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

leeroo.com (opens in a new tab)

Leeroo growth playbook

Diagnosis

Leeroo is a three-person, London-based YC company with unusually strong technical proof: Kapso leads RelBench and won the IOAI 2026 Grand Master Trophy, Leeroopedia has 27,667 pages, and Uniforge has a production result at a $1B enterprise (35+ systems, 62% fewer conflicts, about $20M of trapped value).

The website doesn't turn that proof into enterprise pipeline yet. Every blog post URL shows crawlers and link previews the homepage. The free audit, the only call to action, has no sample report, no explanation of how "no setup" fits with "runs in your cloud", no security page and no booking step.

The open-source audience never hears about Uniforge, and the YC profile and job posts still describe the older "trainable agents" pitch. This playbook fixes those leaks first, then builds documentation, vertical pages, a paid pilot and an open-source-to-enterprise bridge, and finally a deployable mini-audit and an annual data-conflict report.

Growth Score

6/10

Biggest Opportunity

Turn world-class open-source credibility and one strong production result into a repeatable enterprise funnel, with a free audit that buyers can see, trust and book in minutes.

Biggest Risk

A three-person team selling a sovereign, many-system platform to banks and healthcare groups faces long security reviews, against established rivals such as Palantir, Celonis and Tamr. Without public trust material and proof, deals may stall before the audit starts.

01

Start here

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

  1. 1

    Explain how "no setup on your side" works when the audit "runs entirely in your cloud": a one-page access guide for the buyer's security team

    Write down exactly what was deployed and which permissions were granted in the last three audits.

    High impact First result in 1 month
  2. 2

    Show buyers what the free 48-hour audit delivers: publish an anonymised sample report from the $1B enterprise

    Ask the $1B enterprise for written approval to publish an anonymised sample.

    High impact First result in 3 weeks
  3. 3

    Make every blog post its own readable page: today each post URL, including the one shared on Hacker News, shows crawlers and link previews the homepage

    Pre-render "Organizational Superintelligence" and check its URL with a link-preview debugger and a plain fetch.

    High impact First result in 2 weeks

02

Your idea portfolio

23 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.

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

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 · 3Big bets · 9Fill-ins · 7Reconsider · 4
Effort →

Showing 23 of 23 ideas

This week 8

Quick wins with a clear first action.

  • 01

    Leeroo's blog lists four posts, including "Organizational Superintelligence", the essay behind Uniforge, which was shared on Hacker News. When the post URLs are fetched without running scripts (the way most link-preview bots, AI assistants and many crawlers read pages), each one returns the homepage's title and text instead of the article. Made-up paths such as /privacy return the same homepage, and the sitemap lists only five URLs and no posts. So the company's thought leadership is effectively invisible outside a browser: a LinkedIn or Slack share of a post previews as the homepage, AI assistants asked about Leeroo can't quote it, and search engines see many URLs with one identical title.

    High impactLow effort First result in 2 weeks CTO

    First action

    Pre-render "Organizational Superintelligence" and check its URL with a link-preview debugger and a plain fetch.

    How to measure it

    Posts returning their own title and text without scripts

    Now
    –
    Target
    4 of 4, plus a 404 for unknown paths
    By
    2 weeks

    Steps

    1. 1

      Confirm the gap

      Fetch each post URL with scripts off and with a link-preview debugger; note title and text.

      CTO 1 hour

    2. 2

      Pre-render posts

      Generate static HTML per post at build time, with title, description, canonical, Open Graph and date.

      CTO 2 days

    3. 3

      Return real 404s

      Stop the catch-all fallback from serving the homepage for unknown paths; add a helpful 404 page.

      CTO half a day

    4. 4

      Update the sitemap

      Add all posts with lastmod dates and resubmit in Search Console.

      CTO 1 hour

    5. 5

      Add the bridge

      A closing audit call to action, plus a note on how older posts led to Uniforge.

      CEO half a day

    6. 6

      Re-share

      Share the essay again on LinkedIn and X now that the preview shows the article.

      CEO 1 hour

    7. 7

      Measure

      Indexed pages, impressions per post and audit requests from blog sessions.

      CTO monthly

    First result
    2 weeks
    Cost
    Two to three engineering days
    Owner
    CTO

    Smallest test

    Pre-render one post and compare its link preview and search impressions after two weeks.

    Why it works

    Pre-render each blog post to static HTML at build time and serve it from the existing S3 and CloudFront setup, with its own title, meta description, Open Graph image, canonical tag, publish date and author role. Add all four posts to the sitemap with lastmod dates. Make unknown paths return a real 404 page with links to the product, the blog and the audit, instead of the homepage. Then give each post a closing call to action for the free audit, and a short note on how the older posts (Orchestrator, multi-model systems) led to Uniforge, so readers arriving from old links reach today's product.

    For an enterprise sale, essays are what champions forward to colleagues. A share that previews as a generic homepage, or a link an assistant can't read, loses that forward. Pre-rendering is a small change on a static site, and it lets every post rank and be quoted on its own topic.

    Ready to use

    ChecklistBlog page launch checks

    [ ] Plain fetch of each post returns the article title and first paragraph
    [ ] Unique <title> and meta description per post
    [ ] Open Graph title, description and image per post
    [ ] Self-canonical tag
    [ ] Publish date and author role visible
    [ ] Post URLs in sitemap.xml with lastmod
    [ ] Unknown paths return 404, not the homepage
    [ ] Audit call to action at the end of each post

    Risks and how to handle them

    • Breaking existing client-side routes

      Pre-render only /blogs/* first and keep the app shell for everything else.

    • Old posts describe an earlier product

      Add a dated editor's note at the top rather than deleting them.

    Evidence

    • Your websiteBlog: /blogs lists four posts: "Organizational Superintelligence" (2025.11.10), "End2end Multi-Agent finetuning: Open Source Meets SOTA" (2024.12.19), "The First-Principle Multi-Model System" (2024.04.02) and "Leeroo Orchestrator V1: Towards an AI Operating System" (2024.01.24). Fetched twice on November 9, 2026 without running scripts, each post URL returned the homepage title "Leeroo | A Living Model of Your Business, Built by AI" and homepage text instead of the article; made-up paths such as /privacy return the same homepage.Source
    • Your websiteSitemap: five URLs (/, /product, /company, /contact-us, /blogs), none with a lastmod date and no blog post URLs.Source
    • Hacker News"Organizational Superintelligence" was submitted with the leeroo.com blog post URL and has 1 point.Source
  • 02

    The free audit is Leeroo's only call to action, and it promises duplicates, conflicts, missing links and "ML opportunities in your data, quantified by value" within 48 hours. But the page shows no sample, testimonial or customer name. Leeroo already has the material for one: the $1B enterprise with 35+ systems, 62% fewer cross-system conflicts and about $20M of trapped value.

    High impactLow effort First result in 3 weeks CEO

    First action

    Ask the $1B enterprise for written approval to publish an anonymised sample.

    How to measure it

    Audit-page conversion

    Now
    –
    Target
    +30%
    By
    60 days

    Steps

    1. 1

      Get approval

      Written consent and anonymisation rules from the customer.

      CEO 1 week

    2. 2

      Choose findings

      Top five findings by dollar value plus three ML opportunities.

      Chief Scientist 1 day

    3. 3

      Anonymise

      Rename systems, entities and amounts within agreed ranges.

      Founding Engineer 1 day

    4. 4

      Design the report

      Four to six pages in the same format real audits use.

      CEO 2 days

    5. 5

      Add to the audit page

      Preview above the form and an ungated PDF.

      CTO half a day

    6. 6

      Use in outreach

      Attach to every cold and warm introduction.

      CEO ongoing

    First result
    3 weeks
    Cost
    Staff time only
    Owner
    CEO

    Smallest test

    Send the sample with the next five outreach emails and compare reply rates.

    Why it works

    Build a 4-6 page sample audit report from the $1B enterprise engagement, anonymised and approved by the customer: the systems connected, the conflicts and duplicates found by system pair, the top five dollar-quantified findings, and the ranked ML opportunities. Put a preview of it above the form on /contact-us, and offer the full PDF as a download with no email gate.

    Enterprise champions have to explain a vendor to their security team and their boss before they ask for anything. A concrete sample makes the free audit a known quantity and sets expectations that the real audit then meets.

    Risks and how to handle them

    • The customer declines

      Build the sample from a synthetic dataset and label it as such.

    • Buyers expect the same dollar figures

      Show ranges and explain what drives them.

    Evidence

    • Your websiteFree audit page: "See what your data is really telling you."; "FREE AUDIT · 48 HOURS"; connects "2–3 of your systems" with "No setup on your side" and "Runs entirely in your cloud"; finds duplicates, conflicts and missing links plus "ML opportunities in your data, quantified by value"; the form asks for name, work email, company, company size, "Which systems should we look at?" and "Anything else?"; the team will "reply within one business day"; no sample report, testimonial or customer name.Source
    • Your websiteHomepage (checked November 9, 2026): H1 "A living model of your business. Built by AI. Run in your cloud."; Uniforge "connects to every system you operate" and ships agents; CTAs "Request a free audit", "Read the specification" and "Watch the demo"; proof from an unnamed "$1B enterprise" with 35+ systems: 9×10⁹ rows learned, a 62% cut in cross-system conflicts and about $20M of trapped value surfaced; runs in the customer's VPC on AWS, Azure or GCP, or fully on-prem and air-gapped; logos (Meta, Microsoft, Amazon, Hugging Face and others) shown as companies whose engineers use the team's open-source work; London, backed by Y Combinator.Source
  • 03

    The audit page promises both "No setup on your side" and "Runs entirely in your cloud". To a security or platform team those two promises conflict: something has to be deployed into their cloud and granted read access to two or three systems. The form only asks which systems to look at. The real friction in a free audit is usually the access review, not the form.

