Compliance & Validation — Not documented by Atlas
Ask the vendor: Which compliance certifications (HIPAA, 21 CFR Part 11, SOC 2, GxP) do you hold?
QInscribe
AI-driven medical-writing agency delivering regulatory, scientific, and transparency documents for clinical trials.
QInscribe, launched in 2025 and based in the United Kingdom (Hitchin, Hertfordshire), is an AI-driven medical-writing agency that combines expert medical writers with AI tooling to deliver regulatory, scientific, and transparency-focused documents supporting clinical trials for biopharmaceutical sponsors. It is a services provider rather than a self-serve software product, so engagement is project- or retainer-based and its AI tooling is delivered through its writing team. Atlas found no vendor-held security certifications documented on its site.
- Headquarters
- Hitchin, United Kingdom
- Founded
- 2025
- Deployment options
- cloud
- Website
- https://www.qinscribe.com
- https://www.linkedin.com/company/qinscribe
Categories
AI Use Cases
- Regulatory Submission Authoring
Vendor Scorecard
50% — Partial coverage. Coverage score — how completely Atlas documents QInscribe across 7 buyer-evaluation areas. Reflects available Atlas data, not solution quality.
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, Medical Affairs
Solution Scope — Documented
Regulatory Submission Authoring
Company Viability — Partially documented
Founded 2025
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 does the agency deliver, and at what quality controls?
- How is AI tooling used within the writing workflow, and where do humans sign off?
- How is our confidential clinical data handled during an engagement?
- What is the engagement model, turnaround, and capacity for our program?