Determa Determa Applied AI Systems
DE Let’s talk

Run controlled AI on your own infrastructure.

Delivery through to controlled production operation — including handover to your own team.

Book a 30-minute call 30 minutes · free · no obligation

Deliverables

Build & Control

  • the context layer on a temporal knowledge graph, on your tenant
  • evaluation and observability
  • deterministic process steps
  • audit trail
  • handover to the client team

The control loop

Agent run
Evaluationagainst agreed test cases
Observabilitylatency, cost, errors
Audit Trailwho approved what, when
↺ findings go into the next release
Control after go-live is a loop: every run is evaluated, observed and recorded, and what the records show feeds the next release.

Facts with a time and a source

  1. valid Jun – 27 AugLaunch date: 1 September · source: CRM deal, Jun
  2. valid since 28 AugLaunch date: 15 October · source: ticket PRJ-412, comment of 28 Aug
A temporal knowledge graph keeps each fact with the time it was true and the record it came from. When the date changes, the old value stays visible as history, and an answer can be traced to its source. Fictional example.

Handover

BuildDeterma runs it
Shadowyour team runs, Determa reviews
Handoversource, runbook, training
Your teamoperation package optional
Responsibility moves to your team in steps. After handover your team runs the system on its own; an operation package is optional.

Also relevant