Powering pharma innovation with agentic AI.
At the heart of the platform are Therapeutic-Area-specific AI foundation models that ingest and process vast amounts of clinical trial and real-world data, with no data engineering or model development required from your team.
The Agentic Prediction & Simulation Engine.
Aggregates Multi-Modal Data
Proprietary real-world & trial data, external real-world & trial data, and synthetic data for augmentation, unified into one pipeline.
Integrates Patient History
An AI reading agent builds a full treatment narrative and trajectory per patient from longitudinal records and clinical notes.
Orchestrates Disease-Specific Models
Multiple candidate models are trained per therapeutic area; the best model orchestration agent selects automatically via KCV.
Generates Digital Twins
Simulates each patient under alternative therapies for individual- and cohort-level "what if" comparisons.
KCV: one score that balances accuracy against trust.
Every candidate model (XGBoost, LightGBM, Random Forest, CatBoost, and more) is trained and scored with the KolateAI Composite Value (KCV), which balances AUC, F1 score, accuracy, and feature explainability into a single number. The best-fit model is selected automatically, and its top predictive features are surfaced for clinical review, so your team never has to be the one deciding between a marginally-more-accurate model and one that's actually explainable.
Back-tested, not just benchmarked.
KolateAI's TA-specific AI foundation models are validated by back-testing against completed clinical studies, not just held-out splits of the same dataset, before they're ever used prospectively.
Proprietary Data
Real-world (EHR, claims) and trial data contributed directly by design partners (including clinical practices and payers) under data use agreements.
External Data
Already fully integrated with restricted access registries like NIH All of Us and MIMIC-IV (Beth Israel Deaconess Medical Center / MIT), as well as public registries like CDC's NHANES. Also optionally integrates with clients' trial and real-world data under data use agreements.
Synthetic Data
Used only to augment the depth and breadth of our datasets, never as a substitute for real patient signal.
See the platform engine on your own program.
We'll walk you through this exact engine in a working session: Data, Studies, Predict, and Compare.
Submit your request