#13
Sepal AI
Commercial
medium confidence
Sepal AI is a YC-backed (S24) San Francisco data-research company that builds high-quality training data, expert-graded evaluation benchmarks, and reinforcement-learning environments for frontier LLMs, drawing on a network of 20k+ domain experts (PhDs, finance, medical, STEM). It was acquired by Mercor in February 2026.
Key facts
Headquarters
San Francisco, USA
confirmed citeLast round
Pre-seed, ~$500K, 2024-09-25 (per Crunchbase aggregator; not independently confirmed by a primary announcement)
reported cite
Scale & velocity
Current headcount
~13-15 core team (YC team size 15; getlatka 13 for 2024). LinkedIn public snippet shows 51-200 band (likely includes contract experts)
reported citeDistributed / remote
unknown
Research depth
Backgrounds
Co-founders ex-Turing (built/scaled the LLM-trainer business; Robi Lin scaled trainers 50 to 800+; Kat Hu managed 500+ AI trainers), Co-founder Robi Lin formerly at Bain & Co.; co-founder Kat Hu former McKinsey consultant, Co-founder Fedor early engineer at Vercel and Newfront, Engages 20k+ network of academic PhDs and domain professionals (STEM, medical, finance, business)
reported citePapers / benchmarks
SheetBench-50, first public financial-analyst-grade benchmark of AI agents on real spreadsheet/financial workflows (50 tasks), built in partnership with HUD; tasks validated by finance pros from PwC, Cisco, Charles Schwab, Fannie Mae
confirmed cite
Capital
Total raised
~$500K disclosed (single pre-seed round, Sep 2024) per aggregators; YC profile separately states 'several million dollars from leading investors' (unresolved conflict)
reported citeLast round
Pre-seed, ~$500K, 2024-09-25 (per Crunchbase aggregator; not independently confirmed by a primary announcement)
reported citeInvestors
Y Combinator, Metaplanet Holdings, SID Venture Partners, Sterling Road, Team Ignite Ventures
reported citeRevenue signals
Third-party (getlatka) claims ~$2M revenue with a 13-person team in 2024, single unverified source, not vendor-confirmed
reported cite
Security & compliance
Other certifications
unknown
Product
Notable customers
⚑Top AI research labs (unnamed; frontier-lab ties referenced in Mercor acquisition rationale) self-claimed Multiple Fortune 500 companies (unnamed) self-claimed HUD (co-builder/collaboration partner on SheetBench-50, NOT a customer) verified cite
Buyer analysis
Best fit: Buyers needing expert-validated evaluation environments and RL/training data for complex domains (notably finance/spreadsheet analyst workflows and advanced science), note the team is now part of Mercor following the Feb 2026 acquisition.
How we verified this
Independently re-verified the highest-risk claims. CONFIRMED: Mercor's Feb 2026 acquisition (Orrick + Mercor/founder LinkedIn posts), founding year 2024 and SF HQ (YC), and SheetBench-50 benchmark co-built with HUD (HUD case study + HuggingFace). Funding remains at 'reported', multiple aggregators report a single ~$500K pre-seed round, but this conflicts with the YC profile's 'several million dollars' claim and no primary press release exists; not upgraded. Investors are consistent across aggregators but lack a primary announcement (kept 'reported'). KEY CORRECTIONS: (1) headcount_band downgraded from '11-50' to 'unknown', LinkedIn shows a 51-200 band while YC lists 15, an unresolvable conflict; a startup of this stage is not genuinely 200+, and neither band is cleanly supportable. (2) HUD reclassified from a 'customer' to a co-builder/collaboration partner, it is a benchmark co-author, not a paying customer; the Fortune 500 and AI-lab customers remain correctly self-claimed (unnamed). soc2/certifications/security all correctly remain unknown (no trust page found). This is the correct company matching the 'expert evaluation environments' directory note.
Sources
- www.sepalai.com/ · 2026-06-07, Official site (returned 402 on fetch; confirmed via search snippets) - tagline 'Making models smarter and safer', data research company
- www.sepalai.com/careers · 2026-06-07, Careers page; open roles incl. Applied Research Engineer, Senior/Fullstack SWE (402 on direct fetch, partial via LinkedIn/YC)
- www.ycombinator.com/companies/sepal-ai · 2026-06-07, YC S24 profile: founded 2024, SF, team size 15, founders Robi Lin/Kat Hu (ex-Turing)/Fedor (ex-Vercel), Fortune 500 + AI-lab customers, status acquired
- www.orrick.com/en/News/2026/02/Mercor-Acquires-Sepal-AI · 2026-06-07, Acquisition announcement, 2026-02-06; Mercor acquires Sepal AI; no deal terms disclosed
- www.crunchbase.com/organization/sepal-ai · 2026-06-07, Crunchbase profile (403 on fetch; via search) - funding & investors
- www.crunchbase.com/funding_round/sepal-ai-pre-seed--fda22c6a · 2026-06-07, Pre-seed round dated 2024-09-25, ~$500K
- startupintros.com/orgs/sepal-ai · 2026-06-07, Investors: Metaplanet Holdings, SID Venture Partners, Sterling Road, Team Ignite Ventures, YC
- www.linkedin.com/company/sepalai · 2026-06-07, Public snippet: HQ San Francisco, 51-200 employee band (likely incl. contract experts), Technology/Information/Internet
- www.hud.ai/case-studies/sheetbench-50 · 2026-06-07, SheetBench-50 financial-analyst benchmark co-built by HUD and Sepal AI; tasks validated by finance pros from PwC, Cisco, Charles Schwab, Fannie Mae
- huggingface.co/datasets/hud-evals/SheetBench-50 · 2026-06-07, SheetBench-50 dataset hosted on HuggingFace under hud-evals
- getlatka.com/companies/sepalai.com · 2026-06-07, Third-party unverified claim: ~$2M revenue, 13-person team, 2024
- pitchbook.com/profiles/company/639950-14 · 2026-06-07, PitchBook profile (valuation/investors/acquisition) - via search snippet
Last updated 2026-06-07 · Every quantitative field carries a source and a confidence tag. Fields we could not source publicly are marked
unknown, never estimated. See the
methodology.