AI-powered solutions for the full drug clinical lifecycle.
KolateAI offers a range of AI-driven solutions designed to optimize drug development from clinical trials to real-world studies. Explore what each product does and how it drives efficiency, better outcomes, and faster time-to-value.
KolateAI Predict
A targeted tool to predict patient-level clinical outcomes: drug response, adverse events / serious adverse events, and disease risk, before they happen. Every candidate model is scored with KCV, a composite value balancing AUC, F1, accuracy, and explainability, so the best-fit model is selected automatically.
KolateAI Compare
Seamless emulated head-to-head comparison of alternative therapy options. Digital twins re-run the winning model as if a patient, or a whole cohort, had received a different therapy, generating synthetic control arms without a new prospective trial.
KolateAI Co-pilot
Effective study management leveraging an interactive Co-pilot for real-time queries related to predictions, study actuals, and study documentation: protocols, patient narratives, and more. Built for study physicians and scientific staff, not data scientists.
Applications across the clinical lifecycle.
Trial Enrichment
Identify best-fit patients based on predicted outcomes, significantly reducing trial failure rates.
In-Silico Therapy Comparison
Synthetic control arms and head-to-head comparisons: no new prospective trial needed to generate differentiating evidence.
Patient Screening
Match patients to the therapies most likely to work at the point of care, maximizing value capture for approved drugs.
Three things no one else offers together.
Patient-Level Predictions
Precise insight into patient-specific outcomes, not population averages, so you target the right patient, not just the right cohort.
TA-Specific Platform
Disease- and therapy-specific foundation models, not one generic model stretched across every indication.
Unique Models & Data
Proprietary, external, and synthetic real-world & trial data, unified by multi-modal data ingestion & inference: structured records, clinical notes, and images processed into one model-ready pipeline.
"We learnt something new about our drug: that it directly benefited certain metabolic syndrome patients, while making the condition worse in others, and are now able to target the right patients for our upcoming clinical trial."
"KolateAI made it simple for us to generate RWE comparing our new drug with prior alternatives, using their head-to-head therapy comparison tool."
Common questions.
Biotech and pharma clinical development, medical affairs, and HEOR teams; academic and medical research centers running observational studies; and medical device companies needing patient-level outcome evidence.
Across the full lifecycle: protocol design and trial enrichment before enrollment, in-silico therapy comparison during a trial, and patient screening for point-of-care and marketing use after approval.
Trial enrichment, synthetic control arms and head-to-head therapy comparisons, point-of-care patient screening, and proactive study management via Co-pilot.
Phase 2 and Phase 3 interventional trials, real-world evidence studies, and retrospective observational cohorts, validated to date in immunology, dermatology, oncology, and metabolic disease.
Proprietary real-world data, external real-world and trial data, and synthetic data for augmentation, spanning structured EHR/EDC records, clinical notes, and, in future phases, pathology and imaging.
Ready to optimize your drug with precision medicine?
Contact us to schedule a working session on your next study.