    High impactLow effort First result in 1 month CTO

    First action

    Write down exactly what was deployed and which permissions were granted in the last three audits.

    How to measure it

    Request-to-access time

    Now
    –
    Target
    Under 5 business days
    By
    90 days

    Steps

    1. 1

      Document reality

      Deployment footprint and permissions from recent audits.

      Founding Engineer 1 day

    2. 2

      Write per-system scopes

      Read-only role recipes for the six systems on the product page.

      CTO 2 days

    3. 3

      Answer the questionnaire

      Thirty common security questions, answered once.

      CTO 2 days

    4. 4

      Publish the guide

      Linked from the form and the product page.

      CTO half a day

    5. 5

      Add the checkbox

      "Send this to my security team" on the form.

      CTO 1 hour

    6. 6

      Track access time

      Days from request to first connected system.

      CEO ongoing

    First result
    1 month
    Cost
    Staff time only
    Owner
    CTO

    Smallest test

    Send the guide to the next three audit requesters and time the access step.

    Why it works

    Publish a one-page "What the audit needs from you" guide, linked from the form. It covers what gets deployed (and where), the read-only roles or service accounts per system for Salesforce, Oracle, ServiceNow, Zendesk, Workday and warehouses, network egress (none), data retention and deletion after 48 hours, who at Leeroo can see what, and a pre-filled answer sheet for common security questionnaire questions. Add a checkbox on the form: "Send this guide to my security team".

    Removing the unknowns early shortens the gap between request and access, which is where free enterprise pilots usually stall. It also turns the security team into a reviewer of a known document, not a blocker of an unknown vendor.

    Risks and how to handle them

    • Publishing too much architecture detail

      Describe scopes and data flow, not internal endpoints or keys.

    Evidence

    • Your websiteFree audit page: "See what your data is really telling you."; "FREE AUDIT · 48 HOURS"; connects "2–3 of your systems" with "No setup on your side" and "Runs entirely in your cloud"; finds duplicates, conflicts and missing links plus "ML opportunities in your data, quantified by value"; the form asks for name, work email, company, company size, "Which systems should we look at?" and "Anything else?"; the team will "reply within one business day"; no sample report, testimonial or customer name.Source
    • Your websiteProduct page: "Learns your business. Acts on it."; six learning agents (Entity Resolution, Lineage Mapping, Process Mining, Event Learning, Skill Learning, LoRA Training) and six action agents (Billing-integrity, Data-quality, Churn sentinel, Cross-sell, Contract-leakage, Fraud sentinel); integration logos Oracle, ServiceNow, SAP, Salesforce, Workday and "G Cloud", while the diagram shows Salesforce, Oracle Billing, ServiceNow, Zendesk, Workday and a warehouse ("6 SYSTEMS · 113 TABLES · READ-ONLY"); worked examples such as "National Riverbend Services" and "EST. $5.0M/YR" not labelled as illustrative; "Days, not quarters"; "Approvals where you want them. Full audit log."; no pricing, named case study or security page.Source
  • 04

    Uniforge asks enterprises to connect their CRM, ERP and billing systems, yet the site links no privacy or cookie policy and has no trust centre or security page. Typing /privacy returns the homepage. The product page has strong raw material (data boundary, read-only connections, approvals and a full audit log) that never gets its own page.

    High impactMedium effort First result in 1 month CTO

    First action

    Draft the privacy policy and link it from the audit form.

    How to measure it

    Request-to-access rate

    Now
    –
    Target
    +20%
    By
    90 days

    Steps

    1. 1

      Draft privacy policy

      Covering form data, analytics and audit data.

      CEO 2 days

    2. 2

      Legal review

      Outside counsel checks the policy.

      CEO 1 week

    3. 3

      Write /security

      Deployment, boundary, access, logging and sub-processors.

      CTO 3 days

    4. 4

      State certifications honestly

      What exists, what is planned, and when.

      CTO 1 day

    5. 5

      Link everywhere

      Footer, audit form, product page and docs.

      CTO 1 hour

    6. 6

      Keep current

      Review each quarter.

      CTO quarterly

    First result
    1 month
    Cost
    Legal review fee plus staff time
    Owner
    CTO

    Smallest test

    Publish the privacy policy this week and link it from the form.

    Why it works

    Create /security covering the deployment modes (VPC on AWS, Azure or GCP, or on-prem and air-gapped), the data boundary, read-only connectors, approvals and audit log, model hosting in sovereign mode, sub-processors, incident contact and the current state of any certifications (with honest timelines if they are in progress). Publish a privacy policy and link both pages from the footer and the audit form.

    Procurement and security teams check these pages before they reply to a vendor. Publishing them signals maturity beyond a team of three and removes a common reason for silence after an audit request.

    Risks and how to handle them

    • Claims that outrun reality

      Only state controls that exist today; mark the rest as planned.

    Evidence

    • Your websiteSite scan (homepage and /contact-us): Google Analytics, PostHog and Google Tag Manager installed; no live chat; no online booking; no pricing page; no privacy or cookie policy linked; no trust center.Source
    • Your websiteBlog: /blogs lists four posts: "Organizational Superintelligence" (2025.11.10), "End2end Multi-Agent finetuning: Open Source Meets SOTA" (2024.12.19), "The First-Principle Multi-Model System" (2024.04.02) and "Leeroo Orchestrator V1: Towards an AI Operating System" (2024.01.24). Fetched twice on November 9, 2026 without running scripts, each post URL returned the homepage title "Leeroo | A Living Model of Your Business, Built by AI" and homepage text instead of the article; made-up paths such as /privacy return the same homepage.Source
    • Your websiteProduct page: "Learns your business. Acts on it."; six learning agents (Entity Resolution, Lineage Mapping, Process Mining, Event Learning, Skill Learning, LoRA Training) and six action agents (Billing-integrity, Data-quality, Churn sentinel, Cross-sell, Contract-leakage, Fraud sentinel); integration logos Oracle, ServiceNow, SAP, Salesforce, Workday and "G Cloud", while the diagram shows Salesforce, Oracle Billing, ServiceNow, Zendesk, Workday and a warehouse ("6 SYSTEMS · 113 TABLES · READ-ONLY"); worked examples such as "National Riverbend Services" and "EST. $5.0M/YR" not labelled as illustrative; "Days, not quarters"; "Approvals where you want them. Full audit log."; no pricing, named case study or security page.Source
  • 05

    After the audit form, the page says only that the team will "reply within one business day", and the site has no booking tool. For an offer whose selling point is speed (48 hours), the first step is the slowest one, and enterprise calendars fill quickly.

    Medium impactLow effort First result in 2 weeks CEO

    First action

    Set up a booking page with two weekly blocks of scoping slots.

    How to measure it

    Same-day booked scoping calls

    Now
    –
    Target
    60% of requests
    By
    60 days

    Steps

    1. 1

      Create slots

      Two scoping blocks a week across UK and US hours.

      CEO 1 hour

    2. 2

      Embed after submit

      Calendar on the thank-you state with fields pre-filled.

      CTO half a day

    3. 3

      Write the confirmation

      Agenda, sample report and access guide.

      CEO 1 hour

    4. 4

      Route ownership

      Founding Engineer joins technical calls.

      CEO 1 hour

    5. 5

      Fallback email

      Same-day reply for non-bookers.

      CEO ongoing

    6. 6

      Measure

      Booking rate and time to audit start.

      CTO monthly

    First result
    2 weeks
    Cost
    A scheduling tool subscription
    Owner
    CEO

    Smallest test

    Add a booking link to the thank-you message for two weeks.

    Why it works

    On form submit, show a calendar with 30-minute scoping slots with the founders or the Founding Engineer, pre-filled with the systems the requester named. Send a confirmation with the sample report (idea 2) and the access guide (idea 3). Anyone who doesn't book gets the usual email reply.

    Booking at peak intent removes a round of email tag, and the 48-hour promise starts from a fixed date the buyer chose.

    Risks and how to handle them

    • Unqualified bookings fill the calendar

      Show slots only for company sizes in the target range.

    Builds on

    Evidence

    • Your websiteFree audit page: "See what your data is really telling you."; "FREE AUDIT · 48 HOURS"; connects "2–3 of your systems" with "No setup on your side" and "Runs entirely in your cloud"; finds duplicates, conflicts and missing links plus "ML opportunities in your data, quantified by value"; the form asks for name, work email, company, company size, "Which systems should we look at?" and "Anything else?"; the team will "reply within one business day"; no sample report, testimonial or customer name.Source
    • Your websiteSite scan (homepage and /contact-us): Google Analytics, PostHog and Google Tag Manager installed; no live chat; no online booking; no pricing page; no privacy or cookie policy linked; no trust center.Source
  • 06

    The product page shows specific-looking figures, such as an entity called "National Riverbend Services" and an ML opportunity at "EST. $5.0M/YR", with no label saying whether they are real. The homepage's main proof is "a $1B enterprise" with no industry, region or timeline. Enterprise buyers discount numbers they can't place, and a sceptical reader may assume the worst.

