Ambient AI clinical documentation integrated with health system EHRs
Abridge builds speech recognition and note-generation AI for clinicians, wired into Epic and Cerner through FHIR and HL7, with model serving on NVIDIA Triton and vLLM over GCP and Kubernetes. Terraform adoption alongside a modular Terraform platform project points to infrastructure being rebuilt for scale. Hiring leans heavily senior, and an unusually large legal contingent signals privacy and life sciences data programs moving up the agenda.
Notable leadership hires: Art Director, Engineering Lead, Program Director, Product Lead
Abridge, founded in 2018 and headquartered in San Francisco, develops AI that captures patient-clinician conversations and generates clinical documentation. Its platform integrates deeply with electronic health records and supports encounters across many languages, specialties and care settings. Customers are large U.S. health systems, and the company also connects with payers and life sciences organizations. Abridge is privately held, employs 201–500 people, and currently hires in the United States.
Abridge uses PyTorch, JAX and TensorFlow for ML, NVIDIA Triton and vLLM for serving, LangChain and LlamaIndex, plus GCP, Kubernetes, Terraform, React, Swift, Kotlin and Electron.
Yes. Its stack includes Epic Systems and Cerner, with FHIR, HL7 and OAuth 2.0 supporting EHR integrations, and job posts cite real-time and batch data integration work.
Yes. Engineering is the largest hiring area, followed by product and legal, with most openings at senior level or above and all roles based in the United States.
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Abridge's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.