Compliance & Validation — Not documented by Atlas
Ask the vendor: Which compliance certifications (HIPAA, 21 CFR Part 11, SOC 2, GxP) do you hold?
Narrativa
Generative AI platform for automated drafting of clinical, regulatory, and commercial documents in life sciences.
Narrativa, founded in 2015 and headquartered in Valencia, Spain, provides a generative AI platform for automated content generation in life sciences — including clinical study report sections, patient narratives, and regulatory and commercial documents — with cloud or on-premise deployment. The company reports large document-generation volumes for pharmaceutical clients, though these figures are self-reported. Its site discusses alignment with standards such as ISO 42001, but no vendor-held certifications are published; certification status should be confirmed directly.
- Headquarters
- Valencia, Spain
- Founded
- 2015
- Deployment options
- cloud, on-premise
- Website
- https://www.narrativa.com
- https://www.linkedin.com/company/9329868
Categories
AI Use Cases
- Regulatory Submission Authoring
Vendor Scorecard
50% — Partial coverage. Coverage score — how completely Atlas documents Narrativa across 7 buyer-evaluation areas. Reflects available Atlas data, not solution quality.
Deployment & Hosting — Documented
cloud, on premise
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, Regulatory Affairs, Medical Affairs, Commercial
Solution Scope — Documented
Natural Language Processing, Regulatory Submission Authoring
Company Viability — Partially documented
Private, 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
- Which document types are validated in production at pharma customers?
- How does human review and sign-off work in the generation workflow?
- What certifications does the company itself hold versus standards it references?
- How is our data protected in cloud versus on-premise deployment?