Features
AI-predicted AAV capsid design with novel tropisms
Promoter optimization for cell-type specificity
Guide RNA design for CRISPR-based therapies
Toxicity prediction for molecular constructs
Delivery vehicle optimization (AAV, LV, non-viral)
Collaborative project workspaces
Access to proprietary biological datasets
Integration with common lab data formats
In silico construct validation before synthesis
Off-target prediction for gene editing
Target receptor identification for viral vectors
Payload design for gene therapies
Bioproduction optimization for AAV and LV
Cell therapy (CAR design) support
Multi-modal design (AAV, lentivirus, nanoparticles)
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
