Making Medical Knowledge Computational
Actionable, transparent intelligence
Healthcare has more data than ever, but medical knowledge is not computational by default. This limits its precision, clarity and usability.
Guidelines, research papers, clinical notes and claims do not represent all the dynamics of a person’s health and the system of care around them. Large language models can discuss this knowledge. We enable organizations to run calculations and compute on it objectively.
Our computational AI allows healthcare experts to understand where patients are today, how their conditions are changing, and which actions matter - in order to support, not replace, expert judgment.
Every insight is traced to clinical evidence and real-world events. These insights drive improved individual health, proactive financial forecasting and more informed clinical choices. This leads to targeted interventions that better improve clinical and financial outcomes.
Who we serve
Supporting experts across the healthcare ecosytem in reasoning and decision-making
Self-Insured
Earlier forecasting of disease progression and cost trajectories to anticipate severity and financial volatility. Help employees get the right care when they need it.
Align financial planning, stop-loss strategy and reserve confidence with clinical reality. Reduce high-cost claims and risk exposure to improve long-term cost stability and employee health.
Health Plans
Strengthen margin stability with care and cost modeling that allows payers to address disease progression across populations. Drive better member health by aligning clinical insight with timely, targeted action.
Connect clinical and claims insight to improve pricing precision, risk alignment and performance across lines of business.
Hospitals and Health Systems
Advance quality and care delivery through trajectory-based patient insight.
Enable earlier intervention, stronger guideline adherence and coordinated care across complex longitudinal treatment journeys.
Research & Therapeutic Strategy
Accelerate scientific understanding by modeling disease progression and therapeutic impact.
Support computational analysis of treatment response, inform assessment of emerging therapies and novel care strategies, and expand real-world evidence generation across evolving standards of care.
Our mission
Our mission is to scale explanatory medical knowledge to support better decisions, research, and care provision.