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Generated Nov 10, 2026
  1. Programmable
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  3. Optifye
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growth playbook · Nov 10, 2026

optifye.ai (opens in a new tab)

Optifye growth playbook

Diagnosis

Optifye has the proof most early industrial AI companies lack: five published customer stories with 26-61% efficiency gains in 3 to 10 weeks, 50+ manufacturers, five of India's ten largest auto-component makers as customers and revenue it says is doubling every two months. It is now hiring its first enterprise AE, a BDR, a customer success manager and a deployment project manager in Gurgaon.

The website does not yet sell the way that team will. The demo page names no pilot, timeline or price. The case studies can't be compared side by side. The best long-form guides are missing from the Insights page. The /platform URL holds the partner program. Security answers, integrations and industry pages are missing.

This playbook first turns the demo page into a fixed 3-week pilot offer, then gives the new sales and success hires repeatable tools: a hidden-capacity calculator, a week-one logbook-gap readout, a security pack and an expansion playbook from line to plant to group. Later it builds category leadership with a manual-work efficiency benchmark and a worker-first message.

Growth Score

7/10

Biggest Opportunity

Package what the case studies already prove (existing cameras, 3 days of training, results in 3-10 weeks) into a fixed paid pilot, then expand each win across the customer's other lines and plants.

Biggest Risk

Worker-surveillance concerns, which went viral at launch in 2025, can stall enterprise buyers and works councils. Better-known rivals such as Invisible AI and Retrocausal lead with privacy, certifications and integrations that Optifye does not yet publish.

01

Start here

The three moves to make first. Each one is written up in full below.

  1. 1

    Turn the demo page into a fixed 3-week pilot on the cameras a plant already has

    Write the pilot scope, success criteria and fee on one page, based on the Maso and Neolitezkw timelines.

    High impact First result in 1 month
  2. 2

    Make the five customer stories comparable: industry, plant size, weeks to result and the same three numbers

    Fill the summary table from the five published stories.

    High impact First result in 1 month
  3. 3

    Give the BDR one sequence per buyer role, each opening with a published customer number

    Write the MD/CEO sequence around the Maso night-shift result.

    High impact First result in 1 month

02

Your idea portfolio

24 ideas, grouped by when to run them. Open any idea for how to run it: the steps, who to approach, copy you can use, and how to measure it.

  • 8 ideas are marked Unexpected: plays you are unlikely to have tried.

    1 of these are things Programmable can build and run for you.

Every idea placed by the effort it takes against the impact it could have. Quick wins sit top left; select a number to open that idea. The filters below narrow the list by status, timing, category and what Programmable can build.

Effort vs impactEach number is an idea. Select one to open it.
Impact →
Quick wins · 4Big bets · 9Fill-ins · 6Reconsider · 5
Effort →

Showing 24 of 24 ideas

This week 8

Quick wins with a clear first action.

  • 01

    Every published Optifye story follows the same path: connect existing IP cameras, train for 3 days, and see results in 3 weeks (Maso, Neolitezkw), or 7 to 10 weeks for bigger rollouts. The new Founding AE is hired to run paid proofs of concept and build ROI cases. Yet /book-a-demo states no demo length, pilot scope, timeline or price, only a scheduler, one testimonial and a 32% figure. A plant head who wants to try it has nothing to show the MD or CFO, so each deal starts by negotiating what a pilot even is.

    High impactLow effort First result in 1 month Founding Account Executive

    First action

    Write the pilot scope, success criteria and fee on one page, based on the Maso and Neolitezkw timelines.

    How to measure it

    Demo-to-paid-pilot rate

    Now
    –
    Target
    40% of qualified demos
    By
    90 days

    Steps

    1. 1

      Fix the pilot scope

      One manual line, existing IP cameras, 3 weeks, and a readout with four agreed success measures.

      Founding Account Executive 2 days

    2. 2

      Set the fee and credit

      A fixed pilot fee or range, credited in full against an annual contract signed within 30 days.

      Co-founder (CEO) 1 day

    3. 3

      Write the page

      Day-by-day timeline, what the plant provides, what it gets, the fee and two case-study proof points.

      Co-founder (CEO) 3 days

    4. 4

      Add qualifying questions

      Plant, line type, operators per line and existing CCTV before the Cal.com slot.

      Founding Product Engineer 1 day

    5. 5

      Template the readout

      A week-3 deck: baseline, actual output, idle time, bottlenecks and a costed rollout.

      Customer Success Manager 1 week

    6. 6

      Check site readiness

      A camera-coverage checklist sent the day the pilot is booked.

      Project Manager, Customer Deployments 2 days

    7. 7

      Use it in outreach

      Link the pilot page in every BDR and AE sequence.

      Business Development Representative ongoing

    8. 8

      Track conversion

      Demo to pilot, and pilot to annual contract, each month.

      Founding Account Executive monthly

    First result
    1 month
    Cost
    Staff time only
    Owner
    Founding Account Executive

    Smallest test

    Send the one-page pilot offer to the next ten demo bookings and compare pilot starts with the last ten.

    Why it works

    Rebuild /book-a-demo as "Start a 3-week pilot". Show the timeline day by day: camera check, 3 days of training, live dashboard and WhatsApp reports, and a week-3 readout. List what the plant provides (IP camera coverage of one manual line and a named contact) and what it gets: actual versus logbook output, idle time per workstation, bottlenecks and a costed rollout case. Publish a pilot fee or range credited against the annual contract, and agree the success criteria before the start. Keep the Cal.com scheduler, but add four qualifying questions (plant, line type, operators per line, existing CCTV yes/no). Use the same page as the link in every BDR and AE email.

    Enterprise buyers move faster when the first step is small, priced and time-boxed. Optifye's own case studies make the 3-week promise credible, and the published scope saves the new AE from re-negotiating every proof of concept.

    Ready to use

    Copy3-week pilot page outline

    Headline: See your manual line's real output in 3 weeks, on cameras you already have
    Days 1-2: camera coverage check on one line
    Days 3-5: AI trains on your streams
    Week 2: live dashboard + daily WhatsApp report
    Week 3: readout - logbook vs actual output, idle time per workstation, top 3 bottlenecks, costed rollout
    You provide: IP camera coverage, one contact
    Fee: [fixed], credited to an annual contract
    Proof: Maso +60.8% throughput (3 weeks); Neolitezkw +26% (3 weeks)
    [Book your pilot call]

    Risks and how to handle them

    • A published fee anchors big accounts too low

      Publish a per-line pilot fee and keep plant-wide pricing in the proposal.

    • Plants without usable IP cameras

      Ask about CCTV on the form and offer a camera kit as an add-on.

    Evidence

    • Your websiteDemo page: H1 "See how Optifye optimizes your factory", one customer testimonial and "32% increase in efficiency"; it states no demo length, response time, pilot or proof-of-concept terms and no pricing; bookings go through a Cal.com scheduler.Source
    • HiringFounding Account Executive: runs large enterprise sales cycles with Indian manufacturers, leads paid proofs of concept, builds ROI cases and creates a repeatable sales playbook. Business Development Representative: outbound calls, email and LinkedIn to CEOs, Managing Directors and VPs of Operations at large manufacturers.Source
    • Your websiteHomepage: H1 "Unlock the next level of operational excellence"; "TRUSTED BY 50+ MANUFACTURERS"; 14 customer logos including Motherson, MAHLE, Spark Minda and Vega; setup connects to existing CCTV and IP cameras, with AI training on the camera streams for 3 days; daily production reports sent via WhatsApp; claims most manufacturers run at only 65% of their true production potential; sectors named: automotive, apparel, welding, medical and electronics.Source
    • Your websiteMaso Automotive story: a 1,000+ employee maker of forged and machined auto parts in Aurangabad; results within the first 3 weeks, then rollout across all manual operations in the plant; micro-stoppages added up to nearly 1 hour of idle time per workstation per shift; "Entire night shift eliminated"; Operations Head: "AI cameras have supercharged my entire team - we want to deploy this everywhere we can".Source
    • Your websiteCustomers page (checked November 9, 2026): five stories, Vega Auto (+32% line efficiency), Polymedicure (+36% plant efficiency), Neolitezkw (+26%, results in 3 weeks), Maso Automotive (+60.8% line throughput, card labelled "Maso Group") and an unnamed industrial manufacturer (+33%, URL ending "by-30"); no filters by industry, plant size or time to result, no logos, and no PDFs, videos or ROI figures on the story pages.Source
  • 02

    Optifye's five stories are strong, but each reports different measures (line efficiency, plant efficiency, throughput, idle time, SOP compliance), so a buyer can't see at a glance which one looks like their plant. The index page has no filters, no logos and no ROI figures. Small inconsistencies also invite doubt: one card says "Maso Group" while the title says "Maso Automotive", and the 33% story's URL ends in "by-30".

    High impactLow effort First result in 1 month Co founder

    First action

    Fill the summary table from the five published stories.

    How to measure it

    Case-study-to-demo rate

    Now
    –
    Target
    +30%
    By
    60 days

    Steps

    1. 1

      Build the table

      Industry, size, location, cameras, weeks, efficiency, idle time, quote.

      Co-founder (CEO) 1 day

    2. 2

      Align headline numbers

      The same three numbers at the top of every story.

      Customer Success Manager 2 days

    3. 3

      Fix names and slugs

      One customer name per story; 301 the old URLs.

      Founding Product Engineer 2 hours

    4. 4

      Make one-pagers

      A forwardable PDF per story.

      Co-founder (CEO) 3 days

    5. 5

      Add filters

      Industry and plant size on the index.

      Founding Product Engineer 1 day

    6. 6

      Measure

      Story views to demo bookings.

      Founding Account Executive monthly

    First result
    1 month
    Cost
    $0
    Owner
    Co founder (CEO)

    Smallest test

    Publish the summary table at the top of /case-studies this week.

    Why it works

    Add a summary table to /case-studies: industry, employees, plant location, cameras, weeks to result, efficiency gain, idle-time change and one quote. Give every story the same three headline numbers (efficiency, idle time, weeks to result) and a downloadable one-page PDF the plant head can forward. Add industry and size filters as the library grows. Fix the Maso naming, and redirect the "by-30" and truncated Vega URLs to clean slugs.

