Independent
We work outside the development process, so the record of an evaluation is clear, defensible, and useful.
Independent AI assurance
Entercept independently evaluates AI systems for reliability, safety, compliance, and real world behaviour through continuous evaluation, evidence generation, and ongoing monitoring.
The problem
Builders are increasingly responsible for evaluating the systems they create. That is necessary, but it is not enough.
Models evolve. Prompts evolve. Agents evolve. Risk evolves. Independent assurance is an ongoing process that gives organisations a reliable basis for understanding what an AI system does, where it should be used, and what requires attention.
Our principles
We work outside the development process, so the record of an evaluation is clear, defensible, and useful.
Our conclusions are supported by observed behaviour, documented methods, and a record that can be reviewed.
Ongoing monitoring keeps assurance current as systems, contexts, and decisions evolve.
Our approach
We examine how an AI system behaves, not only how it was designed to behave. The result is a measured account of performance, limitations, and risk.
Observe systems in the conditions they encounter as they evolve.
Test the boundaries, failure modes, and unexpected inputs.
Turn observations into versioned records that can inform decisions.
Make evaluations clear enough to repeat and review.
The platform
Reports
Assurance is only as useful as the evidence behind it. Our reports make that evidence legible to technical teams, leaders, and reviewers.
A clear record of system behaviour under defined conditions.
Material findings, their context, and the decisions they inform.
Traceable evidence for internal review and external scrutiny.
What leaders need to know, stated plainly.
Built for scrutiny
Independent assurance for AI systems that continues as your systems evolve.
Request Early Access