Resources
Guides for evaluating AI products
Practical, source-backed guides drawn from the same framework we use to evaluate products. Each one is a complete working document rather than an overview - questions to ask, what counts as an answer, and the red flags that should stop a deal.
Published guides
Buyer guide
AI Vendor Risk Assessment: A Practical Guide and Questionnaire
How to assess AI vendor risk before you buy: a 6-step process, a 30-question questionnaire, and benchmark data from independently scored AI tools.
Last updated
Investor guideAI Due Diligence Checklist: What Investors Should Verify in an AI Startup
A 23-point AI due diligence checklist for investors: model dependence, data rights, inference margins, security and regulation, with red flags for each.
Last updated
Related reading
See the scores the guides refer to
The leaderboards publish the current evaluation for every product in a cohort, scored against the framework these guides are built on.