    Industrial buyers look for a plant like their own, and a consistent table makes five stories feel like a pattern rather than five anecdotes.

    Risks and how to handle them

    • Customers object to more detail

      Share the table with each customer before publishing.

    Evidence

    • Your websiteCustomers page (checked November 9, 2026): five stories, Vega Auto (+32% line efficiency), Polymedicure (+36% plant efficiency), Neolitezkw (+26%, results in 3 weeks), Maso Automotive (+60.8% line throughput, card labelled "Maso Group") and an unnamed industrial manufacturer (+33%, URL ending "by-30"); no filters by industry, plant size or time to result, no logos, and no PDFs, videos or ROI figures on the story pages.Source
    • Your websitePolymedicure story: efficiency had plateaued after 5S, Lean and industrial engineering consultants; one supervisor oversaw 50+ operators; automated reporting at 98.5% accuracy revealed a 12% gap between actual output and logbook data; in 7 weeks, +36% efficiency and +49% operator SOP compliance; Head of Operational Excellence: "Optifye is basically a 24/7 timestudy on each workstation".Source
    • Your websiteVega Auto story: a 3,000+ employee helmet maker; operator-level tracking at 98.5% accuracy; an automatically built operator skill matrix used to place skilled operators at bottlenecks; idle time of about 54 minutes per shift, traced by an idle time analysis agent mainly to missing input material; cross-plant benchmarking; +32% efficiency in 8 weeks.Source
  • 03

    The Insights link in the main menu shows only three one-minute posts. The five longer guides, the ones that answer what buyers actually search for (OEE for manual work, manual process intelligence, hidden capacity before adding headcount), sit only in /category/all, which no menu links to. There is no newsletter to bring readers back.

    Medium impactLow effort First result in 2 weeks Co founder

    First action

    Add the five guides to the Insights listing.

    How to measure it

    Insights-to-demo clicks

    Now
    –
    Target
    3x
    By
    60 days

    Steps

    1. 1

      List all guides

      All 8 articles on /insights with summaries.

      Founding Product Engineer 2 hours

    2. 2

      Group by topic

      Three topic headers.

      Co-founder (CEO) 2 hours

    3. 3

      Link to proof

      Each guide links to one case study and the pilot page.

      Co-founder (CEO) 2 hours

    4. 4

      Add signup

      A monthly email for operations leaders.

      Founding Product Engineer 1 day

    5. 5

      Redirect

      /category/all to /insights.

      Founding Product Engineer 1 hour

    6. 6

      Track

      Views and demo clicks per guide in Search Console and analytics.

      Co-founder (CEO) monthly

    First result
    2 weeks
    Cost
    $0
    Owner
    Co founder (CEO)

    Smallest test

    Add the OEE guide to the top of /insights today.

    Why it works

    List every guide on /insights, newest first, with a short summary and reading time. Group them by topic (measuring manual work, hidden capacity, connected factory), link each guide to the closest case study and the pilot page, and add an email signup for plant and operations leaders. Point /category/all at /insights.

    The pages are already written. Making them findable from the menu and linking them to proof turns content that is currently invisible into a path to a demo.

    Risks and how to handle them

    • Thin one-minute posts dilute the page

      Feature the long guides first.

    Evidence

    • Your websiteThe Insights page lists only three one-minute posts, all dated 12 Oct 2026 (one is "You get the performance you reward."), while /category/all holds 13 items, including five longer guides that Insights does not list, such as "Machines Have OEE. What About Manual Work?", "What Is Manual Process Intelligence" and "How to Find Hidden Capacity in Manual Work Before Adding Machines or Headcount"; there is no newsletter signup.Source
    • Your websiteArticle "Machines Have OEE. What About Manual Work?": "Measure the process, not the person"; argues there is no single universal "human OEE" and proposes four questions: was the process ready, did work flow, was the sequence followed correctly, and was the improvement sustained.Source
  • 04

    The URL a buyer or search engine would expect to explain the product, /platform, actually holds the Manufacturing AI Partner Program page for consultants and connectors, and its only buttons are "Book a Demo". So Optifye has no page describing its product modules (live output, idle time agent, skill matrix, cross-plant benchmarking, Improvement Center), and its partner program has no way to sign up.

    Medium impactLow effort First result in 2 weeks Founding Product Engineer

    First action

    Move the partner content to /partners and add a partner application form.

    How to measure it

    Partner applications

    Now
    –
    Target
    15 in 90 days
    By
    90 days

    Steps

    1. 1

      Move partners

      Move the partner content to /partners and update the sitemap and any links.

      Founding Product Engineer 2 hours

    2. 2

      Add the form

      Name, firm, plants served, region.

      Founding Product Engineer 2 hours

    3. 3

      List modules

      Live output, idle time, skill matrix, SOP adherence, benchmarking, Improvement Center.

      Founding Product Engineer 1 day

    4. 4

      Add screenshots

      Anonymised dashboard and WhatsApp report.

      Founding Product Engineer 2 days

    5. 5

      Link proof

      One case study per module.

      Co-founder (CEO) 1 day

    6. 6

      Publish and link

      Main menu and homepage.

      Founding Product Engineer 1 hour

    First result
    2 weeks
    Cost
    $0
    Owner
    Founding Product Engineer

    Smallest test

    Add a partner application form to the existing page today.

    Why it works

    Move the partner page to /partners with its own application form. Then build /platform as the product page: the camera-to-dashboard flow, each module with a screenshot and the case study that proves it, deployment options, the security summary and the pilot offer. Link it from the main menu.

    Buyers and AI search assistants look for a product page before booking a call. Partners need a form, not a demo button.

    Risks and how to handle them

    • Screenshots expose customer data

      Use a demo plant with synthetic data.

    Evidence

    • Your websiteSitemap (21 URLs, checked November 9, 2026): no industry, integration, security, pricing or comparison pages; the /platform URL holds the "Manufacturing AI Partner Program" page ("Bring Optifye to production teams") for consultants, industry professionals and connectors, whose only buttons are "Book a Demo".Source
    • Your websiteUnnamed industrial manufacturer story: two plants in Indore about 30 km apart; earlier rigid IoT and vision-AI systems from several vendors gave unreliable data and low adoption; 80+ cameras; a control room at the Mumbai head office monitors both plants; actual cycle times were roughly half the standard targets; Optifye's Improvement Center surfaces recurring issues; +33% efficiency in 10 weeks.Source
    • Your websiteVega Auto story: a 3,000+ employee helmet maker; operator-level tracking at 98.5% accuracy; an automatically built operator skill matrix used to place skilled operators at bottlenecks; idle time of about 54 minutes per shift, traced by an idle time analysis agent mainly to missing input material; cross-plant benchmarking; +32% efficiency in 8 weeks.Source
  • 05

    Optifye says it is trusted by 50+ manufacturers and promises 24/7 support, but both support buttons are emails to one founder's address. There is no help centre, FAQ or phone number, and the page description mentions a support form that isn't there. As revenue doubles, a single inbox becomes the bottleneck, and plant teams can't see any response-time promise.

    Medium impactLow effort First result in 2 weeks Customer Success Manager

    First action

    Create a shared support address and point both buttons to it.

    How to measure it

    Median first response

    Now
    –
    Target
    Under 2 hours in plant hours
    By
    60 days

    Steps

    1. 1

      Shared inbox

      A support address with ticketing.

      Customer Success Manager 1 day

    2. 2

      WhatsApp line

      A support number on the business account.

      Customer Success Manager 2 days

    3. 3

      Set response times

      By severity, shown on the page.

      Co-founder (CEO) 1 day

    4. 4

      Write ten articles

      The most common questions from deployments.

      Project Manager, Customer Deployments 1 week

    5. 5

      Fix the page

      Add the form the description promises.

      Founding Product Engineer 2 hours

    6. 6

      Review tickets

      Monthly themes into the product backlog.

      Customer Success Manager monthly

    First result
    2 weeks
    Cost
    Help-desk subscription
    Owner
    Customer Success Manager

    Smallest test

    Point the buttons to a shared inbox today.

    Why it works

    Set up a shared support address and ticketing, a WhatsApp support number (the channel plants already get their reports on), and a stated response time by severity. Publish a short help centre covering camera offline, wrong counts, adding a workstation, user access and report schedules. Route tickets to the new CSM and deployment PM, and review them monthly for product fixes.

    Fast, visible support protects renewals and expansion, and frees founder time for selling.

    Risks and how to handle them

    • 24/7 promise is hard to keep

      State plant-shift hours honestly, with an urgent line for line-down issues.

    Evidence

    • Your websiteSupport page: two email buttons to one founder's address and a promise of 24/7 availability; no help centre, FAQ, documentation or phone number; the page description mentions a support form that is not on the page.Source
    • Your websiteHomepage: H1 "Unlock the next level of operational excellence"; "TRUSTED BY 50+ MANUFACTURERS"; 14 customer logos including Motherson, MAHLE, Spark Minda and Vega; setup connects to existing CCTV and IP cameras, with AI training on the camera streams for 3 days; daily production reports sent via WhatsApp; claims most manufacturers run at only 65% of their true production potential; sectors named: automotive, apparel, welding, medical and electronics.Source
    • HiringCustomer Success Manager: owns onboarding, adoption, renewal and expansion, spending about half the time at customer sites, mostly in North India. Project Manager, Customer Deployments: takes customers from signed deal to live cameras, handles site readiness and camera coverage, and needs English and Hindi. Founding Product Engineer: owns a new product in the factory operating system, working with plant heads and supervisors.Source
  • 06

    Real visitors pass Core Web Vitals, so this is not urgent. But in Google's phone test the hero image takes 4.6 seconds to appear, real-user load time is trending 14% slower, and the "Book a demo" button is the element that shifts as the page loads. Plant managers often browse on mobile data, and the footer still says 2025.

    Low impactLow effort First result in 1 week Founding Product Engineer

    First action

    Replace the hero image with a compressed, correctly sized version.

