Compliance & Validation — Not documented by Atlas
Ask the vendor: Which compliance certifications (HIPAA, 21 CFR Part 11, SOC 2, GxP) do you hold?
Clarify Health
Healthcare analytics platform using claims and reference data for care journey insights and provider performance analytics.
Clarify Health, founded in 2015 and headquartered in San Francisco, California, provides cloud analytics built on large-scale claims and reference datasets, used by life sciences commercial teams for care journey mapping, provider performance benchmarking and audience insights. The company raised a $166M Series D in 2022 and announced its acquisition of Loyal Health in June 2026. Its site documents a HITRUST Risk-Based certification, which sits outside this directory's compliance filter set, so it is noted here rather than in the filters.
- Headquarters
- San Francisco, United States
- Founded
- 2015
- Deployment options
- cloud
- Website
- https://clarifyhealth.com
- https://www.linkedin.com/company/clarify-health-solutions
Categories
AI Use Cases
- Patient Identification & Segmentation
Vendor Scorecard
50% — Partial coverage. Coverage score — how completely Atlas documents Clarify Health 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, Commercial, Medical Affairs
Solution Scope — Documented
Real-World Evidence
Company Viability — Partially documented
Series D, Founded 2015
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
- Can the HITRUST certification report be shared during security review?
- Which claims and reference datasets underpin the analytics, and how current are they?
- How does the Loyal Health acquisition change the product roadmap?
- What life sciences reference customers are available?