We help emerging and established life sciences companies identify where and how to grow.

Through data-driven market sizing, pipeline mapping, and unmet-need analysis, we uncover the most attractive therapeutic, geographic, and partnership opportunities. Our structured frameworks translate complex scientific and commercial data into clear, actionable strategies that guide investment, portfolio focus, and long-term value creation. Examples of specific services include:

Market Opportunity Sizing
Comprehensive quantification of addressable and serviceable markets across therapeutic areas, modalities, and geographies. Our analyses integrate epidemiological data, treatment penetration rates, and pricing assumptions to build robust market models that support investment and portfolio decisions.

Unmet Need and Differentiation Analysis
Systematic identification of patient, clinician, and payer pain points to reveal areas of high unmet need. We assess existing treatment paradigms and emerging innovations to define differentiation levers that strengthen product positioning and value narratives.

Portfolio Prioritization and Optimization
Evaluation of in-house and partnered assets across scientific potential, commercial attractiveness, and development feasibility. We use risk-adjusted frameworks to guide resource allocation, ensuring balanced portfolio growth across early and late-stage programs.

Indication and Geographic Expansion Strategy
Structured assessment of new indications, subpopulations, or regional markets that align with a company’s strategic focus. Analyses consider regulatory requirements, payer environments, and clinical development hurdles to inform expansion roadmaps.

Go-to-Market and Launch Planning
Development of commercialization roadmaps that connect product value to stakeholder adoption. We define market entry sequencing, stakeholder engagement strategies, and data generation plans that prepare assets for successful launch.

Strategic Scenario Modeling
Construction of dynamic models to test strategic options under varying competitive, regulatory, and pricing conditions. This approach enables leadership teams to compare trade-offs, anticipate inflection points, and make data-driven investment choices with confidence.