Compliance & Validation — Documented
SOC 2 Type II, ISO 27001
Rhino Federated Computing
Federated computing platform for privacy-preserving analytics and AI model development across distributed health data.
Rhino Federated Computing, founded in 2020 and headquartered in Boston, Massachusetts, provides a federated computing platform that lets organisations collaborate on analytics and AI model development while data remains inside each institution's own environment. The company was previously known as Rhino Health and rebranded to Rhino Federated Computing, and raised a $15M Series A in May 2025. Its own blog documents SOC 2 and ISO 27001 certifications.
- Headquarters
- Boston, United States
- Founded
- 2020
- Compliance
- SOC 2 Type II, ISO 27001
- Deployment options
- cloud, private-cloud
- Website
- https://www.rhinofcp.com
- https://www.linkedin.com/company/rhinofc
Categories
Vendor Scorecard
50% — Partial coverage. Coverage score — how completely Atlas documents Rhino Federated Computing across 7 buyer-evaluation areas. Reflects available Atlas data, not solution quality.
Deployment & Hosting — Documented
cloud, private 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, Academic / Research, Data Engineer / Architect, IT / Digital, R&D Leadership
Solution Scope — Not documented by Atlas
Data & AI Infrastructure
Company Viability — Partially documented
Series A, Founded 2020
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 infrastructure is required at each data-holding institution?
- How are federated workloads validated and monitored across participating sites?
- Can current SOC 2 and ISO 27001 reports be shared under NDA?
- Which existing networks or consortia can serve as references?