CRIO

eSource and EDC platform built for research sites, capturing structured data at the point of care, with third-party attested 21 CFR Part 11 compliance.

CRIO (Clinical Research IO), founded in 2015 and headquartered in Boston, Massachusetts, provides eSource, EDC, CTMS, and eRegulatory tools designed from the research site's perspective, capturing structured data at the point of collection to build quality into trials upstream. In May 2024 the private equity firm The Riverside Company acquired CRIO through its Riverside Micro-Cap Fund; the company continues to operate under its own brand. Its security page documents third-party attested 21 CFR Part 11 compliance. The platform is site-first by design, so sponsors and CROs should validate sponsor-facing analytics and data-integration depth during evaluation.

Headquarters
Boston, United States
Founded
2015
Compliance
21 CFR Part 11
Deployment options
cloud
Website
https://clinicalresearch.io
LinkedIn
https://www.linkedin.com/company/clinical-research-io

Categories

AI Use Cases

  • Clinical Data Management

Vendor Scorecard

64% — Partial coverage. Coverage score — how completely Atlas documents CRIO across 7 buyer-evaluation areas. Reflects available Atlas data, not solution quality.

Compliance & Validation — Documented

21 CFR Part 11

Deployment & Hosting — Documented

cloud

Pricing Transparency — Not documented by Atlas

Ask the vendor: What is your pricing model, and what drives total cost of ownership?

Implementation & Onboarding — Not documented by Atlas

Ask the vendor: What is a realistic implementation timeline, and what onboarding support is included?

Organization & Role Fit — Documented

Biotech Startup, Mid-Size Biotech, CRO / CDMO, Clinical Operations, Data Management

Solution Scope — Documented

Clinical Data Management

Company Viability — Partially documented

Private equity, Founded 2015

Always ask the vendor

Not captured in Atlas data — confirm directly. Excluded from the score above.

Data Rights & IP

Who owns model outputs? Is our proprietary data used to train models others can access, and where does our data reside?

Model Credibility & Explainability

Can you share validation studies or benchmarks, explain how the model reaches its conclusions, and describe how bias and drift are monitored?

Questions to Ask This Vendor

  • How does eSource data flow into our sponsor EDC or data warehouse?
  • What does the third-party Part 11 attestation cover?
  • Which AI-assisted features exist today versus roadmap?
  • What site-adoption support is included for multi-site studies?