Quantitative Strategy Practice
Modeling uncertainty. Clarifying feasibility. Guiding translational decision-making.
We combine data science, translational insight, and capital strategy to quantify what’s often treated as qualitative. Our methods help deep-tech and life-science ventures make better decisions, faster — where risk, capital, and innovation intersect.
Core Capabilities
Technical & Commercial Diligence
We translate scientific complexity into quantitative risk and value frameworks. From technology readiness to commercial fit, we model feasibility and investment implications.
Translational Readiness Planning
We design evidence-based roadmaps linking preclinical milestones, regulatory strategy, and funding cadence to accelerate time-to-proof.
R&D Portfolio Modeling
Using probabilistic and Monte Carlo methods, we forecast technical success, capital burn, and milestone value—helping clients allocate resources with precision.
AI-Enabled Decision Systems
We architect data pipelines and automation workflows that turn experimental data into living, iterative decision tools.
A disciplined framework for complex decisions
Every engagement follows a structured but flexible three-phase approach. We quantify the unknowns, model the feasible, and align execution with capital realities.
1 — Define the unknowns
Identify the technical, regulatory, and financial uncertainties that constrain decision-making
2 — Model risk and feasibility
Use data and simulation to evaluate possible futures and their probability-weighted outcomes.
3 — Translate into strategy
Convert analytical insight into actionable roadmaps that guide investment and execution.
Applied example: Translational modeling for an implantable optical therapy
We developed quantitative light-tissue interaction models to assess preclinical dosing feasibility for a novel intracranial photodynamic therapy platform. The outputs guided both technical design and SBIR Phase I proposal strategy, aligning scientific milestones with capital planning.
Insights & White Papers
Our forthcoming series explores frameworks for quantifying translational risk, modeling R&D value, and building data-driven diligence systems.
Join our mailing list to receive new publications as they’re released.
Let’s model what’s possible
Whether you’re evaluating an early-stage technology, mapping R&D investment risk, or seeking a data-driven diligence partner, we help you move from complexity to clarity.