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Aurenex

Context AI

Grounded reasoning over regulated data

The retrieval corpus deserves the same governance as a validated document repository. When it gets it, agents become genuinely useful.

How we approach it

Three commitments we hold to

01

Governed retrieval

Curated corpora with access enforcement, versioning and citation extraction.

02

Evaluation harnesses

Scenario suites with critical-finding recall scored separately from fluency.

03

Guardrails that explain

A blocked action states the policy that applied and the compliant path forward.

Agents

Agents that work in this domain

Services

How engagements are structured

Engineering Expertise

Agentic & Generative AI

We design agent systems for regulated environments: retrieval grounded in governed sources, deterministic tool use, evaluation harnesses, and escalation paths that keep a human accountable for every consequential decision.

  • Agent architecture and orchestration
  • Grounded retrieval over governed data
  • Evaluation harnesses and regression suites
  • Guardrails, audit trails and oversight UX

Engineering Expertise

Quality & Compliance

We embed validation and control design into delivery rather than bolting it on: computerised system validation, audit trails, access governance and documented AI risk assessment.

  • GxP validation packages
  • Audit trail and access governance
  • AI risk assessment frameworks
  • SOP and control documentation

FAQ

Questions we are usually asked

Next step

Bring a real problem. We will bring the architecture.

Thirty minutes with our architects is usually enough to tell whether a programme is ready for agents, or whether the data foundation needs work first.

Talk to an architect
See the work