    Medium impactLow effort First result in 2 weeks CEO

    First action

    Agree the descriptor wording with the $1B customer.

    How to measure it

    Product-page to audit-request rate

    Now
    –
    Target
    +10%
    By
    60 days

    Steps

    1. 1

      List every figure

      Each number on the homepage and product page, marked real or illustrative.

      CEO 1 hour

    2. 2

      Add labels

      "Illustrative example" on demo data.

      CTO 1 hour

    3. 3

      Write the descriptor

      Industry, region, history, systems and timeline.

      CEO 1 hour

    4. 4

      Customer sign-off

      Email approval of the wording.

      CEO 3 days

    5. 5

      Check the logo caption

      Caption sits right next to the logos.

      CTO 30 minutes

    6. 6

      Publish

      Ship and note the date.

      CTO 30 minutes

    First result
    2 weeks
    Cost
    $0
    Owner
    CEO

    Smallest test

    Add the illustrative labels today.

    Why it works

    Add an "Illustrative example" tag to the demo figures. Give the $1B enterprise a short descriptor (industry, region, years of history, systems involved) and the time it took to reach the 62% and $20M results. Keep the open-source logo wall, but put its accurate caption (engineers at these companies use our open-source work) right next to it.

    Clear labels make the real numbers more believable, and an industry descriptor lets buyers in that sector see themselves in the result.

    Risks and how to handle them

    • The customer won't allow an industry descriptor

      Use a broader sector and region.

    Evidence

    • Your websiteProduct page: "Learns your business. Acts on it."; six learning agents (Entity Resolution, Lineage Mapping, Process Mining, Event Learning, Skill Learning, LoRA Training) and six action agents (Billing-integrity, Data-quality, Churn sentinel, Cross-sell, Contract-leakage, Fraud sentinel); integration logos Oracle, ServiceNow, SAP, Salesforce, Workday and "G Cloud", while the diagram shows Salesforce, Oracle Billing, ServiceNow, Zendesk, Workday and a warehouse ("6 SYSTEMS · 113 TABLES · READ-ONLY"); worked examples such as "National Riverbend Services" and "EST. $5.0M/YR" not labelled as illustrative; "Days, not quarters"; "Approvals where you want them. Full audit log."; no pricing, named case study or security page.Source
    • Your websiteHomepage (checked November 9, 2026): H1 "A living model of your business. Built by AI. Run in your cloud."; Uniforge "connects to every system you operate" and ships agents; CTAs "Request a free audit", "Read the specification" and "Watch the demo"; proof from an unnamed "$1B enterprise" with 35+ systems: 9×10⁹ rows learned, a 62% cut in cross-system conflicts and about $20M of trapped value surfaced; runs in the customer's VPC on AWS, Azure or GCP, or fully on-prem and air-gapped; logos (Meta, Microsoft, Amazon, Hugging Face and others) shown as companies whose engineers use the team's open-source work; London, backed by Y Combinator.Source
  • 07

    The website sells Uniforge, a living model of the whole business. The YC profile and launch post still describe "trainable AI agents" for "data and AI teams", and neither open job post mentions Uniforge or Kapso. The Founding Engineer will sit in pre-sales calls and connect agents to customer systems, so candidates should know what they'd be selling.

    Medium impactLow effort First result in 2 weeks CEO

    First action

    Rewrite the YC one-liner and long description.

    How to measure it

    Founding Engineer applicants who reference Uniforge

    Now
    –
    Target
    Half of shortlisted applicants
    By
    60 days

    Steps

    1. 1

      Rewrite the profile

      One-liner and description around Uniforge.

      CEO 1 hour

    2. 2

      Update the engineer post

      Uniforge, audit, systems and agents.

      CTO 1 hour

    3. 3

      Update the intern post

      Link the Learning Engine to Uniforge's learning agents.

      Chief Scientist 1 hour

    4. 4

      List roles on /company

      Titles and links in the careers section.

      CTO 1 hour

    5. 5

      Refresh the launch post

      A new launch post for Uniforge and the audit.

      CEO 1 day

    6. 6

      Check other profiles

      LinkedIn, X and Hugging Face descriptions.

      CEO 1 hour

    First result
    2 weeks
    Cost
    $0
    Owner
    CEO

    Smallest test

    Update the YC one-liner today.

    Why it works

    Rewrite the YC profile description around Uniforge, the free audit and the $1B enterprise result. Update the Founding Engineer post to name Uniforge, the six source systems, the audit and the action agents, and the intern post to tie the Learning Engine research to Uniforge's learning agents. Add the roles to the careers section on /company, which currently lists none.

    YC's directory and job board are where investors, candidates and some buyers first meet a YC company. One consistent story makes every introduction cheaper.

    Risks and how to handle them

    • Older pilots know the earlier pitch

      Explain in the launch post how trainable agents became Uniforge.

    Evidence

    • Y CombinatorYC profile: Spring 2025 batch, team size 3, London; describes Leeroo as building trainable AI agents for data and AI teams that run on-prem or in a customer's VPC, with target pilot partners in banking, finance and healthcare.Source
    • HiringFounding Engineer (London or remote, $10K–$15K a month, listed on Y Combinator): "Be a customer-first problem solver", working with customers from discovery through delivery and turning requests into scoped plans with clear ROI; joins pre-sales and discovery calls; connects Leeroo's agents to customer systems and feeds reusable patterns back to research and product; nice to have: privacy, security and model governance such as EU AI Act readiness. The post does not mention Uniforge or Kapso.Source
    • Your websiteCompany page: Leeroo builds Uniforge, "the platform that learns your business and acts on it"; a careers section, "Help us build AI that builds AI", with no listed roles and applications by email; open-source projects Kapso, SuperML, Leeroopedia and Leeroopedia MCP; "1.5M+ Hugging Face downloads" across the team's open-source models.Source
  • 08

    Leeroopedia has 27,667 pages of ML and data-engineering knowledge, read by the practitioners who work inside target enterprises. Its footer says "Powered by Leeroo — building Organizational Superintelligence" and links to SuperML, the MCP and Kapso, but never mentions Uniforge or the free audit. Its entity-resolution, data-quality and data-pipeline pages describe exactly the problems Uniforge's agents solve.

    Medium impactLow effort First result in 1 month Chief Scientist

    First action

    Edit the footer and add a tagged audit link.

    How to measure it

    Leeroopedia-sourced audit requests

    Now
    –
    Target
    5 a month
    By
    90 days

    Steps

    1. 1

      Edit the footer

      Name Uniforge and link the audit.

      Chief Scientist 1 hour

    2. 2

      Pick page clusters

      Entity resolution, data quality, lineage and tabular ML.

      Chief Scientist 1 day

    3. 3

      Add contextual boxes

      One short message per cluster.

      Research Scientist Intern 2 days

    4. 4

      Tag links

      Source parameters for each cluster.

      CTO 1 hour

    5. 5

      Ask on the form

      Optional "How did you hear about us?"

      CTO 1 hour

    6. 6

      Review monthly

      Clicks and requests by cluster.

      Chief Scientist monthly

    First result
    1 month
    Cost
    $0
    Owner
    Chief Scientist

    Smallest test

    Add the box to the entity-resolution pages only for a month.

    Why it works

    Change the footer to "Powered by Leeroo, makers of Uniforge" with a link to the audit. On pages about entity resolution, deduplication, data quality, lineage and tabular ML, add a small contextual box: "See how many duplicates and conflicts your own systems hold: free 48-hour audit, in your cloud." Tag the links so audit requests from Leeroopedia can be counted.

    Practitioners who read the wiki are the people who feel cross-system data pain every day and can bring Uniforge to their team. A relevant, quiet box converts better than a generic banner.

    Risks and how to handle them

    • The community sees it as an ad

      Keep boxes small, relevant and only on matching pages.

    Evidence

    • Open sourceLeeroopedia: 27,667 pages of ML and data engineering knowledge (1,118 workflows, 7,697 principles, 16,832 implementations, 1,245 heuristics, 909 environments); footer "Powered by Leeroo — building Organizational Superintelligence"; links to SuperML, the Leeroopedia MCP and Kapso; no mention of Uniforge or the free audit.Source
    • Your websiteHomepage (checked November 9, 2026): H1 "A living model of your business. Built by AI. Run in your cloud."; Uniforge "connects to every system you operate" and ships agents; CTAs "Request a free audit", "Read the specification" and "Watch the demo"; proof from an unnamed "$1B enterprise" with 35+ systems: 9×10⁹ rows learned, a 62% cut in cross-system conflicts and about $20M of trapped value surfaced; runs in the customer's VPC on AWS, Azure or GCP, or fully on-prem and air-gapped; logos (Meta, Microsoft, Amazon, Hugging Face and others) shown as companies whose engineers use the team's open-source work; London, backed by Y Combinator.Source

This quarter 10

The core plays for the next three months.

  • 09

    Kapso's README offers "Kapso for Enterprise" through a "talk to us" link to leeroo.com, but the site has only five pages and none of them mentions Kapso for Enterprise. A developer who has just seen Kapso top RelBench and wants it at work lands on a pitch for a different product with no bridge.

