Vals AI raises $40M Series A. Vals AI raises $40M Series A led by a16z at a $400M valuation to expand its independent AI evaluation and benchmarking platform. Updated August 13, 2026 Vals AI raises $40M Series A at $400M valuation. Vals AI, an artificial intelligence evaluation startup, has announced a $40 million Series A funding round at a $400 million valuation. The company focuses on providing independent benchmarks for artificial intelligence models, helping enterprises, labs, and governments measure model performance and ROI across various professional domains. Investors. The round was led by a16z, with participation from existing investors 8VC and BloombergBeta, as well as new investors HRT Ventures and Next Ladder Ventures. Vals AI use of funds. Vals AI plans to use the capital to support its continued growth as an independent evaluator of artificial intelligence, including expanding its team and enhancing its benchmark infrastructure and testing capabilities. About Vals AI. Vals AI is an independent AI evaluation company that develops benchmarks and evaluation tools to measure the capabilities and performance of artificial intelligence models. The company evaluates AI systems on real-world tasks across industries including law, banking, engineering, and healthcare, helping enterprises, AI labs, and governments assess model performance, risks, and progress. Funding details. Company: Vals AI Raised: $40M Round: Series A Funding Date: August 13, 2026 Lead Investor: a16z Additional Investors: 8VC, BloombergBeta, HRT Ventures, Next Ladder Ventures Company Website: https://www.vals.ai/ Software Category: Artificial Intelligence Source: https://www.vals.ai/blogs/series-a Updated August 13, 2026

Vals AI raised $40 million in Series A funding led by a16z to build independent benchmarks evaluating AI models on real-world tasks in finance

By Jim Wagner, CEO, The Contract NetworkA ‘Vals 2’ legal AI benchmarking project is planned and it is bound to spark debate. As many remember, ‘Vals 1’ was far from smooth – companies withdrew and participants questioned the methodology. I support transparency in legal AI, but past benchmarking efforts in our industry, including Vals 1, have at best produced mixed results.When executed well, benchmarking offers genuine insight. It lets legal professionals choose tools with confidence, nudges vendors to improve, and, in rare cases, moves the entire field forward, (thank you again, Maura Grossman and Gordon Cormack).Still, truly effective benchmarking in legal AI remains elusive. Prior attempts, both inside and outside law, have often generated more clouds than light, leaving would‑be adopters uncertain about what these tools can accomplish in real‑world conditions.The Perils of ‘Good Enough’ – When Benchmarks Fall ShortEven well‑intentioned studies can mislead. We saw that with the first Vals Legal AI Report (‘Vals 1’)