Compliance & Validation — Not documented by Atlas
Ask the vendor: Which compliance certifications (HIPAA, 21 CFR Part 11, SOC 2, GxP) do you hold?
o9 Solutions
Enterprise AI planning platform for supply chain and demand forecasting, with a life sciences vertical.
o9 Solutions, founded in 2009 and headquartered in Dallas, Texas, provides an enterprise planning platform — its 'Digital Brain' — for demand forecasting, supply planning, and integrated business planning, using knowledge-graph and machine learning techniques. Its life sciences vertical addresses pharma-specific planning problems such as tender management, cold-chain constraints, and launch planning. Implementations are enterprise-scale programs comparable to other major planning platforms.
- Headquarters
- Dallas, United States
- Founded
- 2009
- Deployment options
- cloud
- Website
- https://o9solutions.com
- https://www.linkedin.com/company/o9solutions
Categories
AI Use Cases
- Supply Chain & Demand Forecasting
Vendor Scorecard
50% — Partial coverage. Coverage score — how completely Atlas documents o9 Solutions 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
Large Pharma, Top 20 Pharma, IT / Digital, Data Management
Solution Scope — Documented
Supply Chain Optimization
Company Viability — Partially documented
Private, Founded 2009
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 pharma planning processes are preconfigured versus custom-built?
- How does the platform integrate with our ERP and serialization systems?
- What forecast accuracy improvements have comparable pharma deployments measured?
- What is a realistic implementation timeline and internal staffing requirement?