Features
Access novel pre-clinical and medical datasets
Causal inference capabilities
Generate data points for pre/post training
Build reinforcement learning environments for post-training
Annotate novel or public data
Multi-agent reasoning infrastructure
EHR, labs, imaging, ECGs, notes, audio, outcomes data
Domain-specific dataset curation
Data-rich reward function crafting for RL
ML-ready healthcare data sourcing and structuring
Custom data fine-tuning and deployment support
Real-world clinical evidence enrichment
Labeled waveform data (e.g., ECGs) for AI training
Data provenance and quality assurance
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
