TrialMind by Keiji AI
AI agents for clinical research
Analyze study data, review the literature, and plan clinical trials, with the sources, methods, and code your team can check.
What is TrialMind?
TrialMind is Keiji AI’s platform of AI agents for clinical research, in production at pharmaceutical and biotech companies, contract research organizations, and academic medical centers, including AbbVie, Regeneron, Takeda, Guardant Health, Beth Israel Deaconess Medical Center. It covers five areas: biostatistics and trial design, real-world evidence, health economics and market access, competitive and portfolio intelligence, and clinical development and operations. Systematic literature review is one part of it, not the whole product.
How TrialMind works
- 01
Describe the task
Say what you want to investigate and which data or sources to use.
- 02
Review the plan
Check the proposed steps before anything runs.
- 03
Check the result
Review the findings with their sources, methods, and code.
Technical details: the three platform layers
- 01
Agentic workflows
A natural-language interface for multi-step clinical research tasks, refined over multi-turn conversation.
- Conversational AI
- Collaborative workflows
- Intelligent suggestions
- 02
Tools, skills, and secure sandbox
Proprietary Model Context Protocol tools, domain skills, and secure execution environments.
- MCP tools
- Domain skills
- Execution sandbox
- 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
Use cases
How teams use TrialMind, from biostatistics to health economics. Each use case has a short video and example outputs.
Biostatistics & Trial Design
Statistical programming and trial designLearn more ›
Real-World Evidence
Feasibility and cohort studies on real-world dataLearn more ›
Competitive & Portfolio Intelligence
Clinical trial landscapes, with sourcesLearn more ›
Clinical Development & Operations
Site selection, patient matching, and monitoringLearn more ›
Health Economics & Market Access
Literature reviews and health technology assessment dossiersLearn more ›
Research Institutions
Analyze your institution's data in plain languageLearn more ›
Customer examples1
Weeks → minutes
A precision oncology diagnostics company
Oncology feasibility studies, run by 20+ data scientists on their own database.
Months → days
A global biopharmaceutical company
Medical directors refining eligibility criteria by comparing them with registered trials.
No code
Two academic medical centers
Clinical researchers analyzing institutional data in plain language, reviewing each analysis plan before it runs.
Why TrialMind
Auditable outputs
Every answer carries its sources. Every analysis ships with the code and plan behind it.
Runs in your environment
Deployed inside your cloud, on the data you already license. Raw records do not leave your environment.
Built on published research
Ten years of AI research for drug development, published in Nature, Nature Biomedical Engineering, Nature Communications, and NeurIPS.
Customers and technology partners
From top pharma companies to universities and academic medical centers.
Technology partners
Bring a question from your work
We run it in TrialMind with you and walk through the results, sources, and code.
- 1. Deployed customers, described by organization type rather than name. Named references are available under a non-disclosure agreement (NDA).