RegDesk

Regulatory information management platform with AI-assisted intelligence for global medical-product submissions and requirement tracking.

RegDesk, headquartered in Houston, Texas, provides a regulatory information management platform that helps medical device and pharmaceutical companies prepare, submit, and track product registrations across global markets, with AI-assisted alerts when country requirements change. Its trust page documents a third-party SOC 2 Type II certification alongside self-declared GDPR, FDA 21 CFR Part 11, and GxP compliance. Much of the company's public footprint centers on medical devices, so pharma-specific depth should be probed during evaluation.

Headquarters
Houston, United States
Compliance
SOC 2 Type II, GDPR, 21 CFR Part 11, GxP
Deployment options
cloud
Website
https://www.regdesk.co
LinkedIn
https://www.linkedin.com/company/regdesk

Categories

AI Use Cases

  • Regulatory Submission Authoring

Vendor Scorecard

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

Compliance & Validation — Documented

SOC 2 Type II, GDPR, 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, Large Pharma, Regulatory Affairs

Solution Scope — Documented

Regulatory Submission Authoring

Company Viability — Partially documented

Private

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 deep is coverage for drug submissions in our target markets, versus medical devices?
  • How are AI-generated regulatory alerts sourced and verified before they reach us?
  • Which compliance claims are third-party audited versus self-assessed?
  • What does the submission tracking audit trail look like for inspections?