    How to measure it

    Mobile LCP (lab)

    Now
    –
    Target
    Under 2.5s
    By
    30 days

    Steps

    1. 1

      Resize the hero

      Modern format, mobile size.

      Founding Product Engineer 2 hours

    2. 2

      Preload it

      Prioritise the hero image.

      Founding Product Engineer 1 hour

    3. 3

      Trim components

      Remove unused sections and scripts.

      Founding Product Engineer 1 day

    4. 4

      Fix the button

      Reserve its space.

      Founding Product Engineer 1 hour

    5. 5

      Update footer

      Current year.

      Founding Product Engineer 10 minutes

    6. 6

      Retest

      PageSpeed and field data a month later.

      Founding Product Engineer monthly

    First result
    1 week
    Cost
    $0
    Owner
    Founding Product Engineer

    Smallest test

    Swap the hero image and rerun PageSpeed.

    Why it works

    Compress and resize the hero image and preload it, trim unused Framer components (about 0.5s of unused JavaScript), reserve space for the demo button, and update the footer year. Recheck PageSpeed after the change.

    A faster, steadier first screen keeps mobile visitors on the page and the main button where they expect it.

    Risks and how to handle them

    • Framer limits fine control

      Focus on image size and section count.

    Evidence

    • Google PageSpeedHomepage, November 9, 2026: mobile performance 83 (desktop 98); in the lab test the hero image takes 4.6s to appear on a phone (target 2.5s); real visitors pass Core Web Vitals (LCP 2.4s at the 75th percentile), but real-user LCP is trending 14% slower; the "Book a demo" button is the element that shifts; biggest fixes are unused JavaScript (about 0.5s) and image delivery (about 0.2s); the footer copyright still says 2025.Source
  • 15

    The new BDR will cold-call and email CEOs, MDs and VPs of Operations at large manufacturers. Those roles care about different things: the MD about output and headcount (Maso eliminated a whole night shift), operations about idle time and supervisors stretched across 50+ operators, quality and operational excellence about SOP compliance (+49% at Polymedicure). Generic AI-camera outreach blends into the noise.

    High impactLow effort First result in 1 month Business Development Represen…

    First action

    Write the MD/CEO sequence around the Maso night-shift result.

    How to measure it

    Outbound meeting rate

    Now
    –
    Target
    4 per 100
    By
    60 days

    Steps

    1. 1

      Map roles to proof

      One result per role.

      Founding Account Executive 1 day

    2. 2

      Write sequences

      Three sequences of four touches.

      Business Development Representative 3 days

    3. 3

      Link assets

      Case study, pilot page, one guide.

      Business Development Representative 1 day

    4. 4

      Build lists

      By sector and region.

      Business Development Representative 1 week

    5. 5

      Run

      Calls, email and LinkedIn.

      Business Development Representative ongoing

    6. 6

      Compare

      Reply and meeting rate per sequence.

      Founding Account Executive weekly

    First result
    1 month
    Cost
    BDR time
    Owner
    Business Development Representative

    Smallest test

    Send the MD sequence to 50 contacts this week.

    Why it works

    Write three short sequences (MD/CEO, VP Operations/plant head, operational excellence/quality), each opening with the most relevant published result, linking the matching case study and the pilot page, and ending with a 3-week pilot ask. Add a LinkedIn step that shares one guide. Track reply and meeting rates per sequence and sector.

    Role-specific proof from a recognisable Indian peer earns replies, and testing three sequences quickly shows which message the playbook should scale.

    Risks and how to handle them

    • Customers dislike being name-dropped

      Use only published stories, or anonymise.

    Builds on

    Evidence

    • HiringFounding Account Executive: runs large enterprise sales cycles with Indian manufacturers, leads paid proofs of concept, builds ROI cases and creates a repeatable sales playbook. Business Development Representative: outbound calls, email and LinkedIn to CEOs, Managing Directors and VPs of Operations at large manufacturers.Source
    • Your websiteCustomers page (checked November 9, 2026): five stories, Vega Auto (+32% line efficiency), Polymedicure (+36% plant efficiency), Neolitezkw (+26%, results in 3 weeks), Maso Automotive (+60.8% line throughput, card labelled "Maso Group") and an unnamed industrial manufacturer (+33%, URL ending "by-30"); no filters by industry, plant size or time to result, no logos, and no PDFs, videos or ROI figures on the story pages.Source
    • Your websitePolymedicure story: efficiency had plateaued after 5S, Lean and industrial engineering consultants; one supervisor oversaw 50+ operators; automated reporting at 98.5% accuracy revealed a 12% gap between actual output and logbook data; in 7 weeks, +36% efficiency and +49% operator SOP compliance; Head of Operational Excellence: "Optifye is basically a 24/7 timestudy on each workstation".Source
    • Your websiteMaso Automotive story: a 1,000+ employee maker of forged and machined auto parts in Aurangabad; results within the first 3 weeks, then rollout across all manual operations in the plant; micro-stoppages added up to nearly 1 hour of idle time per workstation per shift; "Entire night shift eliminated"; Operations Head: "AI cameras have supercharged my entire team - we want to deploy this everywhere we can".Source
  • 16

    The first surprise in Optifye's stories comes before any improvement: Polymedicure's logbooks were off from actual output by 12%, the Indore plant's real cycle times were about half its standards, and Vega had never measured its 54 minutes of idle time per shift. Those findings arrive within days of going live, weeks before the efficiency results. Today they are buried in the story text instead of being a planned moment in onboarding.

    High impactLow effort First result in 1 month Customer Success Manager

    First action

    Build the readout template from the Polymedicure and Indore findings.

    How to measure it

    Pilot-to-contract rate

    Now
    –
    Target
    70%+
    By
    2 quarters

    Steps

    1. 1

      Template it

      Four charts and three causes.

      Customer Success Manager 2 days

    2. 2

      Automate the data

      Logbook import and measured output.

      Founding Product Engineer 1 week

    3. 3

      Schedule it

      Day 7 of every pilot.

      Project Manager, Customer Deployments per pilot

    4. 4

      Present in person

      Plant head and MD.

      Customer Success Manager 1 hour

    5. 5

      Sign the baseline

      The agreed starting point.

      Founding Account Executive 1 day

    6. 6

      Measure conversion

      With and without the readout.

      Customer Success Manager quarterly

    First result
    1 month
    Cost
    Staff time
    Owner
    Customer Success Manager

    Smallest test

    Run the readout on the next pilot.

    Why it works

    Make a standard week-one readout for every pilot and new line: logbook output against measured output, standard against actual cycle times, idle time per workstation and the top three causes. Present it in person to the plant head and the MD. It sets the baseline that later gains are measured from, and it is often the moment the buyer decides to expand.

    Early value keeps sponsors engaged during the weeks before results show, and a signed baseline makes later ROI claims hard to dispute.

    Risks and how to handle them

    • Plant heads feel exposed by the gap

      Frame it as a measurement gap, not a performance failure.

    Evidence

    • Your websitePolymedicure story: efficiency had plateaued after 5S, Lean and industrial engineering consultants; one supervisor oversaw 50+ operators; automated reporting at 98.5% accuracy revealed a 12% gap between actual output and logbook data; in 7 weeks, +36% efficiency and +49% operator SOP compliance; Head of Operational Excellence: "Optifye is basically a 24/7 timestudy on each workstation".Source
    • Your websiteUnnamed industrial manufacturer story: two plants in Indore about 30 km apart; earlier rigid IoT and vision-AI systems from several vendors gave unreliable data and low adoption; 80+ cameras; a control room at the Mumbai head office monitors both plants; actual cycle times were roughly half the standard targets; Optifye's Improvement Center surfaces recurring issues; +33% efficiency in 10 weeks.Source
    • Your websiteVega Auto story: a 3,000+ employee helmet maker; operator-level tracking at 98.5% accuracy; an automatically built operator skill matrix used to place skilled operators at bottlenecks; idle time of about 54 minutes per shift, traced by an idle time analysis agent mainly to missing input material; cross-plant benchmarking; +32% efficiency in 8 weeks.Source

This quarter 12

The core plays for the next three months.

  • 07

    Optifye's own stories quantify idle time: about 54 minutes per shift at Vega, nearly an hour per workstation per shift at Maso, and a 12% gap between logbook and actual output at Polymedicure. The homepage claims most manufacturers run at 65% of their potential, but gives a buyer no way to turn that into rupees for their own plant, and the AE is hired to build ROI cases one by one.

    High impactMedium effort First result in 6 weeks Founding Account Executive

    First action

    Put the case-study idle-time ranges into a spreadsheet model.

    How to measure it

    Calculator-to-pilot bookings

    Now
    –
    Target
    20 a quarter
    By
    2 quarters

    Steps

    1. 1

      Model it

      Spreadsheet with case-study ranges.

      Founding Account Executive 2 days

    2. 2

      Check assumptions

      With two customers' industrial engineers.

      Customer Success Manager 1 week

    3. 3

      Build the page

      Inputs, outputs and sources.

      Founding Product Engineer 1 week

    4. 4

      PDF output

      A forwardable summary.

      Founding Product Engineer 3 days

    5. 5

      Route to sales

      Inputs attached to the demo booking.

      Founding Product Engineer 1 day

    6. 6

      Use in outreach

      Pre-filled estimates for target plants.

      Business Development Representative ongoing

    7. 7

      Compare to actuals

      Estimate versus pilot result.

      Founding Account Executive quarterly

    First result
    6 weeks
    Cost
    Engineering time
    Owner
    Founding Account Executive

    Smallest test

    Send the spreadsheet version to five prospects in the AE's pipeline.

    Why it works

    Publish a calculator: operators per shift, shifts, cost per operator-hour and units per hour go in, and recovered hours, extra units and value per year come out, using the low, mid and high idle times from the case studies. Show the case study behind each assumption. Offer the result as a PDF, and pass the inputs to the AE so the first call starts from the buyer's own numbers.

    A number the plant head typed in themselves is the ROI case they take to the MD, and it qualifies leads by plant size before the call.

    Risks and how to handle them

    • Inflated estimates hurt trust

      Default to the lowest case-study figure and show the range.

