Features
AI-powered prediction of optimal delivery parameters
Support for DNA, mRNA, siRNA, and CRISPR payloads
Coverage of over 500 cell types including primary and stem cells
Electroporation and lipid nanoparticle protocol recommendations
Viral vector design suggestions (AAV, lentivirus)
Experimental data ingestion to improve models
Collaborative workspace for teams
Integration with common lab data formats
Protocol versioning and sharing
Usage analytics dashboard
Community-driven protocol database
Autonomous hypothesis generation with agentic AI
Multimodal patient data integration (spatial, multi-omics, clinical)
Clinical trial design and patient stratification
Patient and population analytics
Early portfolio decision insights
Patient validation through wet lab infrastructure
Target ID engine distinguishing novel from rediscovery
Collaborative network of 30+ academic centers
Multi-year partnership with Sanofi for custom AI agents
NVIDIA collaboration for biological benchmark testing
Narrows search space in aging research
K Pro connected to front-end user feedback
Support for antibody-drug conjugate development via spatial biology
