Features
Fully automated wet-lab for binding, expression, and thermostability assays
Turnaround time under 3 weeks from sequence design to experimental data
Clean, labelled data packages suitable for AI model training
Comprehensive API for programmatic experiment creation, tracking, and data retrieval
Transparent per-protein pricing with cost estimates via API
Real-time experiment progress tracking and email notifications
Integrated analysis tools to view results, export raw data, and track historical performance
Target catalogue for pre-validated targets (library or ship your own)
Direct integration with Benchling via Direct Ordering Partners
Supports screening and full affinity assay resolutions
Hands-off automated lab operation ensuring consistent results
Secure digital submission of protein sequences
Supports up to 768 proteins per experiment with 2 replicates included
Thousands of targets tested and binding curves generated
LLM agent compatibility demonstrated in hackathons
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
