Pipeline, trials, deals, competition and market — in one decision system.
Where to invest, who to acquire, which drug will win — answered defensibly.
Seven intelligence pillars purpose-built for strategy, BD, R&D and investor teams. Move from static reports and disconnected feeds to a live, scenario-driven decision engine.
The reality: Most pharma decisions are made with fragmented data, outdated reports, and disconnected teams. This replaces that.
- VP / Head of Strategy
- Business Development & Licensing
- R&D Portfolio leaders
- Therapy Area heads
- Competitive Intelligence
- Pharma-focused VC / PE
"Where should we invest, partner and compete next?"
These numbers explain why pharma strategy teams are re-tooling right now:
The market is moving faster than annual reports can track. Teams that build always-on decision systems win the allocation.
Not a research feed. A decision system.
IQVIA, Evaluate and Cortellis give you data. We give you the system that turns it into a defensible decision.
We don't ship another PDF. We ship the dashboard, model and pipeline that produces every future answer.
Connects to your CRM, finance and clinical systems — overlaid with our pharma-specific intelligence layer.
Live patent, deal, trial and pipeline feeds — refreshed continuously, not annually.
Every output is scored, sourced and auditable. Defensible in an investment committee, not just a strategy offsite.
How Pharma Teams Make Strategic Decisions
Seven decisions, in sequence — from spotting where the market is growing to making the final IC call. Each step has the data, models and dashboards your team actually uses.
Understand Where the Market Is Growing
Pinpoint which therapy areas, modalities and geographies are expanding — and where capital should land.
Live market sizing and segmentation across therapy areas, modalities and care settings.
Decision modules in this step:
Find Where the Real Unmet Need Is
Map disease burden, patient journey and unmet need — so you back indications with the largest underserved population.
Demand-side intelligence: epidemiology, patient flow and treatment guideline gaps.
Decision modules in this step:
Identify Which Drugs Will Win
Score drugs in development, project launch dates and benchmark trial success — so you bet on the right asset.
Pipeline analysis, candidate scoring and trial-readiness signals — for asset-level decisions.
Decision modules in this step:
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Track What Competitors Are Doing — Right Now
Live competitor profiling and pipeline-vs-pipeline benchmarking — so your strategy isn't built on stale assumptions.
Real-time competitive intelligence across pipelines, pricing and innovation signals.
Find Where Capital Is Moving
M&A, licensing and partnership intelligence — so you know who is buying, what they're paying and where to bid.
Asset-, company- and portfolio-level deal intelligence.
Decision modules in this step:
Forecast Outcomes — Defensibly
Defensible base / upside / downside forecasts and scenario planning — so your IC sees ranges, not single-point optimism.
Scenario forecasting, pricing impact, technology adoption curves and prioritization frameworks.
Decision modules in this step:
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Make the Decision
The system pharma teams use to evaluate every asset, indication and BD opportunity — defensibly, repeatedly.
The decision intelligence engine: scoring, valuation, prioritization and the dashboards that operate it.
Decision modules in this step:
Sample decisions, sample outputs.
Real questions our pharma clients brought us — and what the delivered system looks like.
“Which of our 14 early-stage assets should we advance to Phase 2 — and which should we kill?”
A scored asset-ranking dashboard with rNPV, competitive density, unmet-need index and a recommended fund / hold / kill action per asset.
Pipeline DB · rNPV model · Competitive-density index · Tableau dashboard
“Is this licensing deal priced fairly — or are we overpaying?”
A deal-comparables model benchmarking upfront, milestones and royalties against 120+ recent deals in the same TA and phase.
Deal intelligence feed · Benchmarking model · Scenario simulator
“Should we enter the GLP-1 obesity market — and if so, where?”
A market-sizing model with base / upside / downside scenarios, competitive-launch timeline overlay and geo-prioritisation matrix.
Epi data · Forecast engine · Competitive tracker · Decision matrix
Custom Pharma Intelligence Systems
Pipeline tracking systems, clinical dashboards, deal intelligence platforms and AI forecasting tools — built on your data and decisions.
Discuss a custom buildFrequent questions.
Is this a research service or a platform?
It’s a platform play. We deliver the dashboard, model and pipeline that produces every future answer — not just one report.
Which therapy areas do you cover?
All major TAs (oncology, cardio, immunology, CNS, rare disease, metabolic, infectious) plus emerging modalities (mRNA, cell & gene, ADCs).
Can it integrate with our existing data?
Yes — most engagements include integration with internal CRM, finance and clinical systems alongside external pipeline, deal and patent feeds.
How quickly can we start seeing decisions?
A working prototype on real data is typically 4–8 weeks. Production system follows in 8–16 weeks.
Bring one decision. We'll show you how to answer it.
Walk us through the question your team is stuck on. In one session we'll outline the data, model and dashboard that turns it into a defensible answer — and what shipping that system looks like.
Bring your decision30-min working session · No slides · Outcome in the room