    High impactMedium effort First result in 1 month CTO

    First action

    Write the page outline and change the README link.

    How to measure it

    Kapso-sourced enterprise leads

    Now
    –
    Target
    4 a month
    By
    90 days

    Steps

    1. 1

      Define the offer

      What enterprise adds over open source.

      CTO 2 days

    2. 2

      Write the page

      Offer, benchmarks, link to Uniforge and two calls to action.

      CTO 3 days

    3. 3

      Server-render it

      Same approach as the blog fix.

      CTO 1 day

    4. 4

      Repoint links

      README, docs and Discord.

      CTO 1 hour

    5. 5

      Tag the source

      Kapso leads labelled in the form.

      CTO 1 hour

    6. 6

      Follow up

      Founding Engineer calls each lead.

      Founding Engineer ongoing

    First result
    1 month
    Cost
    Staff time only
    Owner
    CTO

    Smallest test

    Point the README link at a short section on the product page and count clicks.

    Why it works

    Create /kapso-enterprise: what the enterprise edition adds (private lesson banks, deployment in the customer's cloud, support), how Kapso powers Uniforge's ML generation agent, the benchmark results, and two paths: "Talk about Kapso at work" and "Run a free audit on your data". Point the README and docs links there.

    It turns open-source interest into a named enterprise conversation instead of a dead end, and shows engineers how the tool they like maps to the platform their company would buy.

    Risks and how to handle them

    • Splits focus between two products

      Position Kapso as the engine inside Uniforge, not a separate line.

    Builds on

    Evidence

    • Open sourceKapso on GitHub: MIT licence, 139 stars, 23 forks; the README reports RelBench classification at 81.2 AUROC against 79.3 for KumoRFM-v2 and recommendation at 18.4 MAP against 9.3, plus an IOAI 2026 score of 536.07 and the Grand Master Trophy; it offers "Kapso for Enterprise" through a "talk to us" link to leeroo.com; Uniforge is not mentioned.Source
    • Your websiteSitemap: five URLs (/, /product, /company, /contact-us, /blogs), none with a lastmod date and no blog post URLs.Source
  • 10

    Kapso's README reports leading all three RelBench leaderboards, ahead of KumoRFM-v2 (81.2 against 79.3 AUROC on classification, 18.4 against 9.3 MAP on recommendation). Meanwhile kumo.ai now redirects to an NVIDIA documentation page for "Kumo Relational". Teams that were evaluating relational foundation models are looking for a reference, and Leeroo's best evidence sits inside a README and a docs page.

    Medium impactMedium effort First result in 2 months Chief Scientist

    First action

    Move the RelBench section from the docs into a page outline for leeroo.com.

    How to measure it

    Benchmark-page audit requests

    Now
    –
    Target
    3 a month
    By
    2 quarters

    Steps

    1. 1

      Assemble results

      Scores, baselines, dates and versions.

      Chief Scientist 2 days

    2. 2

      Write the method

      Reproduction steps and caveats.

      Research Scientist Intern 1 week

    3. 3

      Explain the business use

      Churn, cross-sell and fraud examples.

      CEO 2 days

    4. 4

      Publish

      Server-rendered page in the sitemap.

      CTO 1 day

    5. 5

      Share

      With RelBench and tabular-ML communities.

      Chief Scientist 1 day

    6. 6

      Refresh

      When leaderboards change.

      Chief Scientist quarterly

    First result
    2 months
    Cost
    Staff time only
    Owner
    Chief Scientist

    Smallest test

    Publish the RelBench table with one paragraph and watch search impressions.

    Why it works

    Publish a server-rendered /benchmarks/relbench page on leeroo.com: the tasks, the scores against named baselines, the method, and how to reproduce them, with a plain-English section on what relational prediction means for churn, cross-sell and fraud (Uniforge's action agents). End with "Run this on your own tables" leading to the audit.

    Benchmark pages attract technical evaluators searching by name, and a reproducible method earns trust. Tying the scores to churn and fraud turns a research result into a business case.

    Risks and how to handle them

    • Comparisons with a named rival get disputed

      Cite the public leaderboard and versions, and date the page.

    Builds on

    Evidence

    • Open sourceKapso on GitHub: MIT licence, 139 stars, 23 forks; the README reports RelBench classification at 81.2 AUROC against 79.3 for KumoRFM-v2 and recommendation at 18.4 MAP against 9.3, plus an IOAI 2026 score of 536.07 and the Grand Master Trophy; it offers "Kapso for Enterprise" through a "talk to us" link to leeroo.com; Uniforge is not mentioned.Source
    • Competitor researchkumo.ai now redirects (301) to an NVIDIA documentation page for Kumo Relational, "the relational foundation model for predictive AI on relational data".Source
    • Open sourceDocs (docs.leeroo.com): covers Kapso only: installation, first build, harnesses, deploy targets, CLI reference and benchmark pages for IOAI 2026, RelBench, MLE-Bench and ALE-Bench; no Uniforge documentation.Source
  • 11

    docs.leeroo.com covers Kapso's install, builds, harnesses and benchmarks, with no Uniforge documentation. The homepage asks buyers to "Read the specification", which leads to a marketing page. Enterprise architects evaluating a platform that connects to Salesforce, Oracle and ServiceNow want reference material: connectors, deployment, data model and agent behaviour.

    High impactMedium effort First result in 1 month CTO

    First action

    Publish the architecture overview and the connector list.

    How to measure it

    Audit requests preceded by a docs visit

    Now
    –
    Target
    30% of requests
    By
    2 quarters

    Steps

    1. 1

      Outline

      Architecture, deployment, connectors, model, agents and logs.

      CTO 1 day

    2. 2

      Write deployment

      Mode A and Mode B with diagrams.

      CTO 3 days

    3. 3

      Write connectors

      One page per system with scopes.

      Founding Engineer 1 week

    4. 4

      Write agents

      Inputs, outputs and approvals for each.

      Chief Scientist 1 week

    5. 5

      Link it

      From "Read the specification" and the product page.

      CTO 1 hour

    6. 6

      Measure

      Docs-to-audit path in analytics.

      CTO monthly

    First result
    1 month
    Cost
    Staff time only
    Owner
    CTO

    Smallest test

    Publish the architecture page and link it from the specification button.

    Why it works

    Add a Uniforge section to the existing Mintlify docs: architecture overview, deployment Modes A (VPC) and B (sovereign), the connector reference per system with required scopes, the living-model objects (entity graph, lineage graph, event memory), each action agent's inputs, outputs and approval settings, and the audit log format. Link it from "Read the specification".

    Architects often decide on a shortlist from documentation before talking to sales. Clear docs also make the Founding Engineer's discovery calls shorter.

    Risks and how to handle them

    • Docs lag the product

      Version pages and update with each release.

    Evidence

    • Open sourceDocs (docs.leeroo.com): covers Kapso only: installation, first build, harnesses, deploy targets, CLI reference and benchmark pages for IOAI 2026, RelBench, MLE-Bench and ALE-Bench; no Uniforge documentation.Source
    • Your websiteHomepage (checked November 9, 2026): H1 "A living model of your business. Built by AI. Run in your cloud."; Uniforge "connects to every system you operate" and ships agents; CTAs "Request a free audit", "Read the specification" and "Watch the demo"; proof from an unnamed "$1B enterprise" with 35+ systems: 9×10⁹ rows learned, a 62% cut in cross-system conflicts and about $20M of trapped value surfaced; runs in the customer's VPC on AWS, Azure or GCP, or fully on-prem and air-gapped; logos (Meta, Microsoft, Amazon, Hugging Face and others) shown as companies whose engineers use the team's open-source work; London, backed by Y Combinator.Source
    • Your websiteProduct page: "Learns your business. Acts on it."; six learning agents (Entity Resolution, Lineage Mapping, Process Mining, Event Learning, Skill Learning, LoRA Training) and six action agents (Billing-integrity, Data-quality, Churn sentinel, Cross-sell, Contract-leakage, Fraud sentinel); integration logos Oracle, ServiceNow, SAP, Salesforce, Workday and "G Cloud", while the diagram shows Salesforce, Oracle Billing, ServiceNow, Zendesk, Workday and a warehouse ("6 SYSTEMS · 113 TABLES · READ-ONLY"); worked examples such as "National Riverbend Services" and "EST. $5.0M/YR" not labelled as illustrative; "Days, not quarters"; "Approvals where you want them. Full audit log."; no pricing, named case study or security page.Source
  • 12

    The product page shows two different integration lists: logos for Oracle, ServiceNow, SAP, Salesforce, Workday and "G Cloud", and a diagram with Salesforce, Oracle Billing, ServiceNow, Zendesk, Workday and a warehouse. Buyers search by the systems they own and the pairs that disagree (CRM against billing), and there is no page for any of them.

    Medium impactMedium effort First result in 2 months Founding Engineer

    First action

    Reconcile the two lists into one source of truth.

    How to measure it

    Pair-page audit requests

    Now
    –
    Target
    5 a month
    By
    2 quarters

    Steps

    1. 1

      Reconcile lists

      One list: supported, beta, on request.

      CTO 1 day

    2. 2

      Pick five pairs

      From audits run so far.

      Founding Engineer 1 day

    3. 3

      Write pair pages

      Conflicts, findings, value and call to action.

