Features
Natural language querying of clinical data
Automated literature review for evidence grounding
Cohort building with temporal data mapping
Causal DAG builder with user review
Statistical Analysis Plan (SAP) generator
Data extraction and transformation to OMOP CDM
Sandboxed execution of statistical code
Report writer producing publication-ready outputs
Target trial emulation for comparative effectiveness
Survival analysis with Kaplan-Meier and Cox models
Propensity score matching and weighting
Sensitivity analysis and empirical calibration
Self-improving agents that learn dataset structure
Auditable trace from raw data to results
Support for R, Python, and SAS code generation
Real-world data from millions of oncology patients globally
Flatiron Telescope AI platform for rapid oncology insights
LLM-based thematic analysis of clinical trial discussions
ML models predicting rapid progression in HR+/HER2- metastatic breast cancer
Real-world biomarker testing and outcomes studies
Point-of-care clinical decision support
Regulatory-grade real-world evidence generation
Cancer-specific data abstraction and curation
Custom study design and analytics services
Data quality assurance and validation processes
Multi-cancer type cohort identification
Publication support – over 2,000 peer-reviewed papers
49+ research acceptances at ASCO 2026
Integration with life sciences workflows
Professional services for research collaborations
Integrations
Electronic Health Record (EHR) systems
Laboratory information systems
Clinical trial management systems
Research data repositories
Genomic sequencing platforms
