Florence Healthcare

Site-facing eISF/eTMF and remote site access platform (eBinders) connecting sponsors, CROs, and research sites.

Florence Healthcare, founded in 2014 and headquartered in Atlanta, Georgia, provides eBinders, an electronic investigator site file and trial master file platform that replaces paper regulatory binders and enables remote site access and monitoring across sponsors, CROs, and research sites. The company has raised approximately $116 million through Series C from investors including Insight Partners and Bessemer Venture Partners, and its trust page documents a SOC 2 Type 2 report. Its AI positioning centers on document workflow automation rather than data analysis, so probe which capabilities are shipping versus roadmap.

Headquarters
Atlanta, United States
Founded
2014
Compliance
SOC 2 Type II
Deployment options
cloud
Website
https://florencehc.com
LinkedIn
https://www.linkedin.com/company/florence-healthcare

Categories

Vendor Scorecard

57% — Partial coverage. Coverage score — how completely Atlas documents Florence Healthcare across 7 buyer-evaluation areas. Reflects available Atlas data, not solution quality.

Compliance & Validation — Documented

SOC 2 Type II

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

Biotech Startup, Mid-Size Biotech, CRO / CDMO, Academic / Research, Clinical Operations

Solution Scope — Not documented by Atlas

eClinical Systems

Company Viability — Documented

Series C, $116M raised, 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

  • Which AI-assisted document workflows are in production today versus roadmap?
  • How does remote monitoring access work for sponsors across our site network?
  • What does site onboarding and adoption support look like?
  • How does eBinders integrate with our existing eTMF or CTMS?