From trial design to approved therapy
Intelligent trial design, predictive enrollment, regulatory automation, and a clinical data marketplace — unified.
10x
Faster protocol design
60+
Day enrollment lookahead
$68B
Addressable market
24/7
Autonomous monitoring
The Problem
$2.6B and 12 years to bring one drug to market
Disconnected tools, manual workflows, and data that never gets reused.
80%
of trials face enrollment delays
37%
of sites miss enrollment targets
$40B+
in trial data goes unused annually
Capabilities
One platform for the entire trial lifecycle
AI Trial Design
Adaptive, non-inferiority, and equivalence trials with Bayesian optimization.
Enrollment Intelligence
ML-powered site scoring, predictive modeling, and dropout risk analysis.
Regulatory Copilot
Automated IND/NDA/BLA gap analysis across FDA, EMA, and ICH.
Adaptive Analytics
Biomarker-guided interim analyses. Know when to stop, adapt, or continue.
Data Marketplace
Tokenized datasets with provenance, fractional licensing, and institutional access.
Autonomous Agents
AI agents that monitor trial health and optimize operations 24/7.
CTOS
Every capability, working together
Not a collection of tools — an integrated intelligence layer connecting design, execution, compliance, and monetization.
“What should I do next — and what will it cost me if I don't?”
Learn about CTOS
Built for Healthcare
Purpose-built for clinical research
Every engine built from zero at GWU's School of Engineering. Vertically integrated — no third-party API assemblies.
8 filings
Patent-pending IP
FDA / EMA / ICH
Regulatory coverage
GWU SEAS
Research origin
First T2T
Data exchange
Ready to see it?
Personalized demos for sponsors, CROs, and research sites.