ASR Applied

Solutions · Scientific AI & Knowledge Systems

Provenance-aware AI for scientific reasoning.

Scientific AI & Knowledge Systems are domain-specific systems that reason through scientific evidence with provenance, uncertainty, and auditability built in. They are not general-purpose AI assistants.

Pilot

Available in controlled contexts. Not a standard commercial offering.

What we build

Domain-specific systems with auditability.

These systems are designed for scientific reasoning, not general conversation. Recommendations record the evidence and confidence behind them.

  1. Domain-specific research agents

    Agents that operate within a defined scientific domain, with bounded scope and explicit uncertainty.
  2. Evidence retrieval

    Retrieval systems that surface the right evidence at the right time, with provenance and evidence grade.
  3. Candidate prioritisation

    Systems that rank candidates against defined criteria with explainable reasoning and uncertainty.
  4. Knowledge systems

    Persistent knowledge substrates that compound across engagements, cohorts, and the institutional base.
  5. Scientific AI evaluation harnesses

    Evaluation infrastructure that measures whether a system actually creates research value.
  6. Internal research platforms

    Platforms that support internal research workflows — versioning, provenance, audit trails.

Not every system is CIRRA-powered

CIRRA is a specialised biological discovery intelligence system. FDE engagements may reuse CIRRA-derived concepts or technical components where legitimately applicable. Where an external system does not require CIRRA, ASR does not artificially label it as CIRRA.

Work with ASR

Bring us a workflow.

If your team has a high-friction scientific workflow, we will help you determine whether and where software or AI should intervene.