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Evidence-bound summary — expand sections for movement, risks, and signals.
Memo snapshot · May 20, 2026, 5:29 PM
What would change this read
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TL;DR
Seed (YC)The LLM Data Company provides evaluation tooling and frontier models for critical domains.
Part of Y Combinator's Spring 2025 batch
Funding
MediumPart of Y Combinator's Spring 2025 batch
Hiring
LowNo explicit hiring information
GitHub
LowNo github information available
Product / news
MediumCompany blog available on official domain
Traffic / social
LowNo traffic or social metrics available
Verified facts
Inferred (corpus-only)
YC Spring 2025; eval tooling (doteval) and frontier models for critical domains. No public round size on YC.
Weak funding evidence: mention does not include a parsed raise amount/round and may refer to non-funding context.
No open roles indexed yet.
The index price and activity score are algorithmic estimates based on observed public company-level signals. They may be incomplete, stale, or inaccurate and are not investment, legal, tax, or business advice.
Source types found
Strongest / recent news-style rows
Wed, May 20, 05:29 PM · confidence 88%high quality
Newest first · 6 event(s)
Source: Blog
Research from the LLM Data Company
Source: Homepage
The LLM Data Company is training frontier models for critical domains and closing the verification gap in hard-to-verify domains.
Source: official_site
Research - The LLM Data Company - The LLM Data Company The LLM Data Company Post-Training Models for Production Agents Home Curriculum Research Contact Us -> The LLM Data Company Research Jun 1, 2026 Notes on Choosing a Rubric Judge Experiments in rubric g…
Source: official_site
The LLM Data Company The LLM Data Company Post-Training Models for Production Agents Home Curriculum Research Contact Us -> See our latest release Kos-1 Experimental: Env-free RL at 1T Params Read → The LLM Data Company Post-Training Models for Production…
YC Spring 2025; eval tooling (doteval) and frontier models for critical domains. No public round size on YC.
Source: npm_registry
TypeScript/Node.js bindings for Rubric - LLM-based evaluation using weighted rubrics. High-performance Rust core with idiomatic TypeScript API.
3 row(s)
The company's own site — the authoritative description of what they sell and to whom. Marketing-controlled, so treat claims as positioning rather than verified traction.
The LLM Data Company is training frontier models for critical domains and closing the verification gap in hard-to-verify domains.
Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.
Open source ↗Research - The LLM Data Company - The LLM Data Company The LLM Data Company Post-Training Models for Production Agents Home Curriculum Research Contact Us -> The LLM Data Company Research Jun 1, 2026 Notes on Choosing a Rubric Judge Experiments in rubric g…
Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.
Open source ↗The LLM Data Company The LLM Data Company Post-Training Models for Production Agents Home Curriculum Research Contact Us -> See our latest release Kos-1 Experimental: Env-free RL at 1T Params Read → The LLM Data Company Post-Training Models for Production…
Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.
Open source ↗1 row(s)
Funding announcements and investor-database records. The strongest public signal of capitalization: round, amount, and syndicate quality when disclosed.
YC Spring 2025; eval tooling (doteval) and frontier models for critical domains. No public round size on YC.
Why it matters: Funding signal — Seed per this source; verify against the linked original before relying on it.
Open source ↗1 row(s)
Public engineering activity. Sustained commits, releases, and stars indicate real product development and, for dev tools, developer adoption.
TypeScript/Node.js bindings for Rubric - LLM-based evaluation using weighted rubrics. High-performance Rust core with idiomatic TypeScript API.
Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.
Open source ↗1 row(s)
Company blog and newsletters. Shipping cadence and technical depth of posts hint at product velocity and team quality.
Research from the LLM Data Company
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗Sign in as an active team member to view private notes, watchlist controls, transcript evidence, and interaction history.