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TrialMind

TrialMind: AI agents for clinical research teams

Describe a research task, review the proposed plan, and check the results with their sources and code.

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How TrialMind works

  1. 01

    Describe the task

    Say what you want to investigate and which data or sources to use.

  2. 02

    Review the plan

    Check the proposed steps before anything runs.

  3. 03

    Check the result

    Review the findings with their sources, methods, and code.

Technical details: the three platform layers
  1. 01

    Agentic workflows

    A natural-language interface for multi-step clinical research tasks, refined over multi-turn conversation.

    • Conversational AI
    • Collaborative workflows
    • Intelligent suggestions
  2. 02

    Tools, skills, and secure sandbox

    Proprietary Model Context Protocol tools, domain skills, and secure execution environments.

    • MCP tools
    • Domain skills
    • Execution sandbox
  3. 03

    Agent platform

    Clinical trial knowledge base, foundation models, and secure data processing underneath.

    • Clinical trial knowledge base
    • Foundation models
    • SOC 2, ISO 27001, HIPAA & GxP

Security and data handling

SOC 2 Type I & IIISO 27001HIPAA · BAAsGxP qualified

Data stays in your environment

The AI components work on metadata only. Raw patient records are not moved out of your environment.

Access rules enforced by the agent

The agent cannot use data that a user is not permitted to see, regardless of how a question is phrased.

Audit trail

An unalterable audit trail, electronic signatures under FDA 21 CFR Part 11, and ALCOA+ data-integrity principles.

Security and compliance details

Book a demo

We run TrialMind on a problem from your own work rather than a scripted tour.