TechCrunch reports that AI evaluation startup Vals raised $40 million in a Series A led by Andreessen Horowitz, after an earlier seed round led by 8VC and Bloomberg Beta. Unlike benchmarking systems built on public test sets, Vals does not disclose its specific test materials in order to prevent models from training against them, and evaluates models on complex tasks tied to industries such as law, finance, and coding. The company says its revenue is currently eight times last year's, and its team has grown from eight people at the start of the year to 25, with plans to hire another 10 to 15; it has also launched a program providing model evaluations to federal agencies.

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