      Founding Engineer 2 weeks

    4. 4

      Pre-fill the form

      Pair pages pass the systems to the audit form.

      CTO half a day

    5. 5

      Publish and index

      Server-rendered and in the sitemap.

      CTO 1 day

    6. 6

      Expand

      Add pairs that convert.

      Founding Engineer quarterly

    First result
    2 months
    Cost
    Staff time only
    Owner
    Founding Engineer

    Smallest test

    Publish the Salesforce and Oracle Billing page first.

    Why it works

    Publish one canonical /integrations list stating which systems are supported today, read-only, and which are on request. Then write five pages on the most valuable system pairs (Salesforce and Oracle Billing, Salesforce and SAP, ServiceNow and Workday, Zendesk and CRM, warehouse and CRM): the typical conflicts, what the agents find, the dollar impact, and a call to action to audit that exact pair.

    Pair-specific pages match how operations and finance teams describe their pain ("our CRM and billing don't agree") and qualify audits by naming the 2-3 systems the form asks for.

    Risks and how to handle them

    • Trademark use of vendor logos

      Follow each vendor's naming and logo rules.

    Builds on

    Evidence

    • Your websiteProduct page: "Learns your business. Acts on it."; six learning agents (Entity Resolution, Lineage Mapping, Process Mining, Event Learning, Skill Learning, LoRA Training) and six action agents (Billing-integrity, Data-quality, Churn sentinel, Cross-sell, Contract-leakage, Fraud sentinel); integration logos Oracle, ServiceNow, SAP, Salesforce, Workday and "G Cloud", while the diagram shows Salesforce, Oracle Billing, ServiceNow, Zendesk, Workday and a warehouse ("6 SYSTEMS · 113 TABLES · READ-ONLY"); worked examples such as "National Riverbend Services" and "EST. $5.0M/YR" not labelled as illustrative; "Days, not quarters"; "Approvals where you want them. Full audit log."; no pricing, named case study or security page.Source
    • Your websiteFree audit page: "See what your data is really telling you."; "FREE AUDIT · 48 HOURS"; connects "2–3 of your systems" with "No setup on your side" and "Runs entirely in your cloud"; finds duplicates, conflicts and missing links plus "ML opportunities in your data, quantified by value"; the form asks for name, work email, company, company size, "Which systems should we look at?" and "Anything else?"; the team will "reply within one business day"; no sample report, testimonial or customer name.Source
  • 13

    The site offers a free audit and then nothing with a shape or a price: there is no pricing page and the product page lists no plans. The Founding Engineer post asks for "scoped plans with clear ROI". Without a defined next step, a strong audit result can stall in budgeting.

    High impactMedium effort First result in 1 quarter CEO

    First action

    Write the pilot one-pager with scope, price range and success criteria.

    How to measure it

    Audits converting to paid pilots

    Now
    –
    Target
    1 in 4
    By
    2 quarters

    Steps

    1. 1

      Define scope

      One agent, one pair, 30 days.

      CEO 2 days

    2. 2

      Set the price

      Starting price and credit towards an annual licence.

      CEO 2 days

    3. 3

      Template success criteria

      Built from audit findings.

      Founding Engineer 2 days

    4. 4

      Write the contract

      Short pilot agreement.

      CEO 1 week

    5. 5

      Publish /pilot

      Linked from audit reports.

      CTO 1 day

    6. 6

      Run reviews

      Weekly value reviews with the buyer.

      Founding Engineer weekly

    First result
    1 quarter
    Cost
    Legal time for a pilot agreement
    Owner
    CEO

    Smallest test

    Offer the pilot to the next two audit customers.

    Why it works

    Package a 30-day paid pilot with a published starting price: one action agent (Billing-integrity or Contract-leakage first, because they recover cash) on the system pair from the audit, a target agreed from the audit's dollar findings, weekly reviews, and a credit towards an annual licence if the target is met. Describe it on a /pilot page and in every audit report.

    A small, priced, outcome-tied step fits within budgets a director can approve. Starting with cash-recovery agents makes the pilot pay for itself in the buyer's eyes.

    Risks and how to handle them

    • Price anchors the annual deal too low

      Show the pilot as a fraction of the annual scope.

    Builds on

    Evidence

    • Your websiteSite scan (homepage and /contact-us): Google Analytics, PostHog and Google Tag Manager installed; no live chat; no online booking; no pricing page; no privacy or cookie policy linked; no trust center.Source
    • HiringFounding Engineer (London or remote, $10K–$15K a month, listed on Y Combinator): "Be a customer-first problem solver", working with customers from discovery through delivery and turning requests into scoped plans with clear ROI; joins pre-sales and discovery calls; connects Leeroo's agents to customer systems and feeds reusable patterns back to research and product; nice to have: privacy, security and model governance such as EU AI Act readiness. The post does not mention Uniforge or Kapso.Source
    • Your websiteProduct page: "Learns your business. Acts on it."; six learning agents (Entity Resolution, Lineage Mapping, Process Mining, Event Learning, Skill Learning, LoRA Training) and six action agents (Billing-integrity, Data-quality, Churn sentinel, Cross-sell, Contract-leakage, Fraud sentinel); integration logos Oracle, ServiceNow, SAP, Salesforce, Workday and "G Cloud", while the diagram shows Salesforce, Oracle Billing, ServiceNow, Zendesk, Workday and a warehouse ("6 SYSTEMS · 113 TABLES · READ-ONLY"); worked examples such as "National Riverbend Services" and "EST. $5.0M/YR" not labelled as illustrative; "Days, not quarters"; "Approvals where you want them. Full audit log."; no pricing, named case study or security page.Source
  • 14

    Leeroo's YC launch asked for pilot partners in banking, finance and healthcare that need data sovereignty, and the homepage offers a fully on-prem, air-gapped Mode B with local models. Yet the five-page site has no page for any sector, so a bank's data leader has to translate a generic pitch into their own systems and constraints.

    High impactMedium effort First result in 2 months CEO

    First action

    Pick the first sector from current pipeline and draft its page.

    How to measure it

    Regulated-sector audit requests

    Now
    –
    Target
    6 a quarter
    By
    2 quarters

    Steps

    1. 1

      Pick the first sector

      Based on pipeline and the $1B customer's industry.

      CEO 1 day

    2. 2

      Map their systems

      Typical stack and common conflicts.

      Founding Engineer 3 days

    3. 3

      Write the page

      Sovereignty, agents and audit call to action.

      CEO 1 week

    4. 4

      Sector sample

      A sector version of the sample audit.

      Chief Scientist 1 week

    5. 5

      Outreach list

      Data and operations leaders in the sector.

      CEO 1 week

    6. 6

      Repeat

      Second and third sectors.

      CEO 1 month

    First result
    2 months
    Cost
    Staff time only
    Owner
    CEO

    Smallest test

    Publish the banking page and send it to twenty data leaders.

    Why it works

    Write three sector pages. Banking: reconciling customer records across core banking, CRM and billing, plus the fraud sentinel. Financial services: contract leakage and billing integrity. Healthcare organisations: record unification across operational systems. Each page leads with sovereign Mode B and the audit log, names the usual systems in that sector, and links to a sector version of the sample audit. Use them in targeted outreach to data and operations leaders.

    Regulated buyers look for proof that a vendor understands their constraints, and sovereignty is Leeroo's sharpest point against cloud-first rivals.

    Risks and how to handle them

    • Regulatory claims without review

      Describe controls, not compliance, unless counsel confirms it.

    Builds on

    Evidence

    • Y CombinatorLaunch post "Leeroo (Trainable AI Agents)": "trainable AI agents that learn much like human colleagues"; asks for pilot partners in banking, finance and healthcare that need data sovereignty, and for introductions to innovation leaders working on data and AI problems.Source
    • Your websiteHomepage (checked November 9, 2026): H1 "A living model of your business. Built by AI. Run in your cloud."; Uniforge "connects to every system you operate" and ships agents; CTAs "Request a free audit", "Read the specification" and "Watch the demo"; proof from an unnamed "$1B enterprise" with 35+ systems: 9×10⁹ rows learned, a 62% cut in cross-system conflicts and about $20M of trapped value surfaced; runs in the customer's VPC on AWS, Azure or GCP, or fully on-prem and air-gapped; logos (Meta, Microsoft, Amazon, Hugging Face and others) shown as companies whose engineers use the team's open-source work; London, backed by Y Combinator.Source
    • Your websiteSitemap: five URLs (/, /product, /company, /contact-us, /blogs), none with a lastmod date and no blog post URLs.Source
  • 15

    Leeroo's strongest proof is a single line on the homepage: a $1B enterprise, 35+ systems, 9×10⁹ rows, 62% fewer cross-system conflicts and about $20M of trapped value. The site has no case study page. Competitors such as Tamr lead with customer stories by use case.

    High impactMedium effort First result in 2 months CEO

    First action

    Book an interview with the customer's project lead.

    How to measure it

    Audit requests whose session included the case study

    Now
    –
    Target
    40%
    By
    2 quarters

    Steps

    1. 1

      Interview

      Customer project lead and one business owner.

      CEO 1 week

    2. 2

      Pull the numbers

      Timeline, findings and recovered value.

      Founding Engineer 2 days

    3. 3

      Write

      Story, numbers and quote.

      CEO 3 days

    4. 4

      Approve

      Customer sign-off on wording.