    Builds on

    Evidence

    • Your websiteHomepage: H1 "Unlock the next level of operational excellence"; "TRUSTED BY 50+ MANUFACTURERS"; 14 customer logos including Motherson, MAHLE, Spark Minda and Vega; setup connects to existing CCTV and IP cameras, with AI training on the camera streams for 3 days; daily production reports sent via WhatsApp; claims most manufacturers run at only 65% of their true production potential; sectors named: automotive, apparel, welding, medical and electronics.Source
    • Your websiteMaso Automotive story: a 1,000+ employee maker of forged and machined auto parts in Aurangabad; results within the first 3 weeks, then rollout across all manual operations in the plant; micro-stoppages added up to nearly 1 hour of idle time per workstation per shift; "Entire night shift eliminated"; Operations Head: "AI cameras have supercharged my entire team - we want to deploy this everywhere we can".Source
    • Your websitePolymedicure story: efficiency had plateaued after 5S, Lean and industrial engineering consultants; one supervisor oversaw 50+ operators; automated reporting at 98.5% accuracy revealed a 12% gap between actual output and logbook data; in 7 weeks, +36% efficiency and +49% operator SOP compliance; Head of Operational Excellence: "Optifye is basically a 24/7 timestudy on each workstation".Source
    • Your websiteVega Auto story: a 3,000+ employee helmet maker; operator-level tracking at 98.5% accuracy; an automatically built operator skill matrix used to place skilled operators at bottlenecks; idle time of about 54 minutes per shift, traced by an idle time analysis agent mainly to missing input material; cross-plant benchmarking; +32% efficiency in 8 weeks.Source
    • HiringFounding Account Executive: runs large enterprise sales cycles with Indian manufacturers, leads paid proofs of concept, builds ROI cases and creates a repeatable sales playbook. Business Development Representative: outbound calls, email and LinkedIn to CEOs, Managing Directors and VPs of Operations at large manufacturers.Source
  • 08

    Optifye sells to the largest auto-component makers, whose IT and compliance teams review any camera system. The homepage makes good claims (end-to-end encryption, video deleted within minutes, role-based access), but there is no trust page, data-flow diagram or certification. Retrocausal advertises ISO 27001, face blurring and SSO on its homepage.

    High impactMedium effort First result in 1 quarter Founding Product Engineer

    First action

    Draw the data-flow diagram and write the retention policy in one page.

    How to measure it

    Agreement-to-live time

    Now
    –
    Target
    -30%
    By
    2 quarters

    Steps

    1. 1

      Map the data flow

      Camera, edge, cloud, dashboard, WhatsApp.

      Founding Product Engineer 2 days

    2. 2

      Write policies

      Retention, access, incidents.

      Co-founder (CEO) 1 week

    3. 3

      Fill a questionnaire

      A common vendor security template.

      Founding Product Engineer 1 week

    4. 4

      Publish /security

      Summary plus downloadable pack.

      Founding Product Engineer 2 days

    5. 5

      Plan certification

      Scope and timeline for ISO 27001.

      Co-founder (CEO) 1 month

    6. 6

      Use in deals

      Send with every pilot proposal.

      Founding Account Executive ongoing

    First result
    1 quarter
    Cost
    Staff time; certification later
    Owner
    Founding Product Engineer

    Smallest test

    Send the one-page data-flow summary with the next three proposals.

    Why it works

    Publish a /security page and a PDF pack covering the data flow from camera to edge to cloud, where processing happens, the 10-minute video retention, which analytics are kept and for how long, encryption, access roles, hosting region, incident process and the certification roadmap. Add a standard security questionnaire already filled in, and offer face blurring or anonymised operator IDs as a setting if the product supports it.

    Security review is where enterprise pilots stall. Answering it upfront shortens the cycle and turns a privacy-first design into a selling point.

    Risks and how to handle them

    • Overclaiming security

      Only publish controls in place today; label the roadmap.

    Evidence

    • Your websiteHomepage security section ("Built on Trust, Secured by Design"): end-to-end encryption, video processed in real time and deleted within minutes ("10-Minute Data Retention") with only performance analytics kept, and role-based access for operators, managers and admins. The sitemap has no trust centre, security documentation or certification page.Source
    • Competitor researchRetrocausal's homepage: "AI Copilot for Manufacturing Assembly Optimization"; says it blurs faces and pixelates fixed regions for worker privacy, holds ISO 27001, integrates with MES, OPC UA and SSO, and sells a Kaizen Copilot for time studies from a smartphone or webcam.Source
    • HiringCareers page (published October 25, 2026): Optifye describes itself as valued at US$25 million and backed by Y Combinator and NVO Capital, says five of the ten largest Indian auto-component manufacturers are customers and that revenue is doubling every two months; all five open roles are full-time and in person in Gurgaon.Source
  • 09

    Optifye's launch demo went viral in 2025 as "computer vision sweatshop software", and that coverage still ranks for its name. Its newer writing has moved on ("Measure the process, not the person"), and its stories show operator-friendly uses: skill matrices that put skilled people where they're needed, idle time traced to missing material rather than to workers. Retrocausal puts face blurring on its homepage. Optifye's site doesn't yet answer the question every HR head, works committee and operator will ask.

    High impactMedium effort First result in 1 quarter Co founder

    First action

    Write down which uses Optifye will and won't support, and get founder sign-off.

    How to measure it

    Pilots stalled on workforce objections

    Now
    –
    Target
    Halved
    By
    2 quarters

    Steps

    1. 1

      Set the policy

      Supported and unsupported uses.

      Co-founder (CEO) 1 week

    2. 2

      Write the page

      Plain language, built on the OEE article.

      Co-founder (CEO) 1 week

    3. 3

      Make the leaflet

      English and Hindi, one page.

      Project Manager, Customer Deployments 1 week

    4. 4

      Plant head script

      How to introduce cameras to operators.

      Customer Success Manager 3 days

    5. 5

      Gather operator voices

      Two quotes about fairer reviews or better material flow.

      Customer Success Manager 1 month

    6. 6

      Link everywhere

      Homepage, pilot page, proposals.

      Founding Product Engineer 1 day

    First result
    1 quarter
    Cost
    Staff time and translation
    Owner
    Co founder (CEO)

    Smallest test

    Give the leaflet to operators at the next pilot site and ask the plant head what changed.

    Why it works

    Publish a page and a one-page leaflet for the shop floor: what the cameras see and don't see, that video is deleted within minutes, who can view what, how the data is used (process fixes, material flow, skills, fair recognition) and what it is never used for, if that is company policy. Add a short Hindi version and a script plant heads can use to introduce Optifye to operators. Link it from the homepage security section and from the pilot page.

    It answers the strongest objection before it is raised, gives champions something to show workers' representatives, and reframes the category around fixing processes.

    Risks and how to handle them

    • Reopening old coverage

      Don't mention it; state the policy and show the evidence.

    Builds on

    Evidence

    • Your websiteArticle "Machines Have OEE. What About Manual Work?": "Measure the process, not the person"; argues there is no single universal "human OEE" and proposes four questions: was the process ready, did work flow, was the sequence followed correctly, and was the improvement sustained.Source
    • PressTechCrunch, February 25, 2025: Y Combinator deleted Optifye.ai's launch demo video from X and LinkedIn after a social media backlash; critics called it "computer vision sweatshop software"; neither company responded to TechCrunch.Source
    • Competitor researchRetrocausal's homepage: "AI Copilot for Manufacturing Assembly Optimization"; says it blurs faces and pixelates fixed regions for worker privacy, holds ISO 27001, integrates with MES, OPC UA and SSO, and sells a Kaizen Copilot for time studies from a smartphone or webcam.Source
    • Your websiteVega Auto story: a 3,000+ employee helmet maker; operator-level tracking at 98.5% accuracy; an automatically built operator skill matrix used to place skilled operators at bottlenecks; idle time of about 54 minutes per shift, traced by an idle time analysis agent mainly to missing input material; cross-plant benchmarking; +32% efficiency in 8 weeks.Source
  • 10

    The homepage names five sectors and the case studies cover auto parts, medical devices, helmets and industrial equipment, but the 21-page site has no industry pages. A medical-device plant head searching for SOP compliance monitoring, or an apparel exporter searching for line balancing, lands on a generic homepage.

    Medium impactMedium effort First result in 1 quarter Co founder

    First action

    Draft the auto-components page from the Maso, Neolitezkw and Vega stories.

    How to measure it

    Sector-page demos

    Now
    –
    Target
    10 a quarter
    By
    2 quarters

    Steps

    1. 1

      Pick two sectors

      Auto components and medical devices first.

      Co-founder (CEO) 1 day

    2. 2

      List manual operations

      With two customers per sector.

      Customer Success Manager 1 week

    3. 3

      Write pages

      Problems, metrics, proof, pilot criteria.

      Co-founder (CEO) 2 weeks

    4. 4

      Publish

      With a sector filter on case studies.

      Founding Product Engineer 2 days

    5. 5

      Use in outbound

      One sequence per sector.

      Business Development Representative ongoing

    6. 6

      Add the rest

      Apparel, welding, electronics as stories arrive.

      Co-founder (CEO) quarterly

    First result
    1 quarter
    Cost
    Writing time
    Owner
    Co founder (CEO)

    Smallest test

    Publish the auto-components page and send it in one outbound sequence.

    Why it works

    Build five sector pages, each with the operations that sector runs manually, the metrics that matter (SOP compliance in medical devices, line balancing in apparel, cycle time in auto components), the matching case study, and sector-specific pilot success criteria. Start with auto components and medical devices, where the proof already exists.

    Sector pages match how buyers search and how BDRs prospect, and give each outbound sequence a landing page that speaks the buyer's language.

    Risks and how to handle them

    • Thin pages for sectors with no proof

      Publish only where there is a customer story.

