Your natural-language interface to the entire trial.

Vera answers questions over your proposals, your financial paper trail, and your clinical datasets — grounded in your own documents and data, not a generic model’s memory.

How it works

  • Plans the approach to each question (multi-step when needed)
  • Executes against your data — documents, databases, clinical datasets
  • Reflects on whether it actually answered what you asked, and retries if not

Example queries by pillar

Evaluate
  • “Which proposal is cheapest if enrollment slips 20%?”
  • “Compare pharmacovigilance coverage for Latin America across all three proposals.”
Vera answering a proposal-evaluation question.
Vera answering a proposal-evaluation question.
Manage
  • “Which invoices in 2024 had Project Management Services exceed what was authorized?”
  • “Total paid to the CRO by quarter vs. plan for project R2R01-CSA-AKI-201.”
Vera answering a finance + clinical reconciliation question.
Vera answering a finance + clinical reconciliation question.
Report
  • “Summarize Grade 3+ AEs in Arm B vs. Arm C.”
  • “Draft the safety narrative for subject 1045.”

MCP and Claude Desktop integration

Vera also runs inside Claude Desktop via Model Context Protocol, for users who prefer that surface — same grounded answers, different interface.

Curious how we built Vera? Read the build journey, including the architectural paths we tried and abandoned.