Flatiron Health
Real answers to guide oncology's highest-stakes decisions using AI and real-world data
Enterprise·All audiences·Powered by Proprietary LLM / ML models·API available
Key strengths
High-fidelity real-world oncology data from millions of cancer patientsAI and LLM-powered insights combining machine expertise with human validationInforms 2,000+ peer-reviewed publications in oncology researchServes both life sciences organizations and point-of-care clinical settingsFlatiron Telescope platform delivers oncology insights in minutes
Enterprise pricing
New York, USA
Founded 2012
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Technical Integration & Platform Overview
Flatiron Health's platform is built around a high-fidelity oncology data pipeline that ingests clinical data at the point of care and processes it through proprietary AI/ML systems.
Key technical components:
- Real-World Data (RWD) Engine — Captures structured and unstructured data from EHRs across a large network of oncology practices, then curates it into research-ready datasets.
- LLM-Based Analysis — Deployed for tasks such as thematic analysis of landmark clinical trial discussions (demonstrated at ASCO 2026), enabling large-scale qualitative research automation.
- ML Prediction Models — Includes models for predicting clinical outcomes such as rapid disease progression in HR+/HER2- metastatic breast cancer patients on CDK 4/6 inhibitors.
- Flatiron Telescope — A newly launched AI platform that aggregates and synthesizes oncology data to produce actionable insights within minutes rather than weeks or months.
- Biomarker Data Integration — Incorporates real-world biomarker testing rates and targeted therapy usage data, enabling precision oncology analytics.
- API & Data Access — Enterprise clients can access curated oncology datasets and analytics outputs; technical integration specifics are scoped during onboarding.
Contact Flatiron's technical team for API documentation, data dictionaries, and integration specifications relevant to your research or clinical workflow.