      CEO 1 week

    5. 5

      Publish

      Server-rendered page and PDF.

      CTO 1 day

    6. 6

      Distribute

      Homepage proof section and outreach.

      CEO ongoing

    First result
    2 months
    Cost
    Staff time only
    Owner
    CEO

    Smallest test

    Publish a 300-word anonymised version first.

    Why it works

    Write an anonymised (or named, if the customer agrees) case study page: the starting situation, the systems connected, the time to a working model, what the learning agents found, which action agents ran, how approvals were set, and how much of the $20M has been recovered so far. Include one quote from an operations or finance leader. Produce a one-page PDF version for outreach.

    A detailed story answers the questions a one-line claim raises (how long, how much effort, how much recovered) and gives champions something to forward internally.

    Risks and how to handle them

    • Customer approval takes months

      Start anonymised and upgrade to named later.

    Evidence

    • Your websiteHomepage (checked November 9, 2026): H1 "A living model of your business. Built by AI. Run in your cloud."; Uniforge "connects to every system you operate" and ships agents; CTAs "Request a free audit", "Read the specification" and "Watch the demo"; proof from an unnamed "$1B enterprise" with 35+ systems: 9×10⁹ rows learned, a 62% cut in cross-system conflicts and about $20M of trapped value surfaced; runs in the customer's VPC on AWS, Azure or GCP, or fully on-prem and air-gapped; logos (Meta, Microsoft, Amazon, Hugging Face and others) shown as companies whose engineers use the team's open-source work; London, backed by Y Combinator.Source
    • Competitor researchTamr: "The Agentic Solution for Trusted AI-Ready Data", an AI-native master data management platform with entity resolution, an enterprise knowledge graph and MCP connectivity; "Request Demo" and customer stories.Source
  • 16

    Leeroo's open-source reach is real: Kapso (139 stars), SuperML (197 stars), a 27,667-page wiki with accounts and API keys, and engineers at large companies using the team's work, per the homepage. None of these touchpoints asks whether the user is at a company with the cross-system problems Uniforge solves.

    Medium impactMedium effort First result in 2 months Founding Engineer

    First action

    Add the optional company field to Leeroopedia key signup.

    How to measure it

    Audits sourced from open-source users

    Now
    –
    Target
    2 a month
    By
    2 quarters

    Steps

    1. 1

      Add the question

      Optional, at key signup and in Discord.

      CTO 1 day

    2. 2

      Write the note

      Kapso inside Uniforge, two pages.

      Chief Scientist 2 days

    3. 3

      Set up the email

      One note, one audit offer, no sequence spam.

      Founding Engineer 1 day

    4. 4

      Review monthly

      Opted-in companies against target sectors.

      Founding Engineer monthly

    5. 5

      Personal outreach

      To the strongest fits.

      CEO monthly

    6. 6

      Report

      Pipeline sourced from open source.

      CEO quarterly

    First result
    2 months
    Cost
    $0
    Owner
    Founding Engineer

    Smallest test

    Ask in the Discord welcome message for one month.

    Why it works

    Add an optional question to Leeroopedia API key signup and the Discord welcome flow: "Using this at work? Tell us your company and we'll send you the enterprise notes." For those who opt in, send a short technical note on how Kapso powers Uniforge, and offer the free audit to their data team. Review opted-in companies monthly against the target sectors.

    Bottom-up developer adoption is a cheap way into large accounts when the team is three people. An opt-in keeps trust with the community.

    Risks and how to handle them

    • The community feels mined

      Strictly opt-in, clear purpose, easy to ignore.

    Builds on

    Evidence

    • Open sourceKapso on GitHub: MIT licence, 139 stars, 23 forks; the README reports RelBench classification at 81.2 AUROC against 79.3 for KumoRFM-v2 and recommendation at 18.4 MAP against 9.3, plus an IOAI 2026 score of 536.07 and the Grand Master Trophy; it offers "Kapso for Enterprise" through a "talk to us" link to leeroo.com; Uniforge is not mentioned.Source
    • Open sourceSuperML on GitHub: an ML engineering plugin for coding agents (Apache-2.0, 197 stars, 18 forks) that gives agents access to Leeroopedia; reports a with-and-without comparison on 37 ML tasks.Source
    • Open sourceLeeroopedia: 27,667 pages of ML and data engineering knowledge (1,118 workflows, 7,697 principles, 16,832 implementations, 1,245 heuristics, 909 environments); footer "Powered by Leeroo — building Organizational Superintelligence"; links to SuperML, the Leeroopedia MCP and Kapso; no mention of Uniforge or the free audit.Source
  • 17

    Real Chrome visitors pass: LCP is 1,987 ms at the 75th percentile and CLS is 0, so this isn't a Core Web Vitals emergency. But the homepage downloads 20.3 MB in 29 requests. About 8 MB could be saved with longer cache lifetimes, and in Google's mobile lab test the headline appears at 3.4 s, with 1.8 s of render-blocking requests and 316 KB of unused JavaScript. Executives often open vendor links on phones from LinkedIn or email.

    Medium impactLow effort First result in 1 week CTO

    First action

    List the five largest files the homepage downloads.

    How to measure it

    Homepage transfer size

    Now
    –
    Target
    Under 3 MB, mobile lab LCP under 2.5 s
    By
    30 days

    Steps

    1. 1

      Find the weight

      Largest requests in the PageSpeed report.

      CTO 1 hour

    2. 2

      Lazy-load media

      Poster image, video on click or in view.

      CTO 1 day

    3. 3

      Fix caching

      Long cache lifetimes for hashed assets on CloudFront.

      CTO 2 hours

    4. 4

      Unblock render

      Inline critical CSS, preload the hero font, defer scripts.

      CTO 1 day

    5. 5

      Trim JavaScript

      Remove unused bundles.

      CTO 1 day

    6. 6

      Re-test

      PageSpeed and field data a month later.

      CTO monthly

    First result
    1 week
    Cost
    Two engineering days
    Owner
    CTO

    Smallest test

    Lazy-load the largest asset and re-run PageSpeed.

    Why it works

    Find the heavy assets (likely the demo video or animation), serve a poster image and load the video only on click or when it scrolls into view, with a mobile-sized version. Set long cache lifetimes on hashed static files. Inline the critical CSS and fonts for the hero, and defer non-essential scripts so the headline paints first.

    A lighter page loads reliably on mobile networks and uses less of the visitor's data allowance, and the headline (the LCP element) appears sooner, which matters most on first visits from social links.

    Risks and how to handle them

    • The demo gets fewer plays

      Use a clear play button and track plays.

    Evidence

    • PageSpeedGoogle PageSpeed (November 2026): mobile performance 78, desktop 95; lab mobile LCP 3.4 s; the homepage downloads 20.3 MB in 29 requests, with about 8 MB savable through longer cache lifetimes, 1.8 s of render-blocking requests and 316 KB of unused JavaScript; Google Tag Manager (192 KB) and a jsDelivr-hosted script (183 KB) are the largest third parties. Real Chrome visitors: LCP 1,987 ms at the 75th percentile and CLS 0, both inside Google's "good" range.Source
  • 18

    The site runs Google Analytics, PostHog and Google Tag Manager, with Tag Manager the largest third-party script (192 KB). With one call to action and a long enterprise cycle, what matters is a handful of steps, most of which happen after the form: reply, access, the 48-hour report, and the pilot.

    Medium impactLow effort First result in 2 weeks CTO

    First action

    Write the six event definitions.

    How to measure it

    Leads with all funnel steps recorded

    Now
    –
    Target
    100%
    By
    30 days

    Steps

    1. 1

      Define events

      Six steps from page view to pilot.

      CTO 1 hour

    2. 2

      Choose the tool

      PostHog as source of truth; review the need for GA.

      CTO 1 hour

    3. 3

      Instrument the site

      Page, form and booking events.

      CTO 1 day

    4. 4

      Log offline steps

      Access, report and pilot entered by the team.

      Founding Engineer ongoing

    5. 5

      Tag sources

      Blog, Leeroopedia, Kapso and sector pages.

      CTO 2 hours

    6. 6

      Weekly review

      Drop-offs and fixes.

      CEO weekly

    First result
    2 weeks
    Cost
    $0
    Owner
    CTO

    Smallest test

    Track form submits by source for two weeks.

    Why it works

    Pick PostHog as the single source for the funnel and decide whether Google Analytics is still needed. Define six events: audit page viewed, form submitted, call booked, access granted, report delivered, pilot signed (the last three logged by the team). Tag sources (blog, Leeroopedia, Kapso, sector pages) and review the funnel weekly.

    With a few dozen leads a quarter, every drop-off is visible and fixable. One tool avoids conflicting numbers and saves page weight.

    Risks and how to handle them

    • Losing historical GA data

      Export before removing anything.

    Builds on

    Evidence

    • Your websiteSite scan (homepage and /contact-us): Google Analytics, PostHog and Google Tag Manager installed; no live chat; no online booking; no pricing page; no privacy or cookie policy linked; no trust center.Source
    • PageSpeedGoogle PageSpeed (November 2026): mobile performance 78, desktop 95; lab mobile LCP 3.4 s; the homepage downloads 20.3 MB in 29 requests, with about 8 MB savable through longer cache lifetimes, 1.8 s of render-blocking requests and 316 KB of unused JavaScript; Google Tag Manager (192 KB) and a jsDelivr-hosted script (183 KB) are the largest third parties. Real Chrome visitors: LCP 1,987 ms at the 75th percentile and CLS 0, both inside Google's "good" range.Source

Big bets 3

Larger plays that can change the trajectory.

