Jekson Vision

Machine-vision inspection and track-and-trace systems for pharmaceutical packaging lines.

Jekson Vision, founded in 2001 and headquartered in Ahmedabad, India, is a global provider of machine-vision inspection and serialization/track-and-trace systems for pharmaceutical packaging, increasingly incorporating AI-based defect detection. The company is privately held and bootstrapped. Its systems are built to support serialization mandates such as DSCSA and to operate within 21 CFR Part 11 / GAMP-regulated manufacturing environments; Atlas found no vendor-held security certifications (such as ISO 27001 or SOC 2) documented on its site.

Headquarters
Ahmedabad, India
Founded
2001
Deployment options
on-premise
Website
https://jeksonvision.com
LinkedIn
https://www.linkedin.com/company/jeksonvision

Categories

AI Use Cases

  • Manufacturing Quality Control

Vendor Scorecard

50% — Partial coverage. Coverage score — how completely Atlas documents Jekson Vision across 7 buyer-evaluation areas. Reflects available Atlas data, not solution quality.

Compliance & Validation — Not documented by Atlas

Ask the vendor: Which compliance certifications (HIPAA, 21 CFR Part 11, SOC 2, GxP) do you hold?

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

Founded 2001

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 defect types are supported for our product and packaging formats?
  • How does the system support DSCSA serialization and aggregation for our markets?
  • What validation (IQ/OQ/PQ) and 21 CFR Part 11 documentation is provided per line?
  • How does the platform integrate with our line-control and L4 reporting systems?