Compliance & Validation — Not documented by Atlas
Ask the vendor: Which compliance certifications (HIPAA, 21 CFR Part 11, SOC 2, GxP) do you hold?
Stevanato Group
Automated visual inspection systems for pharmaceutical drug products, from a global containment and delivery provider.
Stevanato Group, founded in 1949 and headquartered in Piombino Dese, Italy, is a publicly listed (NYSE: STVN) global provider of drug containment, drug delivery, and diagnostic solutions whose engineering division builds automated visual inspection systems for pharmaceutical drug products, incorporating machine vision and AI-assisted defect classification. This Atlas listing covers its visual inspection systems. The company maintains ISO 9001, ISO 13485, and ISO 15378 (primary-packaging GMP) quality certifications documented on its site; these quality-management certifications are described here in prose because they fall outside Atlas's security-certification tags.
- Headquarters
- Piombino Dese, Italy
- Founded
- 1949
- Deployment options
- on-premise
- Website
- https://www.stevanatogroup.com
- https://www.linkedin.com/company/stevanato-group
Categories
AI Use Cases
- Manufacturing Quality Control
Vendor Scorecard
50% — Partial coverage. Coverage score — how completely Atlas documents Stevanato Group 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, Data Management
Solution Scope — Documented
Manufacturing Quality Control
Company Viability — Partially documented
Public, Founded 1949
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 inspection technologies fit our container format and product (e.g. particles, cosmetic defects, container closure integrity)?
- How are AI-assisted defect classifications validated and controlled in a GxP environment?
- What validation documentation (IQ/OQ/PQ) is provided per inspection system?
- How does the system integrate with our existing fill-finish and line-control infrastructure?