AI Governance and MLOps

Governance for the AI you build and the AI you buy: explaining decisions to a regulator or a customer, reproducing results, and letting staff use large language models without exposing confidential information.

Explainability

We implement methods that show why a model made a particular prediction, so you can explain a decision to a regulator or a customer.

Model lifecycle

Every version of a model is recorded with the data it was trained on, so its results can be reproduced if they are challenged.

Generative AI

We set up controlled environments for large language models, so staff can use them without exposing confidential information.

AI review

We help you assess the fairness and risks of your AI use cases before and after they go live.