    Builds on

    Evidence

    • Your websiteHomepage: H1 "Unlock the next level of operational excellence"; "TRUSTED BY 50+ MANUFACTURERS"; 14 customer logos including Motherson, MAHLE, Spark Minda and Vega; setup connects to existing CCTV and IP cameras, with AI training on the camera streams for 3 days; daily production reports sent via WhatsApp; claims most manufacturers run at only 65% of their true production potential; sectors named: automotive, apparel, welding, medical and electronics.Source
    • Your websiteSitemap (21 URLs, checked November 9, 2026): no industry, integration, security, pricing or comparison pages; the /platform URL holds the "Manufacturing AI Partner Program" page ("Bring Optifye to production teams") for consultants, industry professionals and connectors, whose only buttons are "Book a Demo".Source
    • Your websiteCustomers page (checked November 9, 2026): five stories, Vega Auto (+32% line efficiency), Polymedicure (+36% plant efficiency), Neolitezkw (+26%, results in 3 weeks), Maso Automotive (+60.8% line throughput, card labelled "Maso Group") and an unnamed industrial manufacturer (+33%, URL ending "by-30"); no filters by industry, plant size or time to result, no logos, and no PDFs, videos or ROI figures on the story pages.Source
  • 11

    Polymedicure had tried 5S, Lean and industrial engineering consultants before Optifye, and its gains had plateaued because nothing measured continuously. Optifye already has a partner program page for consultants and connectors, but it has no form, no terms and no partner tools. Those consultants walk into exactly the plants Optifye wants, and they would gain from measurable, lasting results.

    High impactMedium effort First result in 1 quarter Co founder

    First action

    List 20 IE and Lean consultancies active in Optifye's customer regions.

    How to measure it

    Pilots from partners

    Now
    –
    Target
    5 a quarter
    By
    2 quarters

    Steps

    1. 1

      Set terms

      Referral and resale fees.

      Co-founder (CEO) 1 week

    2. 2

      Build the kit

      Pilot outline, calculator, co-branded report.

      Founding Account Executive 2 weeks

    3. 3

      List consultancies

      20 in the main manufacturing regions.

      Business Development Representative 1 week

    4. 4

      Recruit

      Meet and sign ten.

      Co-founder (CEO) 1 month

    5. 5

      Train

      A Kaizen-with-data session.

      Customer Success Manager 1 day each

    6. 6

      Review

      Pipeline per partner each month.

      Founding Account Executive monthly

    First result
    1 quarter
    Cost
    Partner fees on closed deals
    Owner
    Co founder (CEO)

    Smallest test

    Sign one consultancy and run one joint pilot.

    Why it works

    Turn the partner page into a programme for operational-excellence and IE consultancies: a referral or resale fee, a partner pilot kit, co-branded before-and-after reports, and training on running a Kaizen event with Optifye data. Recruit ten consultancies in the auto and medical-device clusters, and give each a named contact.

    Consultants already hold the trust of plant heads, and continuous measurement makes their own work stick, so the incentives line up.

    Risks and how to handle them

    • Consultants see Optifye as a replacement

      Position it as their measurement layer, with credit for results.

    Builds on

    Evidence

    • Your websiteSitemap (21 URLs, checked November 9, 2026): no industry, integration, security, pricing or comparison pages; the /platform URL holds the "Manufacturing AI Partner Program" page ("Bring Optifye to production teams") for consultants, industry professionals and connectors, whose only buttons are "Book a Demo".Source
    • Your websitePolymedicure story: efficiency had plateaued after 5S, Lean and industrial engineering consultants; one supervisor oversaw 50+ operators; automated reporting at 98.5% accuracy revealed a 12% gap between actual output and logbook data; in 7 weeks, +36% efficiency and +49% operator SOP compliance; Head of Operational Excellence: "Optifye is basically a 24/7 timestudy on each workstation".Source
  • 12

    Optifye's best revenue path is visible in its own stories. Maso went from first results in 3 weeks to every manual operation in the plant, and its operations head wants to "deploy this everywhere". The Indore customer runs 80+ cameras across two plants from a head-office control room, and Vega benchmarks the same process across plants. The new CSM owns renewal and expansion, but there is no written path for when and how to propose the next line or plant.

    High impactMedium effort First result in 1 quarter Customer Success Manager

    First action

    Record, for each customer, manual lines and plants covered versus total.

    How to measure it

    Net revenue retention

    Now
    –
    Target
    150%+
    By
    4 quarters

    Steps

    1. 1

      Map coverage

      Lines and plants live per customer.

      Customer Success Manager 1 week

    2. 2

      Define triggers

      When to propose the next line or plant.

      Customer Success Manager 2 days

    3. 3

      Rollout template

      Per-plant proposal with costs and expected gains.

      Founding Account Executive 1 week

    4. 4

      Group dashboard

      Head-office view across plants.

      Founding Product Engineer 1 month

    5. 5

      Quarterly reviews

      Results in money for the MD.

      Customer Success Manager quarterly

    6. 6

      Plan installs

      Camera coverage per new plant.

      Project Manager, Customer Deployments per rollout

    First result
    1 quarter
    Cost
    Staff time
    Owner
    Customer Success Manager

    Smallest test

    Propose a second line to the three customers with the best pilot results.

    Why it works

    Define expansion triggers (target hit on the pilot line for two weeks, the plant head sharing reports upward, a second plant asking), a standard rollout proposal per plant, a group-level dashboard offer for head offices, and an executive review every quarter showing gains in money. Track coverage per customer: lines live out of total manual lines, and plants live out of total plants.

    Expansion within accounts that have already seen results is the cheapest revenue, and large Indian manufacturers run many similar plants.

    Risks and how to handle them

    • Deployment team overload

      Stage rollouts by plant, with a readiness checklist.

    Evidence

    • Your websiteMaso Automotive story: a 1,000+ employee maker of forged and machined auto parts in Aurangabad; results within the first 3 weeks, then rollout across all manual operations in the plant; micro-stoppages added up to nearly 1 hour of idle time per workstation per shift; "Entire night shift eliminated"; Operations Head: "AI cameras have supercharged my entire team - we want to deploy this everywhere we can".Source
    • Your websiteUnnamed industrial manufacturer story: two plants in Indore about 30 km apart; earlier rigid IoT and vision-AI systems from several vendors gave unreliable data and low adoption; 80+ cameras; a control room at the Mumbai head office monitors both plants; actual cycle times were roughly half the standard targets; Optifye's Improvement Center surfaces recurring issues; +33% efficiency in 10 weeks.Source
    • Your websiteVega Auto story: a 3,000+ employee helmet maker; operator-level tracking at 98.5% accuracy; an automatically built operator skill matrix used to place skilled operators at bottlenecks; idle time of about 54 minutes per shift, traced by an idle time analysis agent mainly to missing input material; cross-plant benchmarking; +32% efficiency in 8 weeks.Source
    • HiringCustomer Success Manager: owns onboarding, adoption, renewal and expansion, spending about half the time at customer sites, mostly in North India. Project Manager, Customer Deployments: takes customers from signed deal to live cameras, handles site readiness and camera coverage, and needs English and Hindi. Founding Product Engineer: owns a new product in the factory operating system, working with plant heads and supervisors.Source
  • 13

    Optifye already sends daily production reports on WhatsApp, the channel Indian plant leaders live in. Every forward to an MD, a group COO or a peer at another plant is a product demo, but a static report doesn't invite the reader to see more. The BDR is hired to reach exactly those CEOs and MDs cold.

    Medium impactLow effort First result in 1 quarter Founding Product Engineer

    First action

    Count how many report recipients each account has today.

    How to measure it

    Access requests from forwarded reports

    Now
    –
    Target
    10 a quarter
    By
    2 quarters

    Steps

    1. 1

      Count recipients

      Per account, today.

      Customer Success Manager 1 day

    2. 2

      Redesign the report

      Three headline numbers, readable on a phone.

      Founding Product Engineer 1 week

    3. 3

      Add view links

      Secure, role-based, expiring.

      Founding Product Engineer 1 week

    4. 4

      Request access

      Alert the CSM on new viewers.

      Founding Product Engineer 3 days

    5. 5

      MD weekly summary

      Money and trend.

      Customer Success Manager 1 week

    6. 6

      Follow up

      Each access request within a day.

      Customer Success Manager ongoing

    First result
    1 quarter
    Cost
    Engineering time
    Owner
    Founding Product Engineer

    Smallest test

    Add a weekly MD summary for three accounts and track replies.

    Why it works

    Design the daily report to be forwarded: a clean headline (output against target, idle time, top bottleneck) and a secure view link with role-based access for invited colleagues. For readers outside the account, add a short "what is this?" line and a request-access option that alerts the CSM. Add a weekly summary for the MD.

    Forwarded reports reach senior buyers and sister plants with proof attached, at no extra cost.

    Risks and how to handle them

    • Customer data leaks via forwards

      Headline numbers only, with details behind login.

    Evidence

    • Your websiteHomepage: H1 "Unlock the next level of operational excellence"; "TRUSTED BY 50+ MANUFACTURERS"; 14 customer logos including Motherson, MAHLE, Spark Minda and Vega; setup connects to existing CCTV and IP cameras, with AI training on the camera streams for 3 days; daily production reports sent via WhatsApp; claims most manufacturers run at only 65% of their true production potential; sectors named: automotive, apparel, welding, medical and electronics.Source
    • Your websiteUnnamed industrial manufacturer story: two plants in Indore about 30 km apart; earlier rigid IoT and vision-AI systems from several vendors gave unreliable data and low adoption; 80+ cameras; a control room at the Mumbai head office monitors both plants; actual cycle times were roughly half the standard targets; Optifye's Improvement Center surfaces recurring issues; +33% efficiency in 10 weeks.Source
    • HiringFounding Account Executive: runs large enterprise sales cycles with Indian manufacturers, leads paid proofs of concept, builds ROI cases and creates a repeatable sales playbook. Business Development Representative: outbound calls, email and LinkedIn to CEOs, Managing Directors and VPs of Operations at large manufacturers.Source
  • 14

    Optifye counts five of India's ten largest auto-component makers as customers, and its happiest customers say so publicly ("we want to deploy this everywhere"). Manufacturing buyers trust what they see on a peer's shop floor more than any deck. A live dashboard next to the line it measures is the most convincing demo Optifye can give, and the AE is hired to build a repeatable playbook.

