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Keiji AI Fact Sheet

Keiji AI fact sheet

The company, the platform, and the research on one page, for analysts, partners, press, and procurement teams.

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Last updated October 2026

Company overview

Company
Keiji AI, Inc.
Founded
2023
Headquarters
United States
Product
TrialMind, a platform of AI agents for clinical research
Category
Business software, delivered as a hosted service (SaaS), for pharma, biotech, contract research organizations (CROs), and academic medical centers
Deployment
Cloud, private cloud, or your own environment, with access through an application programming interface (API) and the Model Context Protocol (MCP)
Website
keiji.ai

Keiji AI builds TrialMind, AI agents for clinical research teams — biostatistics and trial design, real-world evidence, HEOR, competitive intelligence, and clinical operations. Every output carries citations, traceable logic, and an audit trail, so a regulated team can defend it.

Research background

Keiji AI came out of an AI research lab at the University of Illinois Urbana-Champaign.

The team publishes peer-reviewed work in Nature, Nature Biomedical Engineering, Nature Communications, Nature Machine Intelligence, npj Digital Medicine, and top AI venues including NeurIPS, ICLR, EMNLP, and KDD.

Security and compliance

SOC 2 Type I & II
Audited — Service Organization Control 2 (SOC 2): independent attestation of security, availability, and confidentiality controls
ISO 27001
Certified — international standard for an information security management system (ISMS)
HIPAA
Compliant — Health Insurance Portability and Accountability Act (HIPAA) safeguards for protected health information (PHI), with business associate agreements (BAAs) available
GxP
Qualified — GxP (good practice regulations such as good clinical practice): Data Science Assistant v1.0.0, qualified using the GAMP 5 (Good Automated Manufacturing Practice) risk-based approach, with controls for 21 CFR Part 11 (FDA rules for electronic records and signatures) and EU Annex 11 (European rules for computerized systems)

Controls

  • Encryption of stored data (AES-256) and of data in transit (TLS 1.2 or later)
  • Multi-factor authentication and role-based access control
  • Network segmentation, regular security assessments, and vulnerability scanning
  • Documented incident response procedures, with customer notification of security incidents

Customers

In production with pharmaceutical and biotech companies, contract research organizations, and academic medical centers.

AbbVieRegeneronTakedaGuardant HealthMedidataBeth Israel Deaconess Medical CenterAlumis

Contact

General & press
contact@keiji.ai

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