  • 19

    The audit already runs "entirely in your cloud" on AWS, Azure or GCP and connects two or three systems read-only. Today every audit needs a request, a reply and the founders' time, and the team is three people. A packaged, deployable version would let a buyer's data team see their own duplicate and conflict counts without waiting for Leeroo.

    High impactHigh effort First result in 2 quarters CTO

    First action

    Decide the minimum agent set and the two most common system pairs for version one.

    How to measure it

    Mini-audits converting to full audits

    Now
    –
    Target
    25%
    By
    3 quarters

    Steps

    1. 1

      Scope v1

      Two agents, two systems, read-only.

      CTO 1 week

    2. 2

      Package

      Infrastructure template for one cloud first.

      CTO 1 month

    3. 3

      Build the report

      Same format as the sample audit.

      Chief Scientist 3 weeks

    4. 4

      Security review

      Permissions, egress and teardown.

      CTO 2 weeks

    5. 5

      List it

      Marketplace listing and a docs page.

      CTO 1 month

    6. 6

      Private beta

      Five friendly data teams.

      Founding Engineer 1 month

    7. 7

      Convert

      Offer the full audit to every completed mini-audit.

      CEO ongoing

    First result
    2 quarters
    Cost
    One to two engineer-quarters
    Owner
    CTO

    Smallest test

    Hand a deployable package to one friendly data team and watch them run it.

    Why it works

    Package a limited Uniforge build (entity resolution and data-quality agents only, two systems, read-only) as a deployable template or cloud marketplace listing. It produces a summary report in the buyer's account: duplicates, conflicts and missing links by system pair, with dollar estimates where billing data is present. The full audit, ML opportunities and action agents stay with the team-led audit and the pilot.

    It removes the team's time from the top of the funnel, lets security teams inspect what they deploy, and turns curious engineers into qualified leads who arrive with their own numbers.

    Risks and how to handle them

    • Free tool cannibalises the paid pilot

      Keep action agents and ML opportunities in the paid path.

    • Support load

      Private beta first, with docs and a community channel.

    Builds on

    Evidence

    • Your websiteFree audit page: "See what your data is really telling you."; "FREE AUDIT · 48 HOURS"; connects "2–3 of your systems" with "No setup on your side" and "Runs entirely in your cloud"; finds duplicates, conflicts and missing links plus "ML opportunities in your data, quantified by value"; the form asks for name, work email, company, company size, "Which systems should we look at?" and "Anything else?"; the team will "reply within one business day"; no sample report, testimonial or customer name.Source
    • Your websiteHomepage (checked November 9, 2026): H1 "A living model of your business. Built by AI. Run in your cloud."; Uniforge "connects to every system you operate" and ships agents; CTAs "Request a free audit", "Read the specification" and "Watch the demo"; proof from an unnamed "$1B enterprise" with 35+ systems: 9×10⁹ rows learned, a 62% cut in cross-system conflicts and about $20M of trapped value surfaced; runs in the customer's VPC on AWS, Azure or GCP, or fully on-prem and air-gapped; logos (Meta, Microsoft, Amazon, Hugging Face and others) shown as companies whose engineers use the team's open-source work; London, backed by Y Combinator.Source
    • Y CombinatorYC profile: Spring 2025 batch, team size 3, London; describes Leeroo as building trainable AI agents for data and AI teams that run on-prem or in a customer's VPC, with target pilot partners in banking, finance and healthcare.Source
  • 20

    Every audit measures duplicates, conflicts and missing links across named system types, and the $1B enterprise alone produced 9×10⁹ rows and a 62% conflict reduction. Aggregated and anonymised, these give a dataset no rival publishes: how often CRM and billing disagree, how much value sits in those gaps, and how that varies by sector and number of systems. Celonis wins attention with analyst reports. Leeroo could own the data-conflict number.

    High impactHigh effort First result in 3 quarters Chief Scientist

    First action

    Add an aggregate-statistics consent clause to the audit terms.

    How to measure it

    Audits sourced from the report

    Now
    –
    Target
    15 in the launch quarter
    By
    4 quarters

    Steps

    1. 1

      Add consent

      Aggregate-only clause in audit terms.

      CEO 1 week

    2. 2

      Define metrics

      Conflict, duplicate and value measures by system pair.

      Chief Scientist 2 weeks

    3. 3

      Collect

      From every audit for two quarters.

      Founding Engineer 2 quarters

    4. 4

      Analyse

      With confidence intervals and minimum sample sizes.

      Research Scientist Intern 1 month

    5. 5

      Build the benchmark tool

      Compare your own numbers.

      CTO 3 weeks

    6. 6

      Launch

      Report, press and social.

      CEO 1 month

    First result
    3 quarters
    Cost
    Staff time plus design
    Owner
    Chief Scientist

    Smallest test

    Publish one statistic from existing audits in a LinkedIn post.

    Why it works

    With customer consent built into the audit terms, collect anonymised aggregate statistics from each audit (conflict rates by system pair, duplicate rates, value per million records). Publish an annual report with a methods section, an interactive benchmark ("how does your CRM and billing conflict rate compare?") and a press and LinkedIn launch. Offer each participant their own percentile.

    Original benchmark data earns press, analyst and AI-assistant citations, and the percentile comparison gives every reader a reason to run an audit.

    Risks and how to handle them

    • Too few audits for credible statistics

      Publish ranges and sample sizes, or wait a cycle.

    Builds on

    Evidence

    • Your websiteHomepage (checked November 9, 2026): H1 "A living model of your business. Built by AI. Run in your cloud."; Uniforge "connects to every system you operate" and ships agents; CTAs "Request a free audit", "Read the specification" and "Watch the demo"; proof from an unnamed "$1B enterprise" with 35+ systems: 9×10⁹ rows learned, a 62% cut in cross-system conflicts and about $20M of trapped value surfaced; runs in the customer's VPC on AWS, Azure or GCP, or fully on-prem and air-gapped; logos (Meta, Microsoft, Amazon, Hugging Face and others) shown as companies whose engineers use the team's open-source work; London, backed by Y Combinator.Source
    • Your websiteFree audit page: "See what your data is really telling you."; "FREE AUDIT · 48 HOURS"; connects "2–3 of your systems" with "No setup on your side" and "Runs entirely in your cloud"; finds duplicates, conflicts and missing links plus "ML opportunities in your data, quantified by value"; the form asks for name, work email, company, company size, "Which systems should we look at?" and "Anything else?"; the team will "reply within one business day"; no sample report, testimonial or customer name.Source
    • Competitor researchCelonis: "Industrialize Enterprise AI"; a Context Model of process data pitched as "The missing piece of your Enterprise AI stack"; over 1,400 companies; "Try for free" next to "Join a demo".Source
  • 21

    Uniforge connects read-only to the same systems that integrators migrate and consolidate every day (Salesforce, Oracle Billing, SAP, ServiceNow, Workday), and the audit finds the duplicates, conflicts and missing links that make those migrations slip. A three-person company can't staff many enterprise deployments, and the Founding Engineer role exists to turn customer work into reusable patterns.

    High impactHigh effort First result in 2 quarters CEO

    First action

    List ten integrators active in Salesforce and Oracle billing projects in the UK and the US.

    How to measure it

    Audits sourced by integrators

    Now
    –
    Target
    6 a quarter
    By
    3 quarters

    Steps

    1. 1

      Shortlist partners

      Ten integrators by system and sector.

      CEO 1 week

    2. 2

      Design the offer

      Pre-migration check, revenue share and training.

      CEO 2 weeks

    3. 3

      Pilot one partner

      One joint account.

      Founding Engineer 1 quarter

    4. 4

      Train consultants

      Deployment playbook from the Uniforge docs.

      Founding Engineer 1 month

    5. 5

      Joint case study

      Publish with the partner.

      CEO 1 month

    6. 6

      Expand

      Second and third partners.

      CEO 2 quarters

    First result
    2 quarters
    Cost
    Revenue share plus enablement time
    Owner
    CEO

    Smallest test

    Offer one integrator a free pre-migration audit on a live project.

    Why it works

    Recruit two or three mid-sized systems integrators. Offer the 48-hour audit as a pre-migration data check they resell or bundle, a revenue share on Uniforge licences they source, and training so their consultants can run deployments. Start with one integrator and one system pair (CRM and billing), and co-write one joint case study.

    Integrators already have the executive relationships and the budget lines (migration, data quality). A pre-migration check gives them a reason to bring Leeroo into accounts it couldn't reach alone.

    Risks and how to handle them

    • Partners see Uniforge as replacing their services

      Position it as making their projects faster and less risky.

