Abridge Raises $250M Series D to Expand AI-Powered Clinical Documentation
Abridge is transforming clinical documentation by leveraging generative AI to streamline workflows and reduce inefficiencies in healthcare.
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Company Name: Abridge
Location: San Francisco, CA
Industry: Health Tech
Funding Details:
- Amount: $250M (Series D round)
- Investors:
- Co-leads: Elad Gil, IVP
- Participants: Bessemer Venture Partners, California Health Care Foundation, CapitalG, CVS Health Ventures, K. Ventures, Lightspeed Venture Partners, NVentures, Redpoint Ventures, Spark Capital, SV Angel
Purpose of Investment:
- Advance AI capabilities and product development
- Expand commercial growth to support broader applications in healthcare
Product:
Abridge provides a generative AI platform that transforms medical conversations into clinically useful and billable documentation at the point of care. It integrates with electronic health records (EHRs) and supports 28+ languages across 50+ specialties, reducing administrative burden, clinician burnout, and improving patient experience.
Key Features:
- Linked Evidence: AI-generated summaries mapped to source data for trust and verification
- Abridge Contextual Reasoning Engine:
- Contextual awareness: Integrates historical patient data, health system revenue cycle guidelines, and clinician preferences
- Precise problem detection: Groups and describes medical problems with billing-aligned language
- Actionable outputs: Captures medical orders and integrates them into EHRs for review
- Auditable notes: AI-generated outputs tied to source data for full transparency
About Company:
Abridge is transforming clinical documentation by leveraging generative AI to streamline workflows and reduce inefficiencies in healthcare. Used across outpatient, emergency, and inpatient settings, its technology enables real-time medical documentation while ensuring accuracy, compliance, and physician trust. With its latest funding, Abridge aims to further enhance its AI capabilities, expand adoption across healthcare systems, and set new standards for AI-driven medical documentation.