Decision Intelligence for Healthcare & Life Sciences.
End-to-end intelligence platforms and custom AI systems across the healthcare and life sciences value chain — pipeline, trials, deals, patents, competition, market access, digital health and elder care.
Three layers, one decision system.
Off-the-shelf intelligence won’t solve a defensible decision. We compose platforms, models and data pipes that map to how your team actually buys, builds, prices and partners.
Intelligence Platforms
Pipeline, deal, competitive and market dashboards unified in one decision system — built on your taxonomy and KPIs.
Custom AI Solutions
Predictive, scenario and forecasting models tailored to your portfolio: trial success, NPV, pricing, deal scoring.
Data Integration Systems
Connect EHRs, claims, trials, deal feeds, patents, internal CRM and finance into one source of truth.
Eight intelligence categories across the value chain.
Each category is built around a specific decision your team has to make — not a topic. Pick the one closest to your role.
Pharma & Biotech Intelligence
Pipeline, therapy area, biotech landscape and R&D trends — for strategy, BD and investors.
Clinical & R&D Intelligence
Trial tracking, performance, recruitment intelligence and AI-powered trial optimization.
Deals & Investment Intelligence
M&A, licensing, startup intelligence and investment trend signals — for VC, PE and BD.
Patent Intelligence
Patent expiry, generic entry, biosimilar opportunities and IP strategy intelligence.
Competitive Intelligence
Company profiling, pipeline-vs-pipeline comparison and live market positioning monitoring.
Market Access & Commercial Intelligence
Pricing, reimbursement, market entry strategy and launch analytics across geographies.
Digital Health Intelligence
Telemedicine, AI in healthcare, remote monitoring and health-data platform intelligence.
Agetech & Senior Living Intelligence
Facility intelligence, occupancy & pricing, care models and agetech innovation tracking.
Questions our platforms answer.
Every engagement starts with a real, expensive decision — and ends with a system your team can run without us.
Combine pipeline, competitive landscape, epidemiology and forecast curves into a risk-adjusted opportunity score per asset.
Score targets on pipeline fit, deal benchmarks, valuation comps and integration risk — surfaced as a live dashboard.
Triangulate market access, reimbursement, pricing and competitor positioning country-by-country.
Predict site performance using historical recruitment, density of eligible patients and competing trials in geography.
Monitor expiry cliffs, generic and biosimilar entry windows, and IP whitespace by therapy area.
Track adoption, funding and clinical evidence for telehealth, AI diagnostics, RPM and data platforms.
Custom Healthcare Intelligence & AI Solutions
Beyond off-the-shelf dashboards: tailored intelligence systems built on your data, taxonomy and decisions. Internal research portals, predictive engines, deal pipelines and risk-scoring models — owned by your team.
- Internal research and intelligence portals
- Pipeline, deal and KPI dashboards
- Data integration across EHR, CRM, trials, deals
- Predictive models for trials, NPV, pricing
- AI risk scoring and portfolio prioritization
- API + automation between fragmented systems
Reading we recommend.
Building internal pharma intelligence platforms
Reference architecture for a defensible, in-house intelligence stack.
ReportAI for clinical trial success prediction
How predictive models change Phase 2/3 go/no-go decisions.
BriefReplacing Excel with decision dashboards
A 90-day path from spreadsheets to a defensible decision system.
Common questions.
How is "decision intelligence" different from market research?
Market research delivers data and slides. Decision intelligence delivers the system, model and dashboard that produces a defensible answer the next time you have to make the same kind of call.
Which categories do you cover?
Eight: pharma & biotech, clinical & R&D, deals & investment, patents, competitive, market access, digital health and agetech. Each has its own pillars and decision questions.
Can you work with our internal data?
Yes. The custom-AI layer is purpose-built for that — combining internal CRM, ERP, clinical and competitive data with external feeds (deals, patents, trials).
Do you also produce one-off reports?
Yes, but only as a stepping stone toward a system. Most engagements end with a platform your team can operate without us.
What does a typical engagement look like?
Discovery (1–2 weeks) → working prototype on your data (4–8 weeks) → production system + handover (8–16 weeks). Scope and modality vary by category.
Defensible decisions. On your data.
Tell us the next decision your team has to make. We’ll show you the system that makes it repeatable.