    High impactMedium effort First result in 1 quarter Founding Account Executive

    First action

    Ask the two most enthusiastic customers whether they'd host a visit.

    How to measure it

    Visit-to-pilot rate

    Now
    –
    Target
    25% of attending plants
    By
    2 quarters

    Steps

    1. 1

      Recruit hosts

      Two customers in different regions.

      Customer Success Manager 2 weeks

    2. 2

      Agree rules

      What visitors can see; confidentiality.

      Co-founder (CEO) 1 week

    3. 3

      Invite

      Plant heads from the BDR's target list.

      Business Development Representative 3 weeks

    4. 4

      Run the day

      Line walk, dashboard, host talk, Q&A.

      Founding Account Executive half a day

    5. 5

      Follow up

      Pilot offer within 48 hours.

      Founding Account Executive 2 days

    6. 6

      Thank the host

      Fee credit or feature access.

      Customer Success Manager 1 week

    First result
    1 quarter
    Cost
    Travel and hospitality
    Owner
    Founding Account Executive

    Smallest test

    Bring three prospects to one customer line.

    Build the prospect list. The list compiled from public sources, verified, deduplicated and delivered to your CRM. Usually live within days.

    Book a working session

    Why it works

    With one or two willing customers per region, host a half-day visit every quarter for 8-12 invited plant heads and operations leaders: a walk along the monitored line, the live dashboard, the host's operations head on what changed, and a pilot sign-up at the end. Offer the host a fee credit or early access to new features.

    Peer proof in a real plant removes the main doubt (does it work on a messy manual line like mine?) and attendees often arrive ready for a pilot.

    Risks and how to handle them

    • Host's competitors attend

      Let the host approve the guest list.

    Evidence

    • HiringCareers page (published October 25, 2026): Optifye describes itself as valued at US$25 million and backed by Y Combinator and NVO Capital, says five of the ten largest Indian auto-component manufacturers are customers and that revenue is doubling every two months; all five open roles are full-time and in person in Gurgaon.Source
    • Your websiteMaso Automotive story: a 1,000+ employee maker of forged and machined auto parts in Aurangabad; results within the first 3 weeks, then rollout across all manual operations in the plant; micro-stoppages added up to nearly 1 hour of idle time per workstation per shift; "Entire night shift eliminated"; Operations Head: "AI cameras have supercharged my entire team - we want to deploy this everywhere we can".Source
    • HiringFounding Account Executive: runs large enterprise sales cycles with Indian manufacturers, leads paid proofs of concept, builds ROI cases and creates a repeatable sales playbook. Business Development Representative: outbound calls, email and LinkedIn to CEOs, Managing Directors and VPs of Operations at large manufacturers.Source
  • 17

    Optifye is hiring its deployment project manager specifically for English and Hindi, and its CSM will spend half the month in North Indian plants. The people who act on live data are line supervisors, each covering 30 to 50+ operators. Earlier vision systems at the Indore plant failed partly on low adoption. If dashboards and reports are English-only, supervisor use depends on the manager translating them.

    Medium impactMedium effort First result in 1 quarter Founding Product Engineer

    First action

    Ask three customers which language their supervisors prefer.

    How to measure it

    Supervisors active weekly

    Now
    –
    Target
    +40%
    By
    2 quarters

    Steps

    1. 1

      Survey

      Supervisor languages per plant.

      Customer Success Manager 1 week

    2. 2

      Translate key screens

      Supervisor view and report.

      Founding Product Engineer 2 weeks

    3. 3

      Review on the floor

      With supervisors at two plants.

      Project Manager, Customer Deployments 1 week

    4. 4

      Ship a toggle

      Language per user.

      Founding Product Engineer 1 week

    5. 5

      Train

      During each deployment.

      Project Manager, Customer Deployments per site

    6. 6

      Measure use

      Active supervisors and alert response times.

      Customer Success Manager monthly

    First result
    1 quarter
    Cost
    Engineering and translation
    Owner
    Founding Product Engineer

    Smallest test

    Send one plant's WhatsApp report in Hindi for two weeks.

    Why it works

    Offer Hindi (then Marathi, Kannada or Tamil where customers cluster) for the supervisor view and the daily WhatsApp report: plain headlines, icons for idle time and bottlenecks, and short voice-note summaries if useful. Measure supervisor log-ins and alert response times before and after.

    Adoption on the floor is what turns visibility into the efficiency gains that renewals depend on.

    Risks and how to handle them

    • Technical terms translate poorly

      Keep floor terms supervisors already use.

    Evidence

    • HiringCustomer Success Manager: owns onboarding, adoption, renewal and expansion, spending about half the time at customer sites, mostly in North India. Project Manager, Customer Deployments: takes customers from signed deal to live cameras, handles site readiness and camera coverage, and needs English and Hindi. Founding Product Engineer: owns a new product in the factory operating system, working with plant heads and supervisors.Source
    • Your websitePolymedicure story: efficiency had plateaued after 5S, Lean and industrial engineering consultants; one supervisor oversaw 50+ operators; automated reporting at 98.5% accuracy revealed a 12% gap between actual output and logbook data; in 7 weeks, +36% efficiency and +49% operator SOP compliance; Head of Operational Excellence: "Optifye is basically a 24/7 timestudy on each workstation".Source
    • Your websiteUnnamed industrial manufacturer story: two plants in Indore about 30 km apart; earlier rigid IoT and vision-AI systems from several vendors gave unreliable data and low adoption; 80+ cameras; a control room at the Mumbai head office monitors both plants; actual cycle times were roughly half the standard targets; Optifye's Improvement Center surfaces recurring issues; +33% efficiency in 10 weeks.Source
  • 18

    Optifye's own writing argues a factory isn't connected until human work joins the digital thread, and Maso already ran IoT on its machines before Optifye. Yet the site lists no integrations, while Retrocausal advertises MES, OPC UA and SSO. Enterprise IT teams ask where the data goes next.

    Medium impactHigh effort First result in 2 quarters Founding Product Engineer

    First action

    List the systems each current customer runs next to Optifye.

    How to measure it

    Integration adoption

    Now
    –
    Target
    30% of customers
    By
    3 quarters

    Steps

    1. 1

      Survey systems

      ERP, MES, machine IoT, SSO per customer.

      Customer Success Manager 1 week

    2. 2

      Pick three

      By frequency and deal impact.

      Founding Product Engineer 2 days

    3. 3

      Build an API

      Documented export of output and idle time.

      Founding Product Engineer 1 month

    4. 4

      Build connectors

      The top two systems.

      Founding Product Engineer 1 month

    5. 5

      Publish the page

      Live and planned integrations.

      Founding Product Engineer 2 days

    6. 6

      Sell it

      In proposals and security reviews.

      Founding Account Executive ongoing

    First result
    2 quarters
    Cost
    Engineering time
    Owner
    Founding Product Engineer

    Smallest test

    Offer a daily CSV export to two customers.

    Why it works

    Ship the two or three integrations customers ask for most (for example a CSV/API export, an ERP production-order sync and SSO), then publish an /integrations page listing what exists and what is planned. Tie it to the "digital thread" guide so the content and the product tell the same story.

    Integrations make Optifye part of the plant's system of record, which raises switching costs and answers an enterprise checklist item.

    Risks and how to handle them

    • Custom one-off work

      Build only reusable connectors.

    Builds on

    Evidence

    • Competitor researchRetrocausal's homepage: "AI Copilot for Manufacturing Assembly Optimization"; says it blurs faces and pixelates fixed regions for worker privacy, holds ISO 27001, integrates with MES, OPC UA and SSO, and sells a Kaizen Copilot for time studies from a smartphone or webcam.Source
    • Your websiteSitemap (21 URLs, checked November 9, 2026): no industry, integration, security, pricing or comparison pages; the /platform URL holds the "Manufacturing AI Partner Program" page ("Bring Optifye to production teams") for consultants, industry professionals and connectors, whose only buttons are "Book a Demo".Source
    • Your websiteMaso Automotive story: a 1,000+ employee maker of forged and machined auto parts in Aurangabad; results within the first 3 weeks, then rollout across all manual operations in the plant; micro-stoppages added up to nearly 1 hour of idle time per workstation per shift; "Entire night shift eliminated"; Operations Head: "AI cameras have supercharged my entire team - we want to deploy this everywhere we can".Source
  • 19

    Optifye's real competitor in most plants is the status quo: periodic stopwatch time studies, logbooks and visiting IE teams, which every story says missed micro-stoppages and drift. Its own customer calls it "a 24/7 timestudy on each workstation". Invisible AI markets "10x faster than manual time studies", and Retrocausal sells smartphone time studies. Optifye has no comparison pages at all.

    Medium impactLow effort First result in 1 quarter Co founder

    First action

    Write the time-study comparison using the case-study before-and-after descriptions.

    How to measure it

    Comparison-page demos

    Now
    –
    Target
    5 a month
    By
    2 quarters

    Steps

    1. 1

      Write the status-quo page

      Optifye vs stopwatch time studies.

      Co-founder (CEO) 1 week

    2. 2

      Check rival facts

      From their current sites.

      Founding Account Executive 2 days

    3. 3

      Write vendor pages

      Fixed-camera and smartphone approaches.

      Co-founder (CEO) 1 week

    4. 4

      Legal check

      Claims and trademarks.

      Co-founder (CEO) 2 days

    5. 5

      Publish

      Linked from Insights and sector pages.

      Founding Product Engineer 1 day

    6. 6

      Refresh

      Every quarter.

      Founding Account Executive quarterly

    First result
    1 quarter
    Cost
    $0
    Owner
    Co founder (CEO)

    Smallest test

    Publish the time-study page and share it with the partner consultancies.

    Why it works

    Publish "Optifye vs manual time studies" first: coverage (every cycle versus a sample), cost per study, staleness, what each catches, and how they work together. Then add fair pages on fixed-camera vision systems and on smartphone time-study tools: own versus existing cameras, deployment time, and on-premise versus cloud, each with dated, sourced claims.

    It captures searches by IE and operations teams who are evaluating how to measure manual work, and frames Optifye against the habit it replaces.

