About MosaicAGI

Independent testing of the AI system before you put it in front of customers.

What we do

An independent evaluation laboratory. For a specific deployment we build an evaluation suite on the customer's own tasks and data, measure task accuracy with proper statistics rather than cherry-picked examples, red-team for prompt injection, jailbreaks and data extraction, test for disparate performance across the populations the customer serves, measure calibration and failure behaviour, and stress-test the surrounding system including tool use and retrieval. The output is a report a regulator or a board can read, with pass criteria agreed in advance and results reported whether or not they are flattering.

Who we built it for

• Chief risk officers

  Risk leaders at enterprises deploying AI in financial services, healthcare, insurance, legal and government.

• Heads of AI governance

  Governance leaders who need a framework for signing off an AI deployment, and the vocabulary to challenge a vendor.

• Procurement leads

  Buyers of AI systems for regulated or high-stakes functions who need more than vendor benchmarks.

The problem

Companies are buying AI systems on vendor benchmarks, which are marketing.

Nobody independently tests whether a model actually performs on the buyer's own tasks, how it fails, whether it can be manipulated, or how it behaves on the edge cases that produce regulatory exposure.

Then it goes live, fails publicly, and the board asks who checked.

Try it before anything else

The free AI deployment evidence check runs in your browser with no account. Answer questions about one AI deployment, and see where the evidence for signing it off is thin. Open it.