TrialSheet
An AI clinical-trial assistant for biotech startups and academic medical centers that drafts protocols, screens adverse events, and generates regulatory-submission sections — with provenance for every claim and a verify-my-work loop.
clinical operations managers at small biotechs and academic medical centers
- Protocol drafter that turns a Phase I outline into a full protocol with endpoints, inclusion criteria, and a statistical plan
- Adverse-event screener that parses safety reports and flags MedDRA-coded events needing escalation
- Submission-section generator that drafts IND or NDA sections with cited references and version diffs
- Show-your-work trail that links every claim to its source so FDA reviewers can trace reasoning
Opus 5's article highlights a genomics customer praising the model for 'behaving like a careful scientist' — biotech CROs and academic medical centers have exactly the workflow described and have been waiting for traceable AI in the regulated trial space.
Multiple funded competitors actively launching AI trial tools (Tryal Accelerator Dec 2025, Clinion eProtocol, Faro, Lindus Health SPROUT) and FDA Jan 2025 draft guidance on AI credibility signals real buyer pull.Tryal Launches Accelerator: A Breakthrough AI-Powered Platform Transforming Clinical Trial Startup ↗FDA Proposes Framework to Advance Credibility of AI Models Used for Drug and Biological Product Submissions ↗
Crowded field with established incumbents across each workflow — Clinion (protocol authoring), Veeva Safety (adverse event/ICSR), Faro (protocol + EDC), Lindus Health SPROUT, and Tryal Accelerator all shipping AI features.Clinion eProtocol | AI-Powered Clinical Trial Protocol Generation ↗Faro | The AI Platform for Clinical Development ↗Veeva Safety | Modern Adverse Event & Case Management System ↗
Enterprise clinical-ops budgets exist (Veeva/Clinion/Faro charge per study or seat) and FDA credibility framework creates willingness to pay for validated AI, but small biotechs are price-sensitive and incumbents already capture spend.Clinion eProtocol | AI-Powered Clinical Trial Protocol Generation ↗FDA's AI Credibility Framework: What the January 2025 Draft Guidance Requires ↗
Highly regulated, durable workflow — regulatory submissions and trial startup will not go away, and FDA's formal AI credibility framework makes provenance/audit features a long-term compliance requirement rather than a fad.Considerations for the Use of Artificial Intelligence to Support Regulatory Decision-Making for Drug and Biological Products ↗FDA Issues Draft Guidance on the Role of Artificial Intelligence in Supporting Regulatory Decisions ↗
Building a credible provenance/verify-my-work loop requires deep regulatory expertise, FDA-aligned validation documentation, and integration with EDC/safety systems — non-trivial compared to a generic writing assistant.FDA's AI Credibility Framework: What the January 2025 Draft Guidance Requires ↗