    Risks and how to handle them

    • IE teams feel attacked

      Position Optifye as their always-on tool, not their replacement.

    Evidence

    • Your websitePolymedicure story: efficiency had plateaued after 5S, Lean and industrial engineering consultants; one supervisor oversaw 50+ operators; automated reporting at 98.5% accuracy revealed a 12% gap between actual output and logbook data; in 7 weeks, +36% efficiency and +49% operator SOP compliance; Head of Operational Excellence: "Optifye is basically a 24/7 timestudy on each workstation".Source
    • Your websiteVega Auto story: a 3,000+ employee helmet maker; operator-level tracking at 98.5% accuracy; an automatically built operator skill matrix used to place skilled operators at bottlenecks; idle time of about 54 minutes per shift, traced by an idle time analysis agent mainly to missing input material; cross-plant benchmarking; +32% efficiency in 8 weeks.Source
    • Competitor researchInvisible AI's homepage: a "vision execution system" with "100% of cycles captured" and "10x faster than manual time studies", deployed on-premise with its own cameras, showing Mercedes-Benz, Ford, Toyota, BMW, General Motors and Nissan.Source
    • Competitor researchRetrocausal's homepage: "AI Copilot for Manufacturing Assembly Optimization"; says it blurs faces and pixelates fixed regions for worker privacy, holds ISO 27001, integrates with MES, OPC UA and SSO, and sells a Kaizen Copilot for time studies from a smartphone or webcam.Source
    • Your websiteSitemap (21 URLs, checked November 9, 2026): no industry, integration, security, pricing or comparison pages; the /platform URL holds the "Manufacturing AI Partner Program" page ("Bring Optifye to production teams") for consultants, industry professionals and connectors, whose only buttons are "Book a Demo".Source
  • 20

    Optifye's customers say vivid things ("supercharged my entire team", "a 24/7 timestudy"), but the case-study pages are text only, with no video or PDF. Manufacturing buyers want to see the line, the camera placement and the dashboard, and short clips travel well on LinkedIn and WhatsApp, where Optifye's buyers are.

    Medium impactMedium effort First result in 1 quarter Customer Success Manager

    First action

    Ask the two most enthusiastic customers to film this month.

    How to measure it

    Video-page demo rate

    Now
    –
    Target
    +25% against text-only pages
    By
    2 quarters

    Steps

    1. 1

      Recruit

      Two customers first.

      Customer Success Manager 2 weeks

    2. 2

      Script lightly

      Before, what changed, result.

      Co-founder (CEO) 2 days

    3. 3

      Film on site

      Phone-quality is fine; blur operators.

      Customer Success Manager 1 day each

    4. 4

      Edit

      Two-minute and 30-second cuts.

      Co-founder (CEO) 1 week

    5. 5

      Publish

      Case-study pages and LinkedIn.

      Founding Product Engineer 1 day

    6. 6

      Use in sales

      Sequences and pilot page.

      Business Development Representative ongoing

    First result
    1 quarter
    Cost
    Freelance editing
    Owner
    Customer Success Manager

    Smallest test

    Record one phone interview with an operations head this month.

    Why it works

    Film one short video per published customer: the operations head on the shop floor, the camera view (with operators blurred if preferred), the dashboard and the result. Put each on its case-study page, cut a 30-second LinkedIn version, and add the clips to BDR sequences and the pilot page.

    Video shows how easy the setup is and makes the proof feel real in a way text can't.

    Risks and how to handle them

    • Plants restrict filming

      Film the dashboard and an interview off the line.

    Builds on

    Evidence

    • Your websiteCustomers page (checked November 9, 2026): five stories, Vega Auto (+32% line efficiency), Polymedicure (+36% plant efficiency), Neolitezkw (+26%, results in 3 weeks), Maso Automotive (+60.8% line throughput, card labelled "Maso Group") and an unnamed industrial manufacturer (+33%, URL ending "by-30"); no filters by industry, plant size or time to result, no logos, and no PDFs, videos or ROI figures on the story pages.Source
    • Your websiteMaso Automotive story: a 1,000+ employee maker of forged and machined auto parts in Aurangabad; results within the first 3 weeks, then rollout across all manual operations in the plant; micro-stoppages added up to nearly 1 hour of idle time per workstation per shift; "Entire night shift eliminated"; Operations Head: "AI cameras have supercharged my entire team - we want to deploy this everywhere we can".Source

Big bets 3

Larger plays that can change the trajectory.

  • 21

    Optifye has argued in writing that machines have OEE but manual work has no agreed measure, and proposed four questions to fill the gap. It also holds something nobody else in India has: continuous, operator-level data from 50+ manufacturers, including five of the ten largest auto-component makers. Its stories already contain benchmark-grade numbers: 54 minutes to 1.3 hours of idle time per shift, 12% logbook gaps, and cycle times at half the standard.

    High impactHigh effort First result in 2 quarters Co founder

    First action

    Write the metric definition and check that customer contracts allow anonymised aggregate use.

    How to measure it

    Pilots citing the benchmark

    Now
    –
    Target
    15 in the first year
    By
    4 quarters

    Steps

    1. 1

      Define the metric

      Built on the four questions.

      Co-founder (CEO) 1 month

    2. 2

      Check data rights

      Anonymised aggregate use in contracts.

      Co-founder (CEO) 2 weeks

    3. 3

      Build the dataset

      By sector and size.

      Founding Product Engineer 1 month

    4. 4

      Find a partner

      An industry body or publication.

      Co-founder (CEO) 1 month

    5. 5

      Publish

      Report, page and launch event.

      Co-founder (CEO) 1 month

    6. 6

      Private comparisons

      For each customer.

      Customer Success Manager ongoing

    7. 7

      Prospect check

      A free benchmark check as an outbound offer.

      Business Development Representative ongoing

    First result
    2 quarters
    Cost
    Analysis time and launch costs
    Owner
    Co founder (CEO)

    Smallest test

    Publish one chart of median idle time per shift across current customers.

    Why it works

    Define an open, named measure for manual-process efficiency built on the four questions, then publish an annual anonymised benchmark: idle time, logbook gap, cycle time against standard and SOP adherence, broken down by sector and plant size. Launch it with an industry body or a business publication, offer each customer a private comparison against the benchmark, and give prospects a free benchmark check.

    Owning the metric makes Optifye the reference point for the category, earns press and gives every sales conversation a neutral reason to start.

    Risks and how to handle them

    • Customers fear exposure

      Aggregate only, with minimum group sizes.

    Builds on

    Evidence

    • Your websiteArticle "Machines Have OEE. What About Manual Work?": "Measure the process, not the person"; argues there is no single universal "human OEE" and proposes four questions: was the process ready, did work flow, was the sequence followed correctly, and was the improvement sustained.Source
    • HiringCareers page (published October 25, 2026): Optifye describes itself as valued at US$25 million and backed by Y Combinator and NVO Capital, says five of the ten largest Indian auto-component manufacturers are customers and that revenue is doubling every two months; all five open roles are full-time and in person in Gurgaon.Source
    • Your websitePolymedicure story: efficiency had plateaued after 5S, Lean and industrial engineering consultants; one supervisor oversaw 50+ operators; automated reporting at 98.5% accuracy revealed a 12% gap between actual output and logbook data; in 7 weeks, +36% efficiency and +49% operator SOP compliance; Head of Operational Excellence: "Optifye is basically a 24/7 timestudy on each workstation".Source
    • Your websiteVega Auto story: a 3,000+ employee helmet maker; operator-level tracking at 98.5% accuracy; an automatically built operator skill matrix used to place skilled operators at bottlenecks; idle time of about 54 minutes per shift, traced by an idle time analysis agent mainly to missing input material; cross-plant benchmarking; +32% efficiency in 8 weeks.Source
  • 22

    Several of Optifye's logo customers, such as Motherson and MAHLE, are global auto-component groups with plants on several continents, and Vega's story shows the value of benchmarking the same process across plants. A group that already runs Optifye in India is the easiest way into its plants in other countries, and Optifye works with cameras those plants already have.

    High impactHigh effort First result in 3 quarters Co founder

    First action

    List which current customers run plants outside India and which processes overlap.

    How to measure it

    Plants live outside India

    Now
    –
    Target
    3
    By
    4 quarters

    Steps

    1. 1

      Map footprints

      Customer plants outside India.

      Customer Success Manager 2 weeks

    2. 2

      Pick a sponsor

      The customer with the strongest results.

      Co-founder (CEO) 1 month

    3. 3

      Check requirements

      Data residency, support hours, installers.

      Founding Product Engineer 1 month

    4. 4

      Run a remote pilot

      One line, benchmarked against India.

      Project Manager, Customer Deployments 6 weeks

    5. 5

      Publish the result

      A cross-border case study.

      Co-founder (CEO) 1 month

    6. 6

      Decide on a market

      Where to sell directly next.

      Co-founder (CEO) 1 quarter

    First result
    3 quarters
    Cost
    Travel and support costs
    Owner
    Co founder (CEO)

    Smallest test

    Ask one global customer for a single overseas line.

    Why it works

    With customers that operate abroad, propose a cross-border benchmark: one line in an overseas plant measured against the Indian plant running the same process. Use the head-office control-room model from the Indore story. Use those pilots to learn deployment, support and data-residency needs before opening a market directly.

    Groups want the same visibility everywhere, and a sponsor who has seen results lowers the risk of entering a new country.

    Risks and how to handle them

    • Stricter workplace-monitoring rules abroad

      Start where local law and works councils allow, with process-only data.