    Builds on

    Evidence

    • Your websiteProduct page: "Learns your business. Acts on it."; six learning agents (Entity Resolution, Lineage Mapping, Process Mining, Event Learning, Skill Learning, LoRA Training) and six action agents (Billing-integrity, Data-quality, Churn sentinel, Cross-sell, Contract-leakage, Fraud sentinel); integration logos Oracle, ServiceNow, SAP, Salesforce, Workday and "G Cloud", while the diagram shows Salesforce, Oracle Billing, ServiceNow, Zendesk, Workday and a warehouse ("6 SYSTEMS · 113 TABLES · READ-ONLY"); worked examples such as "National Riverbend Services" and "EST. $5.0M/YR" not labelled as illustrative; "Days, not quarters"; "Approvals where you want them. Full audit log."; no pricing, named case study or security page.Source
    • HiringFounding Engineer (London or remote, $10K–$15K a month, listed on Y Combinator): "Be a customer-first problem solver", working with customers from discovery through delivery and turning requests into scoped plans with clear ROI; joins pre-sales and discovery calls; connects Leeroo's agents to customer systems and feeds reusable patterns back to research and product; nice to have: privacy, security and model governance such as EU AI Act readiness. The post does not mention Uniforge or Kapso.Source
    • Y CombinatorYC profile: Spring 2025 batch, team size 3, London; describes Leeroo as building trainable AI agents for data and AI teams that run on-prem or in a customer's VPC, with target pilot partners in banking, finance and healthcare.Source

Wildcards 2

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

  • 22

    The Research Scientist Intern post commits to publishing "papers, datasets, and open-source code" from work on the Learning Engine. Leeroo's Hugging Face organisation has one public model, last updated in April 2024, and no datasets. Uniforge's first learning agent is entity resolution, and the product page's example is resolving a company name across systems.

    Medium impactMedium effort First result in 1 quarter Chief Scientist

    First action

    Write the benchmark spec: tables, noise types and metrics.

    How to measure it

    External leaderboard submissions

    Now
    –
    Target
    10
    By
    3 quarters

    Steps

    1. 1

      Spec

      Tables, entity types, noise and metrics.

      Chief Scientist 1 week

    2. 2

      Generate data

      Synthetic, enterprise-style and privacy-safe.

      Research Scientist Intern 1 month

    3. 3

      Baselines

      Open methods and Uniforge's agents.

      Research Scientist Intern 1 month

    4. 4

      Release

      Hugging Face dataset, code and leaderboard.

      Research Scientist Intern 2 weeks

    5. 5

      Paper

      Workshop or conference submission.

      Chief Scientist 1 month

    6. 6

      Link to product

      Dataset card and blog post point to the audit.

      CEO 1 day

    First result
    1 quarter
    Cost
    Intern time and compute
    Owner
    Chief Scientist

    Smallest test

    Release a small v0 dataset with one baseline.

    Why it works

    Make the intern's first project a public, synthetic multi-system entity-resolution and conflict benchmark (CRM, billing, ITSM and support tables with realistic noise), released on Hugging Face with a leaderboard and a paper. Report Uniforge's learning agents on it alongside open baselines, and link the dataset card to the audit.

    A benchmark defines the problem in Leeroo's terms, attracts researchers and engineers from target enterprises, and gives buyers an independent-looking yardstick, the way RelBench already works for Kapso.

    Risks and how to handle them

    • Synthetic data is seen as unrealistic

      Base noise patterns on anonymised statistics from real audits.

    Evidence

    • HiringResearch Scientist Intern, PhD (AI Agentic Systems) (London or remote, 3 to 6 months, $6.5K–$10K a month): "Design and run state-of-the-art machine-learning experiments to extend our agentic Learning Engine"; "Publish results through papers, datasets, and open-source code"; successful prototypes "move quickly into production".Source
    • Open sourceHugging Face organization "leeroo": one public model, last updated April 28, 2024; no public datasets; lists the KAPSO paper (arXiv 2601.21526).Source
    • Your websiteProduct page: "Learns your business. Acts on it."; six learning agents (Entity Resolution, Lineage Mapping, Process Mining, Event Learning, Skill Learning, LoRA Training) and six action agents (Billing-integrity, Data-quality, Churn sentinel, Cross-sell, Contract-leakage, Fraud sentinel); integration logos Oracle, ServiceNow, SAP, Salesforce, Workday and "G Cloud", while the diagram shows Salesforce, Oracle Billing, ServiceNow, Zendesk, Workday and a warehouse ("6 SYSTEMS · 113 TABLES · READ-ONLY"); worked examples such as "National Riverbend Services" and "EST. $5.0M/YR" not labelled as illustrative; "Days, not quarters"; "Approvals where you want them. Full audit log."; no pricing, named case study or security page.Source
  • 23

    The audit's requester is usually a data or operations person who names the systems, but the findings are in dollars (trapped value, revenue recovery, contract leakage), which is the language of finance. The Founding Engineer post stresses "scoped plans with clear ROI". Without a finance-ready summary, the champion has to translate a technical report before anyone with budget sees it.

    Medium impactLow effort First result in 1 month CEO

    First action

    Draft the summary template from the sample audit.

    How to measure it

    Audits with a finance stakeholder engaged

    Now
    –
    Target
    50%
    By
    2 quarters

    Steps

    1. 1

      Draft the template

      Total, top three items, confidence, pilot and next step.

      CEO 1 day

    2. 2

      Write the forward email

      Three sentences the champion can send.

      CEO 1 hour

    3. 3

      Automate the numbers

      Pull figures from the audit output.

      Founding Engineer 2 days

    4. 4

      Offer the joint call

      20 minutes with finance.

      CEO ongoing

    5. 5

      Track

      Finance engagement and pilot rate.

      CTO monthly

    6. 6

      Refine

      Update wording from CFO questions.

      CEO quarterly

    First result
    1 month
    Cost
    $0
    Owner
    CEO

    Smallest test

    Add the summary page to the next two audits.

    Why it works

    Add a one-page "For your CFO" summary to every audit: the total dollar value found, the three largest items, the confidence level, what a 30-day pilot would recover, and a single next step. Make it easy to forward (PDF and a short email template), and offer the champion a 20-minute joint call with their finance lead.

    Enterprise deals move when the budget holder sees money, and the audit already quantifies it. Internal referral from champion to CFO is the cheapest path to a pilot decision.

    Risks and how to handle them

    • Overstated dollar figures damage trust with finance

      Show confidence ranges and the method in one line.

    Builds on

    Evidence

    • Your websiteFree audit page: "See what your data is really telling you."; "FREE AUDIT · 48 HOURS"; connects "2–3 of your systems" with "No setup on your side" and "Runs entirely in your cloud"; finds duplicates, conflicts and missing links plus "ML opportunities in your data, quantified by value"; the form asks for name, work email, company, company size, "Which systems should we look at?" and "Anything else?"; the team will "reply within one business day"; no sample report, testimonial or customer name.Source
    • HiringFounding Engineer (London or remote, $10K–$15K a month, listed on Y Combinator): "Be a customer-first problem solver", working with customers from discovery through delivery and turning requests into scoped plans with clear ROI; joins pre-sales and discovery calls; connects Leeroo's agents to customer systems and feeds reusable patterns back to research and product; nice to have: privacy, security and model governance such as EU AI Act readiness. The post does not mention Uniforge or Kapso.Source
    • Your websiteHomepage (checked November 9, 2026): H1 "A living model of your business. Built by AI. Run in your cloud."; Uniforge "connects to every system you operate" and ships agents; CTAs "Request a free audit", "Read the specification" and "Watch the demo"; proof from an unnamed "$1B enterprise" with 35+ systems: 9×10⁹ rows learned, a 62% cut in cross-system conflicts and about $20M of trapped value surfaced; runs in the customer's VPC on AWS, Azure or GCP, or fully on-prem and air-gapped; logos (Meta, Microsoft, Amazon, Hugging Face and others) shown as companies whose engineers use the team's open-source work; London, backed by Y Combinator.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.

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. Leeroo did not commission, review or endorse it, and Programmable is not affiliated with Leeroo. 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 Leeroo runs its business.

Something wrong, or do you represent Leeroo? 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

    Make the site readable and trustworthy: server-rendered blog posts, a sample audit report, an audit access guide, a security page, booking after the form, labelled examples, an updated YC profile and job posts, and an audit link from Leeroopedia.

  2. Days 31 to 6011 ideas

    Build the enterprise funnel: a Kapso for Enterprise page, a RelBench results page, Uniforge docs, one integrations list, a paid pilot, vertical pages, a full case study, the open-source bridge, a lighter homepage, funnel analytics and a CFO summary for each audit.

  3. Days 61 to 904 ideas

    Commit to the big bets: a mini-audit customers can deploy themselves, an annual data-conflict report, integrator partners, and research aimed at buyers.

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 data never leaves their own cloud or data centre. The most cited problem: duplicates and conflicts across dozens of systems.

  • Findings quantified in dollars, not just data-quality scores
  • Every new AI use case needs a new chain of data engineers, analysts and ML engineers
  • In their words: “trapped value”

Market

Competitive landscape

4 competitors compared: Palantir (Foundry and AIP), Celonis, Tamr and Kumo Relational (NVIDIA).

  • Gap to exploit: Sovereign, air-gapped deployment for regulated enterprises
  • Palantir (Foundry and AIP): Large commitments and long deployments
  • Celonis: Process-centric rather than whole-business entity model

Hiring signals

Leeroo is a team of three hiring for two jobs, both listed on Y Combinator.

  • Founding Engineer: Customer-first delivery, pre-sales and scoped ROI plans. Ideas 3, 13, 21, 23.
  • Research Scientist Intern, PhD (AI Agentic Systems): Learning Engine research with papers, datasets and open-source code. Ideas 10, 22.

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