Startup profile · funding coverage
Vals AI startup funding profile
Independent evaluation platform and private benchmarks that measure whether AI models can do real professional work.
Stage
series a
Status
private
Coverage
full
Overview
Vals AI builds privately held test sets and evaluation infrastructure to score frontier models on lawyer, banker, engineer, and doctor work. On August 13, 2026 it announced a $40 million Series A at a $400 million valuation led by Andreessen Horowitz, with participation from existing investors 8VC, Pear VC, and BloombergBeta and new investors HRT Ventures and Next Ladder Ventures. The company said revenue grew 8x versus all of 2025, customers doubled, and headcount tripled in six months — treat those as company-reported. Alongside the round it launched Vals Smith (custom coding benchmarks from GitHub repos), frontier-risk benchmarks, and Vals Index 2.0.
Why Vals AI is interesting
August 13, 2026 Series A: $40M at $400M led by a16z, with 8VC returning. The bet is that labs and enterprises need a third-party scorekeeper as public benchmarks leak into training data — not another foundation model.
Product & use cases
Evaluation platform plus privately held professional-work benchmarks (finance, coding, legal) and Vals Smith for generating coding tests from GitHub repositories.
- Labs citing independent scores in model cards
- Enterprises choosing models for domain work
- Policy and commerce teams measuring capability and cyber risk
Key facts
- Series A (Aug 13, 2026): $40M at $400M led by a16z; 8VC, Pear VC, BloombergBeta returning (company blog)
- Company-reported: 8x revenue vs 2025; 2x customers; 3x team in six months
- Directory-linked: /fund/andreessen-horowitz, /fund/8vc
Fundraising history
Series A
2026-08 $40M Valuation: $400M- Andreessen Horowitz (lead)
- 8VC (participant)
- Pear VC (participant)
- BloombergBeta (participant)
- HRT Ventures (participant)
- Next Ladder Ventures (participant)
Investors in our directory
Funds linked from Vals AI's profile — open a fund page for stage focus and related deal articles.
Competitive landscape
Edge: Private test sets and claimed model-card citations. Independence is the product; an a16z lead is a credibility tension to watch.
AI evaluation is splitting into public arenas, academic suites, and commercial independent testers. Vals is in the third bucket. Switching costs depend on whether private benches stay uncontaminated and whether buyers trust an a16z-backed vendor to score a16z-backed labs.
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LMSYS / Chatbot Arena adjacent
Public preference leaderboards, not private professional-work tests.
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Stanford HELM adjacent
Academic transparency evals; slower commercial packaging.
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Lab-owned eval harnesses incumbent
First-party scores used in marketing; conflicted by construction.
Notable stories
- Company: results cited in model cards from OpenAI, Anthropic, Google, Meta, and xAI (Vals Series A post).
- Thesis in the company’s words: trillions invested in generating intelligence, comparatively little in independent measurement.
Industries
Related funding articles
Venture Capital Tracker pieces that cover Vals AI's financing or category context.
FAQs about Vals AI
Practical answers founders, operators, and investors typically search for.
Last updated: 2026-08-18