Ask CoTrial AI offers an AI platform that automates clinical trial operations by combining machine‑executable logic graphs, LLM‑RAG reasoning, survival modeling, and behavioral transformers to rank candidates by completion probability and forecast adverse events. The system generates versioned decision DAGs with full audit lineage, producing 21 CFR Part 11‑compliant evidence packets for CROs, trial sites, and drug developers. It also provides 24/7 chat assistance and multi‑format unstructured data ingestion for comprehensive trial document analysis.
Funding
Funding not disclosed
Founders
Product
Problem
Clinical trial teams struggle to efficiently evaluate large volumes of heterogeneous patient data, leading to slow enrollment, high dropout rates, and costly delays. Existing screening tools focus on eligibility alone and lack robust compliance documentation, making it difficult to predict trial completion and meet regulatory audit requirements.
Solution
Ask CoTrial AI offers an AI-driven platform that ingests multi-format unstructured trial documents—including PDFs, spreadsheets, images, and proprietary files—and applies machine‑executable logic graphs combined with LLM‑RAG reasoning, DeepSurv survival modeling, and behavioral transformers. The system ranks candidates by their probability of completing the trial rather than merely meeting eligibility criteria, enabling more realistic enrollment forecasts. Every AI decision generates a versioned Decision DAG with model identifiers, retrieval logs, and audit lineage, automatically producing 21 CFR Part 11‑compliant evidence packets. The platform operates 24/7 via an AI assistant that provides real‑time insights, trend analysis, and answers to user queries. Built on secure cloud infrastructure, it includes HIPAA and GDPR safeguards such as consent tracking, access controls, data minimization, and PHI redaction.
Target Audience
Primary customers are contract research organizations, pharmaceutical developers, trial sites, and research institutes that need advanced patient screening, compliance documentation, and predictive enrollment analytics.
Features
- Multi-format file ingestion (PDFs, spreadsheets, images, proprietary formats) with comprehensive data extraction
- Machine‑executable logic graphs that integrate LLM‑RAG reasoning, DeepSurv survival analysis, and behavioral transformers for candidate ranking by completion probability
- Automatic generation of versioned Decision DAGs and 21 CFR Part 11‑compliant audit trails for full regulatory compliance
- 24/7 AI assistant chat interface delivering real‑time insights, trend detection, and issue flagging
- Built‑in HIPAA and GDPR compliance with consent management, access control, data minimization, and PHI redaction
- Cloud‑native architecture providing scalable performance for CROs, pharma companies, and research institutions