    Builds on

    Evidence

    • HiringCareers page (published October 25, 2026): Optifye describes itself as valued at US$25 million and backed by Y Combinator and NVO Capital, says five of the ten largest Indian auto-component manufacturers are customers and that revenue is doubling every two months; all five open roles are full-time and in person in Gurgaon.Source
    • Your websiteHomepage: H1 "Unlock the next level of operational excellence"; "TRUSTED BY 50+ MANUFACTURERS"; 14 customer logos including Motherson, MAHLE, Spark Minda and Vega; setup connects to existing CCTV and IP cameras, with AI training on the camera streams for 3 days; daily production reports sent via WhatsApp; claims most manufacturers run at only 65% of their true production potential; sectors named: automotive, apparel, welding, medical and electronics.Source
    • Your websiteVega Auto story: a 3,000+ employee helmet maker; operator-level tracking at 98.5% accuracy; an automatically built operator skill matrix used to place skilled operators at bottlenecks; idle time of about 54 minutes per shift, traced by an idle time analysis agent mainly to missing input material; cross-plant benchmarking; +32% efficiency in 8 weeks.Source
    • Your websiteUnnamed industrial manufacturer story: two plants in Indore about 30 km apart; earlier rigid IoT and vision-AI systems from several vendors gave unreliable data and low adoption; 80+ cameras; a control room at the Mumbai head office monitors both plants; actual cycle times were roughly half the standard targets; Optifye's Improvement Center surfaces recurring issues; +33% efficiency in 10 weeks.Source
  • 23

    Two stories describe something bigger than monitoring. At the Indore manufacturer, an IE team in a Mumbai head-office control room runs improvement for two plants remotely, with Optifye's Improvement Center surfacing recurring issues. At Vega, an idle time analysis agent traced lost time to missing input material. The new Founding Product Engineer is hired to own a new product in the factory operating system. Head-office IE capacity is scarce, and software that tells it where to look next is worth more than counts.

    High impactHigh effort First result in 2 quarters Founding Product Engineer

    First action

    Interview the two head-office teams about which decisions they make each week and how long the analysis takes.

    How to measure it

    Contract value per plant

    Now
    –
    Target
    +40% on accounts using the tier
    By
    4 quarters

    Steps

    1. 1

      Interview users

      Head-office IE teams.

      Founding Product Engineer 2 weeks

    2. 2

      Define the tier

      Features, limits, price.

      Co-founder (CEO) 2 weeks

    3. 3

      Build ranking

      Opportunities by estimated value.

      Founding Product Engineer 2 months

    4. 4

      Track actions

      Whether each fix held.

      Founding Product Engineer 1 month

    5. 5

      Beta

      Two multi-plant customers.

      Customer Success Manager 1 quarter

    6. 6

      Launch

      Pricing page and case study.

      Founding Account Executive 1 month

    First result
    2 quarters
    Cost
    Product team time
    Owner
    Founding Product Engineer

    Smallest test

    Hand-produce a weekly ranked list for one head office for a month.

    Why it works

    Package Improvement Center as a higher tier for groups with several plants: weekly ranked improvement opportunities with estimated value, root-cause analysis (material, balancing, skills, SOP), tracking of actions and whether gains held, and cross-plant comparisons. Price it per plant above the monitoring tier, and launch it with the Indore-style head-office customers.

    It moves Optifye from showing what happened to saying what to fix next. That raises the contract value and makes Optifye harder to replace than a camera-counting tool.

    Risks and how to handle them

    • Recommendations are wrong

      Show the evidence behind each one and let IE teams rate them.

    Builds on

    Evidence

    • Your websiteUnnamed industrial manufacturer story: two plants in Indore about 30 km apart; earlier rigid IoT and vision-AI systems from several vendors gave unreliable data and low adoption; 80+ cameras; a control room at the Mumbai head office monitors both plants; actual cycle times were roughly half the standard targets; Optifye's Improvement Center surfaces recurring issues; +33% efficiency in 10 weeks.Source
    • Your websiteVega Auto story: a 3,000+ employee helmet maker; operator-level tracking at 98.5% accuracy; an automatically built operator skill matrix used to place skilled operators at bottlenecks; idle time of about 54 minutes per shift, traced by an idle time analysis agent mainly to missing input material; cross-plant benchmarking; +32% efficiency in 8 weeks.Source
    • HiringCustomer Success Manager: owns onboarding, adoption, renewal and expansion, spending about half the time at customer sites, mostly in North India. Project Manager, Customer Deployments: takes customers from signed deal to live cameras, handles site readiness and camera coverage, and needs English and Hindi. Founding Product Engineer: owns a new product in the factory operating system, working with plant heads and supervisors.Source

Wildcards 1

Unexpected experiments, each with a cheap way to test it.

  • 24

    Optifye already builds an operator skill matrix automatically (Vega uses it to place skilled people where they're needed), and one of its newest posts is titled "You get the performance you reward." Today that data flows only upward to supervisors and managers, which is exactly how the 2025 launch demo was attacked. Giving operators their own view turns the same data into something that works for them.

    Medium impactMedium effort First result in 2 quarters Founding Product Engineer

    First action

    Ask Vega-style skill-matrix customers whether they'd pilot sharing it with operators.

    How to measure it

    Operator-submitted issue flags

    Now
    –
    Target
    50 a month at pilot sites
    By
    2 quarters

    Steps

    1. 1

      Find two pilot plants

      With supportive plant heads.

      Customer Success Manager 2 weeks

    2. 2

      Co-design

      With operator representatives.

      Founding Product Engineer 2 weeks

    3. 3

      Build a basic view

      Skills, line progress, recognition.

      Founding Product Engineer 1 month

    4. 4

      Add issue flags

      Material, tools, quality.

      Founding Product Engineer 2 weeks

    5. 5

      Run the pilot

      Eight weeks.

      Project Manager, Customer Deployments 8 weeks

    6. 6

      Publish findings

      Operator and plant-head quotes.

      Co-founder (CEO) 1 month

    First result
    2 quarters
    Cost
    Product team time
    Owner
    Founding Product Engineer

    Smallest test

    Print each operator's skill matrix for one line and ask what they'd want added.

    Why it works

    Pilot a simple operator view on a shared screen or WhatsApp: the skills they're certified on, new processes they could learn, the line's (not the individual's) daily progress, and recognition when the line beats its target. Let operators flag what's slowing them down (missing material, broken tools), which feeds the idle-time analysis. Co-design it with two customers and their operator representatives.

    Operators who benefit from the data accept the cameras, which makes deployments faster and gives Optifye a story no rival tells.

    Risks and how to handle them

    • Ranking individuals publicly backfires

      Show the line's results publicly; each operator sees only their own.

    Builds on

    Evidence

    • Your websiteVega Auto story: a 3,000+ employee helmet maker; operator-level tracking at 98.5% accuracy; an automatically built operator skill matrix used to place skilled operators at bottlenecks; idle time of about 54 minutes per shift, traced by an idle time analysis agent mainly to missing input material; cross-plant benchmarking; +32% efficiency in 8 weeks.Source
    • Your websiteThe Insights page lists only three one-minute posts, all dated 12 Oct 2026 (one is "You get the performance you reward."), while /category/all holds 13 items, including five longer guides that Insights does not list, such as "Machines Have OEE. What About Manual Work?", "What Is Manual Process Intelligence" and "How to Find Hidden Capacity in Manual Work Before Adding Machines or Headcount"; there is no newsletter signup.Source
    • PressTechCrunch, February 25, 2025: Y Combinator deleted Optifye.ai's launch demo video from X and LinkedIn after a social media backlash; critics called it "computer vision sweatshop software"; neither company responded to TechCrunch.Source

03

How Programmable can help

Where an idea in this playbook is something Programmable builds or runs, it's listed here with what we'd do. Everything else is yours to run.

Have it built

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1 of the 24 ideas are things Programmable builds and runs for its customers: pages, outreach, prospect lists, booking flows and monitors. Pick one, or send the whole list.

Prospect lists1The list compiled from public sources, verified, deduplicated and delivered to your CRM.

A 30-minute session with the engineer who would build it, not a sales call. You leave with a plan whether or not you hire us.

Book a working session

Usually live within days.

Tools for the rest

ProgrammableDigital

Show it, don't just describe it

These ideas need something to show: a demo, a video, an animation, graphics or a deck. Digital turns screenshots or the site into all of them, in the company's own brand.

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See every playbook and website review

Independent research. Programmable wrote this playbook from public sources, as they stood on November 10, 2026, and cites them throughout. Optifye did not commission, review or endorse it, and Programmable is not affiliated with Optifye. Company and product names are trademarks of their owners, used only to identify them. The ideas are suggestions and opinion, not professional, legal or financial advice, and not statements about how Optifye runs its business.

Something wrong, or do you represent Optifye? Email [email protected] and we will correct it or take it down.

30/60/90 roadmap

What to focus on in each month, and the ideas that carry it.

  1. Days 1 to 308 ideas

    Pilot offer on the demo page, comparable case studies, the hidden guides on Insights, a real /platform page, a support desk, page speed, role-based outbound and the week-one logbook-gap readout.

  2. Days 31 to 6012 ideas

    Calculator, security pack, worker-first page, industry pages, consultant partners, expansion playbook, WhatsApp sharing, plant visit days, Hindi supervisor views, integrations, the stopwatch comparison and video stories.

  3. Days 61 to 904 ideas

    Commit to the big bets: a manual-work efficiency benchmark, customers' overseas plants, Improvement Center for head-office teams, and an operator-facing view.

The research behind the plan

3 research areas, each summarised in a few lines. Open any of them for the full detail.

Customers

What customers say

Customers value live visibility into fully manual work that was a black box. The most cited problem: one supervisor for 30-50+ operators.

  • Fast results: 3 to 10 weeks to double-digit efficiency gains
  • Handwritten logbooks and stopwatch time studies that miss idle time
  • In their words: “24/7 time study”

Market

Competitive landscape

4 competitors compared: Invisible AI, Retrocausal, Stopwatch time studies and IE consultants and Machine IoT and OEE platforms.

  • Gap to exploit: A trusted efficiency measure for manual work, like OEE for machines
  • Invisible AI: Needs its own cameras
  • Retrocausal: Fewer published customer outcomes

Hiring signals

Optifye is building its first real go-to-market team, all in person in Gurgaon.

  • Founding Account Executive: Paid proofs of concept, ROI cases and a repeatable playbook. Ideas 1, 7, 14.
  • Business Development Representative: Outbound to CEOs, MDs and VPs of Operations. Ideas 13, 15.
  • Customer Success Manager: Adoption, renewal and expansion from customer sites. Ideas 5, 12, 16.

From the team that wrote this playbook

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