AI that works within the workflow.
Personal learning agents, institutional platforms, and assistants that put knowledge to work. We build retrieval, evaluation, and review into the workflow so a useful answer can lead to a responsible action.
How we approach ai agents & learning systems.
Explore the engineering expertiseWe define what an agent needs to know, what it may do, and when a person takes over. That gives personal learning agents and institutional assistants a useful role with understandable boundaries.
What shapes the work.
Knowledge and context
Connect approved sources and make the origin of an answer visible.
Evaluation
Test behaviour against the actual tasks, failure cases, and users of the system.
Human intervention
Build clear review, escalation, and correction paths into the experience.
Connected disciplines.
Related domains.
A project often crosses boundaries. Explore the connections that inform this work.