Life Sciences

Connect AI to scientific knowledge with evidence and oversight.

Explore scientific search, document analysis, and decision support with clear evaluation criteria and human review.

The challenge

Retrieval is only as good as its permissions.

Scientific information is distributed across publications, internal documents, and structured data. A fluent AI answer is useful only when its sources and limitations can be examined.

Implementation considerations

Make the boundaries explicit.

01

Choose a bounded research question

Start with a defined information task and an approved corpus. Specify what a useful answer contains, when the system should abstain, and who reviews uncertain results.

02

Preserve permissions and evidence

Apply source access rules during retrieval, preserve document versions, and show supporting passages. Treat instructions found inside retrieved material as untrusted content.

03

Evaluate before extending access

Test retrieval quality, unsupported assertions, sensitive-data handling, and reviewer effort using a representative evaluation set. Begin with read-only assistance; any action capability requires separate authorization and controls.

Technical perspective

The architecture behind the work.

Permission checks belong before retrieval, not after a model has already seen the source.

AI for Scientific Discovery — architecture flowApproved sources flows to Permission checks flows to Retrieval flows to Evidence review flows to Scientist decision. Identity, security, governance, and observability span all stages.IDENTITY · SECURITY · GOVERNANCE · OBSERVABILITY01Approved sources02Permission checks03Retrieval04Evidence review05Scientist decisionCONNECTED BY DESIGNReviewed at every boundary.

Scope the first step

Before the first commitment.

Can a model be pointed at all our research data?

Not safely. Retrieval is scoped to approved sources with existing permissions preserved, so a scientist can see which evidence produced an answer and whether they were entitled to see it.

Scope, deliverables & terms ↗

Start with one challenge

Let’s connect what comes next.

Bring the workflow, the systems, and the question. Define a useful next step together.

Discuss Your Challenge