What we do
A sophisticated neural-network platform powers every Medical Affairs workflow — so inquiry response, evidence intelligence, field insights, content and analytics all draw on the same source-grounded, human-reviewed evidence.
The backbone
An approved knowledge repository, retrieval-augmented generation with cited evidence, prompt governance and output controls, audit trails, and role-based access by workflow.
Approved sources
Medical information databases Publications & PubMed Congress materials SOPs & reviewed content Trial summariesGoverned core
Controlled outputs
Medical information drafts Literature alerts Field call support Content generation Evidence dashboardsIn detail
The shared control plane for Medical Affairs AI — the reusable environment, approved knowledge layer, access controls and validation documentation that enable every downstream workflow.
Retrieval-augmented generation · scientific question answering · automated evidence retrieval · compliance-controlled outputs.
Automates intake-to-draft while preserving expert approval: intake, triage and duplicate detection, evidence retrieval, response drafting with citations, escalation guidance, and human review before send.
A medical reviewer remains accountable for the final scientific response.
Converts external signals into leadership-ready alerts. Continuous monitoring of PubMed, congress abstracts, competitor publications, guidelines and safety updates replaces manual scanning.
Monthly landscape report · expert-specific alerts · competitor movement · safety-signal watchlist.
Turns field engagement into a near real-time insight network: pre-call briefings, in-call prompts and capture, post-call note generation and insight extraction — aggregated across region, therapeutic area, topic and competitor.
A searchable scientific intelligence network for Medical Affairs leadership.
A controlled production line — request, AI-assisted draft, medical/legal/compliance review, publish, reuse. AI accelerates drafting, but mandatory human review remains the release gate for regulated content.
Slide decks · scientific narratives · congress summaries · newsletters · training materials.
Surfaces gaps and research opportunities — converting evidence patterns, investigator activity and publication coverage into planning recommendations, evidence heat maps and gap-analysis dashboards.
Where evidence is thin · which investigators are emerging · which topics deserve priority.
Makes regulated AI repeatable: GxP assessment and risk classification, AI validation protocols, hallucination testing, prompt governance, audit logging, and legal/compliance review.
AI outputs should be reviewable, testable, logged and governed before they become standard work.
Turns pilots into standard work through role-based training, certification, prompt discipline and leadership cadence — awareness, skill building, workflow use, certification, governed recurring use.
Move from experimentation to standardized use with clear ownership and review expectations.
Premium add-ons
Executive-visibility modules added after the governed core is in place.
Large-screen hub for scientific activity, expert engagement, publications, congress intelligence, inquiry volumes and safety signals.
A model fine-tuned on historical inquiries, internal content, therapeutic-area literature and approved communications.
Knowledge maps of experts: research interests, publications, congress activity, networks and influence trends.
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.
