Features
Indication prioritization with scored shortlists
Target and modality assessment (druggability, tractability, FTO)
Biomarker and patient selection from genomic/proteomic evidence
Clinical trial design (adaptive design, endpoint strategy, sample size)
Competitive intelligence synthesis
Regulatory gap analysis (IND, safety summaries)
MoA elucidation and target ID
Lead optimization and CMC support
TPP and valuation summaries
Reproducible code and validation protocols
No training on customer data
Supports any therapeutic area and modality
Discovery through commercialization support
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
