Features
FHIR-native RESTful API for patient medical data
Access to 300M+ patient records via U.S. HIEs
AI-generated Medical Record Summaries (human-readable)
Real-time patient notifications (discharge, lab results, pharmacy)
No-code provider dashboard for record access
Data mapping engine with medical code crosswalking
Support for HL7 FHIR R4, C-CDA, and PDF formats
Embeddable EHR apps for athenaOne, Elation, Canvas
Open-source code on GitHub (MIT license)
Public developer SDKs (Node.js, Python, etc.)
Sandbox environment for testing
SOC 2 Type II and HIPAA compliant
End-to-end encryption, MFA, VPN support
Single integration instead of multiple EHR connections
24/7 customer support via in-app chat and email
Proprietary Recursion OS platform for drug discovery
Automated wet lab generating millions of cell experiments per week
Over 50 petabytes of biological and chemical data
NVIDIA BioHive-2 supercomputer for AI model training
Hit identification to IND-enabling studies with improved speed and cost
Potential first-in-class treatments in oncology and rare diseases
Advanced pipeline with phase 1/2/3 clinical trials (REC-4881, REC-3565)
Target identification and validation using machine learning
Generative AI for molecule design and optimization
De-identified patient data integration for precision medicine
Strategic partnerships with pharma and tech leaders
End-to-end drug development capability from preclinical to pivotal studies
Fit-for-purpose dataset generation including ADME and safety profiling
Real-world evidence generation through clinical trials
Continuous feedback loop from experiments into AI models
