Context AI/
Launch Intelligence Platform

Launch Intelligence Platform

An AI-enabled decision intelligence solution that connects epidemiology, market, product, and event intelligence, moving launch teams from static forecasts to dynamic, scenario-based decisions.

35%
Less forecast consolidation time
65%
Faster scenario simulation
30%
Higher forecast accuracy
25%
Improved peak share capture
BUSINESS PROBLEM

Challenges We Solve

Pharma launch teams manage growing complexity with fragmented data and static tools. These six pain points lead to forecasting inaccuracy, reactive decisions, and missed peak-share opportunity.

1. Commercial AI
1. Commercial AI
1. Commercial AI
Fragmented Launch Data

Epidemiology, market, and pipeline data live inseparate sources with no unified view.

Static Excel-Based Forecasting

Spreadsheet models are hard to scale, standardize, or update as conditions change.

Limited Scenario Simulation

Teams can't quickly test competitor launches, access delays, or guideline shifts.

High Launch Uncertainty

Competitive entries, access variability, and guideline changes make forecasts volatile.

Disconnected Tools & Slow Testing

Forecasting, market research, and CI tools operate in silos, slowing every planning cycle.

KEY CAPABILITIES

Platform Modules

Six modules form an end-to-end launch intelligence platform. They are fully integrated, and each can also run as a standalone module.

1. Commercial AI
1. Commercial AI
1. Commercial AI
Epidemiology & Patient Flow Modelling

Quantifies the patient journey from incidence to treatment, identifying eligible populations and key drop-offs that drive market opportunity.

Market Intelligence

Provides a validated, multi-source view of epidemiology, market size, and the treatment landscape to ground every forecast in real-world data.

Product Intelligence

Models uptake, persistence, and switching behavior, benchmarked against analogue products and clinical differentiation.

Event Intelligence

Tracks competitor launches, guidelines, LOE, and access decisions that dynamically impact forecasts.

Scenario Simulation

Enables interactive what-if analysis by adjusting clinical, access, competition, and pricing drivers to see the impact on share and revenue.

Launch Sequencing

Optimizes market entry using multi-factor scoring across market potential, access, competition, and readiness.

BUSINESS OUTCOMES

Measurable Outcomes

4–8 weeks
Earlier detection of competitive signals versus traditional monitoring
45%
Less reactive re-forecasting effort
4x
More scenarios tested per planning cycle
~30%
Lower forecast variance from access gaps

FAQs

Who is this solution designed for?

Global brand heads, franchise and BU heads, forecasting teams, commercial strategy and insights, competitive intelligence, market access, pricing and reimbursement, and launch excellence teams.

Does it replace our forecasting or analytics teams?

No. It augments them by standardizing data, automating scenario analysis, and supporting decisions, while teams continue to own assumptions, validation, and strategic interpretation.

How reliable are forecasts with so many assumptions?

The platform combines validated data sources, analogue benchmarking, and calibrated models. All assumptions are visible and testable, and users can run multiple scenarios to manage uncertainty.

We already have forecasting models in Excel. Why change?

Excel models are useful but static. The platform builds on them with real-time scenario simulation,cross-market standardization, and clearer visibility into key drivers.

Is it too complex for business users?

No. Intuitive dashboards and guided simulations let users focus on decisions rather than model mechanics, while advanced layers stay available for expert users.

Blogs

Insights & Resources

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Move from Static Forecasts to Launch Intelligence

Simulate competitor launches, access delays, and guideline shifts in hours and make faster, better-informed launch decisions.