Built for Commercial and Medical Affairs Leaders who own the answer their CCO and CMO ask for. Three modular layers — data curation, specialist agents, and the storyboard — that work together or stand alone. Take just the curated data foundation, just the agents, just the storyboard, or the whole stack.
Whether the deliverable is a launch forecast, a digital twin, a publication plan, or an advisory board synthesis, the same three things break the work — across both functions.
"The consultants own the work — and the next invoice."
The forecast, the digital twin, the publication plan, the AdBoard synthesis — it leaves the room when they do. You pay again for every refresh, every revision, every scenario. Institutional knowledge never lands in-house.
"It's an eight-week build that breaks in two days."
Fourteen linked Excel tabs, a brittle assumption layer, and one analyst who knows where the bodies are buried. When the Leader needs a sensitivity for the CCO review, it starts over.
"Medical content gets stuck in MLR with no shared workspace."
Every publication, MIR response, and AdBoard summary loops through medical review with no shared workspace, no provenance trail, and no way to surface the same insight the next time it's needed.
OBI-HUI sits between your team's modeling work and your CCO and CMO reviews. The Commercial Leader walks in with one number. The Medical Affairs Leader walks in with one evidence map. The directors who built the work still own it — OBI-HUI just makes their work shareable, traceable, and signed off.
Demand Forecasting · Whitespace/Competitive Intelligence · Customer Insights
Evidence Synthesis · KOL Engagement · Medical Communications
Three representative results from pilot engagements. Numbers shown are illustrative ranges from in-flight programs — final figures shared under NDA on request.
"I used to walk into the CCO review with five forecasts that didn't tie. Now I walk in with one. The directors still own the work — I just don't have to reconcile their assumptions by hand at 11pm anymore."
— Commercial Leader, top-20 pharma (anonymized)
OBI-HUI is built in three layers that interlock — and unbundle. A shared bedrock of curated data. Named specialist agents that work on it. A storyboard where directors interact with the data and senior leadership consumes the signed-off narrative. Engage one layer, two, or the whole stack — each ships standalone, and snaps into the others when you're ready.
One foundation every app sits on — so every agent, director, and dashboard reads the same ground truth.
No "AI" black box. Every agent is scoped, sourced, and signed off.
One surface, two altitudes. Directors work the data; executives read the signed-off story.
Data flows up. Sign-off flows down. Every figure traces from a source through a specialist agent, through a director sign-off, into a workflow orchestrator, up to the Leadership Team
Each layer ships standalone or as a stack. Buy just the curated data foundation, just the specialist agents, just the storyboard — or interlock all three into one CCO/CMO-grade workflow.
One pipeline carries unstructured and structured evidence from raw to curated — ingestion, chunking, taxonomy, SME review — and lands in a single semantic layer that agents and the storyboard read from.
Unifies unstructured + structured evidence into one analyzable surface.
Four retrieval layers for unstructured content: turn-level, within-respondent, cross-respondent, propositional index.
Seven sections × three tiers — rule-based, embedding, LLM — with confidence-driven auto-approval.
See it run: Automated Ingestion · Confidence & Review · Claims → OMOP Harmonization · Backfill at Scale · Walkthrough · Sandbox (BYO files).
Open the data layer →Named agents built by people who have done this work by hand — each carries the context, source maps, and sign-off rules for its job. Two tenants, one semantic layer underneath, eleven apps on top.
Full provenance — Powered by, Reads from, Signed off by, Feeds — lives in Methodology and the tenant firewall.
The live view a CCO, franchise lead, or TA head opens each morning — composed per team from Forecasting, Whitespace, Patient & Market Insights, Evidence & Publications, and KOL Engagement. Three decision functions sit on top: the things that turn a dashboard into a decision.
From target to assumptions
Inverts any target into the assumptions required to hit it — and flags which beliefs sit outside the evidence band.
From strategy to verdict
Runs strategies against synthetic HCP and patient cohorts before commit — returns a referee verdict with the cohorts and assumptions behind it.
From gap to hypothesis
Takes a revenue or share gap and proposes ranked hypotheses with supporting signal, target cohorts, and estimated impact ranges.
From scientific objective to evidence map
Inverts a publication, congress, or label objective into the evidence, studies, and KOL alignment required to land it — flags gaps before the plan goes to the CMO.
From narrative to KOL verdict
Runs a medical narrative against synthetic KOL panels grounded in each KOL's published positions and conference history — returns predicted response with the citations behind it.
From clinical question to ranked gaps
Decomposes a clinical or scientific question into the evidence gaps that matter — proposes ranked publication, study, and IIT hypotheses with estimated impact on the medical narrative.
Same audit log — click any number and walk the chain back through orchestrators, agents, and licensed sources.
A plain-language map of the data sources, models, and guardrails behind every figure — so your team can trust the answer and defend it to anyone who asks.
Promotional and non-promotional work cannot share data, agents, prompts, or audit trails. The separation is contractual, technical, and visible in the product — not a policy memo. Commercial is sold to the CCO via the Commercial Leader. Medical Affairs is sold to the CMO via the Medical Affairs Leader. Shared platform infrastructure; isolated tenant runtime.
A short, honest answer to each. Full security pack and architecture diagram available on request.