Compliance & Validation — Not documented by Atlas
Ask the vendor: Which compliance certifications (HIPAA, 21 CFR Part 11, SOC 2, GxP) do you hold?
Sensum
Machine-vision maker of automatic visual inspection machines for tablets, capsules, and softgels, with AI-based defect detection.
Sensum, founded in 2000 and headquartered in Ljubljana, Slovenia, develops and manufactures automatic visual inspection systems for solid dosage forms — tablets, capsules, and softgels — used by leading multinational pharmaceutical manufacturers, alongside in-line PAT solutions for real-time visual process monitoring. Its systems apply computer vision and AI-based defect detection on-premise as part of GMP production lines. As an equipment vendor rather than SaaS, evaluation centers on machine qualification (IQ/OQ/PQ) and line integration rather than software certifications.
- Headquarters
- Ljubljana, Slovenia
- Founded
- 2000
- Deployment options
- on-premise
- Website
- https://www.sensum.eu
- https://www.linkedin.com/company/sensum-computer-vision-systems
Categories
AI Use Cases
- Manufacturing Quality Control
Vendor Scorecard
50% — Partial coverage. Coverage score — how completely Atlas documents Sensum across 7 buyer-evaluation areas. Reflects available Atlas data, not solution quality.
Deployment & Hosting — Documented
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, Top 20 Pharma, IT / Digital, R&D Leadership
Solution Scope — Documented
Manufacturing Quality Control
Company Viability — Partially documented
Private, Founded 2000
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
- What qualification documentation (IQ/OQ/PQ) ships with the machines?
- What throughput and defect classes are validated for our dosage forms?
- How are AI inspection models updated and revalidated?
- What service coverage exists in our manufacturing regions?