Intelligent Trial Design & Real-Time Operations
Business Challenge: Clinical trials cost $1–2B+ per asset, take 6–7 years, and ~80% miss enrollment timelines. Protocol amendments, weak site selection, and reactive monitoring drive overruns and patient burden. AI-Enabled Solution: AI optimizes protocol design using historical trials and real-world data, predicts the highest-performing sites and patient cohorts, drives risk-based monitoring in real time, and enables synthetic control arms — turning every completed trial into intelligence for the next.
DIVERSE PATIENT POPULATIONS WE SERVE
CYCLIC AI-DRIVEN PROCESS FLOW
| AI CAPABILITIES |
| ■ AI-optimized protocol design using RWD + historical trial benchmarks |
| ■ Predictive site & investigator performance scoring |
| ■ NLP-based cohort identification & patient matching from EHR |
| ■ Real-time risk-based monitoring & data-quality anomaly detection |
| ■ Synthetic control arms & external comparators from RWD |
| BENEFITS & KPIs | |
| Enrollment cycle time | −30% |
| Protocol amendments | −40% |
| Site activation time | +25% |
| Data query rate | −50% |
| Cost per randomized patient | −20% |