OsirisInc

Neural-network AI for Medical Affairs

Sophisticated neural-network AI,
harnessed for Medical Affairs.

An ultra-high-quality SaaS platform that strategically revolutionizes every aspect of Medical Affairs — inquiry response, literature intelligence, field insights, content and analytics, unified on one governed neural-network core. Every output source-grounded, permissioned, logged and human-reviewed.

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Drafted response · pending review

Illustrative scenario

Across the twelve-workstream launch scenario, top-tier expert coverage rose from 58% to 83% while low-value repeat contacts fell 21%.

Press a citation. This is what the platform does with every output it produces.

What we do

Eight capabilities.
One revolutionary core.

Not a menu — a dependency order. The platform foundation carries every capability above it.

01Platform foundationThe shared, governed control plane every other workflow runs on.→ 02Medical informationIntake, triage and duplicate detection through to a cited draft — with review before send.→ 03Literature intelligenceContinuous monitoring of publications, congresses and competitors, summarised with sources.→ 04Field insightsPre- and post-call support feeding a searchable scientific intelligence network.→ 05Content productionDrafting accelerated; mandatory medical, legal and compliance review stays the release gate.→ 06Evidence analyticsWhere the evidence is thin, which investigators are emerging, which topics deserve priority.→ 07Governance & validationGxP assessment, validation protocols, hallucination testing, prompt governance, audit logging.→ 08Training & adoptionRole-based training, certification and leadership cadence that make governed use standard.→

How it works

Approved in. Controlled out.

Nothing reaches a reader without passing the middle column.

Approved sources

Medical information databases Publications & PubMed Congress materials SOPs & reviewed content Trial summaries

Governed core

Approved knowledge + retrieval

  • Cited evidence retrieval
  • Prompt governance & output controls
  • Audit trails & validation evidence
  • Role-based access by workflow

Controlled outputs

Medical information drafts Literature alerts Field call support Content generation Evidence dashboards

Every generated output is source-grounded, permissioned, logged, and routed through the right human-review path before it becomes standard work.

Worked scenarios

The platform, worked end to end.

Six scenarios worked end to end on a synthetic dataset — the decision that was failing, the intervention, and how it was measured.

Illustrative scenario

Medical information

Bringing medical information response back inside SLA

Structured inquiry logging plus explicit SLA targets took on-time response to 91% and closed two recurring clusters at source.

Read the full scenario → Illustrative scenario

Field insights

Turning field conversations into decisions you can trace

A controlled taxonomy and a monthly synthesis council resolved 48 free-text insights into 4 validated themes.

Read the full scenario → Illustrative scenario

Evidence strategy

Ranking evidence gaps before funding studies

Twenty-two competing study ideas reduced to six ranked gaps and ten scored concepts — three advanced.

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All case studies →

Connect with an expert

Tell us where AI is stalling in your Medical Affairs organisation, and we’ll come back with a concrete view of what a governed approach would look like.

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