Compliance & Validation — Documented
GxP validated, 21 CFR Part 11, SOC 2 Type II, ISO 27001
Aizon
AI-powered GxP software for pharmaceutical manufacturing process optimization and quality.
Aizon provides AI-driven, GxP-compliant SaaS for pharmaceutical and biotech manufacturing. Its platform aggregates and contextualizes process data to support real-time monitoring, predictive analytics, and process optimization, helping manufacturers improve yield, reduce deviations, and maintain product quality in regulated environments.
- Headquarters
- San Francisco, United States
- Founded
- 2014
- Compliance
- GxP, 21 CFR Part 11, SOC 2 Type II, ISO 27001
- Deployment options
- cloud, private-cloud
- Website
- https://www.aizon.ai
- https://www.linkedin.com/company/aizon
Categories
AI Use Cases
- Manufacturing Process Optimization
- Manufacturing Quality Control
- Supply Chain & Demand Forecasting
Vendor Scorecard
93% — Complete coverage. Coverage score — how completely Atlas documents Aizon across 7 buyer-evaluation areas. Reflects available Atlas data, not solution quality.
Deployment & Hosting — Documented
cloud, private cloud
Pricing Transparency — Documented
Enterprise SaaS license
Implementation & Onboarding — Documented
6–12 months
Organization & Role Fit — Documented
Mid-Size Biotech, Large Pharma, Top 20 Pharma, CRO / CDMO, IT / Digital, R&D Leadership, Data Management
Solution Scope — Documented
Supply Chain Optimization
Company Viability — Partially documented
Private, Founded 2014
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?
Evidence & Outcomes
Released the pharma industry's first GxP AI bioreactor application for process and quality decisions
Aizon launched a predictive-analytics bioreactor application that brings AI to bioreactor process optimization while preserving GxP compliance and a full audit trail, helping pharmaceutical and biotech manufacturers make data-driven process and quality decisions faster.
press release (Aizon (Business Wire)) · 2021-02-01
Launched Aizon Unify, a GxP-compliant manufacturing data platform for biopharma quality
Aizon released Aizon Unify, a GxP-compliant data aggregation, governance, and visualization platform that harmonizes structured and unstructured manufacturing data so pharmaceutical manufacturers can monitor, analyze, and optimize each production stage in real time — aimed at increasing production capacity, reducing operating costs, and improving product quality.
press release (Aizon (Business Wire)) · 2021-12-08
Questions to Ask This Vendor
- How does the platform integrate with our existing MES and historians?
- What predictive models are available for process deviations?
- What GxP validation support is included?