Compliance & Validation — Not documented by Atlas
Ask the vendor: Which compliance certifications (HIPAA, 21 CFR Part 11, SOC 2, GxP) do you hold?
DrugCard
AI-assisted medical literature monitoring platform for pharmacovigilance literature screening and case intake.
DrugCard, founded in 2019 and registered in Tallinn, Estonia, provides a literature-monitoring platform for pharmacovigilance teams. It screens local and global medical literature — including non-English local journals — for adverse reaction mentions, using automated translation and AI-assisted screening to surface potential individual case safety reports for human review. The company reports hosting on ISO/IEC 27001- and SOC 2-certified AWS infrastructure; Atlas does not treat inherited infrastructure certifications as vendor-held certifications.
- Headquarters
- Tallinn, Estonia
- Founded
- 2019
- Deployment options
- cloud
- Website
- https://drug-card.io
- https://www.linkedin.com/company/drugcards
Categories
AI Use Cases
- Case Processing Automation
Vendor Scorecard
50% — Partial coverage. Coverage score — how completely Atlas documents DrugCard 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, CRO / CDMO, Pharmacovigilance
Solution Scope — Documented
Adverse Event Detection, Natural Language Processing
Company Viability — Partially documented
Private, Founded 2019
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 local-language journals and sources are covered for our territories?
- How is screening recall measured, and what does the human review workflow look like?
- What audit trail is available for literature screening decisions?
- What certifications does the company itself hold, versus its hosting provider?