Verantos

AI-enabled real-world evidence platform generating high-validity evidence from EHR narrative data for market access and medical affairs.

Verantos, headquartered in Menlo Park, California, provides a real-world evidence platform that combines structured EHR data with clinical narrative text using AI and natural language processing to generate what it describes as high-validity evidence with measured accuracy, completeness, and traceability — supporting market access, medical affairs, regulatory, and clinical development use cases. The company does not publish a public security or compliance certification page, so request security documentation during evaluation.

Headquarters
Menlo Park, United States
Deployment options
cloud
Website
https://verantos.com
LinkedIn
https://www.linkedin.com/company/verantos

Categories

AI Use Cases

  • Market Access & HTA Strategy

Vendor Scorecard

50% — Partial coverage. Coverage score — how completely Atlas documents Verantos 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

Mid-Size Biotech, Large Pharma, Top 20 Pharma, Medical Affairs, Commercial, R&D Leadership

Solution Scope — Documented

Natural Language Processing, Real-World Evidence

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 is evidence validity measured and audited on our therapeutic area?
  • Which EHR networks and data sources back the platform today?
  • What security and compliance documentation can be provided?
  • Has evidence from the platform been used in a regulatory submission?