Advarra

Research compliance and site-enablement company providing IRB/IBC review and clinical site technology.

Advarra, formed in 2017 and headquartered in Columbia, Maryland, is a major provider of institutional review board (IRB) and biosafety review services plus clinical research technology — including CTMS, eRegulatory, and eConsent products used by sites, sponsors, and academic institutions. The company has been introducing AI-assisted capabilities across its review and site-technology workflows. Its center of gravity is research compliance and site enablement rather than data analytics.

Headquarters
Columbia, United States
Founded
2017
Deployment options
cloud
Website
https://www.advarra.com
LinkedIn
https://www.linkedin.com/company/11352981

Categories

Vendor Scorecard

36% — Limited coverage. Coverage score — how completely Atlas documents Advarra across 7 buyer-evaluation areas. Reflects available Atlas data, not solution quality.

Compliance & Validation — Not documented by Atlas

Ask the vendor: Which compliance certifications (HIPAA, 21 CFR Part 11, SOC 2, GxP) do you hold?

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

Academic / Research, Mid-Size Biotech, Large Pharma, Top 20 Pharma, CRO / CDMO, Clinical Operations

Solution Scope — Not documented by Atlas

eClinical Systems, Clinical Trials

Company Viability — Partially documented

Private equity, Founded 2017

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

  • Which workflows include AI assistance today, and how are outputs reviewed?
  • How do the site-facing products integrate with sponsor systems?
  • What turnaround times are typical for review services at our study volume?
  • How is data shared between the review business and technology products?