Compliance & Validation — Not documented by Atlas
Ask the vendor: Which compliance certifications (HIPAA, 21 CFR Part 11, SOC 2, GxP) do you hold?
H1
Healthcare professional data platform for expert identification, investigator selection, and medical-commercial targeting.
H1, founded in 2017 and headquartered in New York City, builds a global healthcare professional data platform — physician and researcher profiles spanning publications, clinical trials, claims, and affiliations — used by medical affairs, commercial, and clinical development teams for expert identification and trial site and investigator selection. The company has raised venture funding through a Series C round. No vendor-held security certifications were found on its public site; data provenance and compliance posture should be probed during evaluation. H1 acquired Ribbon Health in January 2025 and raised an additional $40 million round led by CVS Health Ventures in May 2026.
- Headquarters
- New York, United States
- Founded
- 2017
- Deployment options
- cloud
- Website
- https://h1.co
- https://www.linkedin.com/company/h1co
Categories
AI Use Cases
- Site Selection & Performance
Vendor Scorecard
50% — Partial coverage. Coverage score — how completely Atlas documents H1 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, Medical Affairs, Commercial, Clinical Operations
Solution Scope — Documented
Site Selection & Performance
Company Viability — Partially documented
Series C, Founded 2017
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
- How current and complete is profile coverage in our therapeutic area and geographies?
- How are conflicting or stale affiliation data corrected?
- What compliance controls exist for using the data in HCP engagement?
- How does investigator identification integrate with our feasibility workflow?