Compliance & Validation — Not documented by Atlas
Ask the vendor: Which compliance certifications (HIPAA, 21 CFR Part 11, SOC 2, GxP) do you hold?
ParkourSC
Supply chain intelligence platform providing real-time visibility and predictive insights for pharma logistics and cold chain.
ParkourSC, founded in 2014 as Cloudleaf and rebranded in 2022, is headquartered in San Jose, California. Its platform combines sensor data, digital twins and predictive analytics for pharmaceutical supply chain visibility, including cold chain monitoring, and the company has raised Series C funding. It does not publish security or GxP attestations despite positioning for regulated industries, so request documentation during evaluation.
- Headquarters
- San Jose, United States
- Founded
- 2014
- Deployment options
- cloud
- Website
- https://www.parkoursc.com
- https://www.linkedin.com/company/parkoursc
Categories
AI Use Cases
- Supply Chain & Demand Forecasting
Vendor Scorecard
50% — Partial coverage. Coverage score — how completely Atlas documents ParkourSC 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
Mid-Size Biotech, Large Pharma, Top 20 Pharma, IT / Digital, Data Management
Solution Scope — Documented
Supply Chain Optimization
Company Viability — Partially documented
Series C, 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?
Questions to Ask This Vendor
- What security and GxP documentation can be provided under NDA?
- Which sensor hardware and logistics partners does the platform support?
- How are predictive alerts validated against real shipment outcomes?
- What does integration with our ERP and quality systems involve?