Abridge
Enterprise ambient AI documentation platform that turns clinical conversations into structured notes inside Epic, with per sentence audit evidence.
Abridge is an ambient AI clinical documentation platform that turns patient and clinician conversations into structured, billable notes inside the EHR. Founded in 2018 by Shiv Rao, a practicing cardiologist, and Carnegie Mellon machine learning professor Zachary Lipton, the Pittsburgh company serves more than 250 health systems, including Kaiser Permanente across roughly 25,000 physicians, Mayo Clinic, Johns Hopkins, Duke Health, UPMC, and the VA, and has raised about $812 million, most recently a $300 million Series E led by Andreessen Horowitz and Khosla Ventures at a $5.3 billion valuation, followed by a $316 million extension in April 2026.
The product's defining strength is depth inside Epic. Abridge embeds across Haiku, Canto, and Hyperdrive with bidirectional note sync, recognizes conversations in more than 28 languages, and covers 55 plus specialties across outpatient, inpatient, and emergency settings.
Its Linked Evidence feature maps every part of a generated note back to the source audio, so a clinician can verify any sentence against what was actually said before signing.
A contextual reasoning engine incorporates prior encounter data, clinical guidelines, and individual documentation style, and the platform has expanded into structured orders, coding context for revenue cycle teams, and real time prior authorization through a collaboration with Highmark Health and Allegheny Health Network.
Abridge is enterprise only. There is no self serve signup, no individual plan, and no public pricing; contracts are negotiated with health systems, and third parties estimate roughly $2,500 per clinician per year, with implementation scope and integration depth moving the number. For a large Epic health system, the procurement model is the point. For a solo clinician it is the wrong starting place. The evidence base includes an independent peer reviewed study of ambient AI documentation, conducted with Kaiser Permanente across 1,306 clinicians and published in NEJM AI.
Vendor details
Canonical URL
https://www.abridge.com
Category
Healthcare agent
Subcategory
Clinical documentation
Funding status
Independent. Founded 2018 in Pittsburgh by Shiv Rao, a practicing cardiologist, and Zachary Lipton of Carnegie Mellon. Raised about $812 million, including a $300 million Series E led by Andreessen Horowitz and Khosla Ventures in June 2025 at a $5.3 billion valuation and a $316 million extension in April 2026.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Deep Epic integration, embedding across Haiku, Canto, Hyperdrive and the ASAP emergency module as the first partner in Epic's Partners and Pals and Workshop programs, with bidirectional note sync and chart write back, plus an athenahealth partnership. Availity's FHIR native payer APIs are embedded for real time prior authorization. Recognizes conversations in more than 28 languages across 55 plus specialties in outpatient, inpatient, emergency and nursing settings, with orders and coding context workflows.
In practice
Your health system runs on Epic and clinicians are drowning in after hours charting. Abridge embeds in Haiku, Canto, and Hyperdrive and drafts the note during the visit itself.
Compliance wants proof behind every AI generated note. Linked Evidence maps each sentence back to the source audio, so clinicians verify against the actual conversation before signing.
Prior authorizations stall care for days. Abridge analyzes visit dialogue against payer requirements in real time and prompts for missing documentation, moving approvals toward minutes.
Sources & related URLs
Research sources
Agentic Index coverage score
6.5 / 14 capabilities · 46%
| Integrations & Tool Calling | Full |
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Embedded across Epic Haiku, Canto, Hyperdrive and the ASAP emergency module as the first partner in Epic's Partners and Pals and Workshop programs, with bidirectional note sync and write back into the chart, an athenahealth partnership, and Availity's FHIR native payer APIs embedded for prior authorization. Sourceabridge.com/press-release/abridge-inside-emoryread 2026-09-29 |
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| Workflow Orchestration | Partial |
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Fixed function pipelines chain capture, note generation, structured orders, coding context for revenue cycle, and prior authorization with payer determination during the visit; the sequence is product defined rather than a customer configurable or multi agent workflow surface. Sourceabridge.com/press-release/abridge-availity-collaboration-announcementread 2026-09-29 |
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| Knowledge Grounding & RAG | Partial |
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The Contextual Reasoning Engine integrates data from previous patient encounters, health system-specific guidelines and clinician preferences, context-aware evidence surfaces clinical insights from UpToDate, NEJM and JAMA contextualized to the encounter, and payer coverage requirements arrive through Availity's FHIR-native APIs for prior authorization. Context is assembled per encounter and the literature is vendor-curated; no maintained retrieval structure over the customer's own knowledge is described. Sourceabridge.com/abridge-contextual-reasoning-engineread 2026-09-29 |
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| Human Oversight & Guardrails | Full |
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Clinician review and sign off is the mandatory step of the core workflow: the product drafts a note that no one can commit to the record without a clinician editing and signing it, and Linked Evidence exists specifically so each sentence can be verified against source audio before signing. Sourceabridge.com/press-release/abridge-inside-emoryread 2026-09-29 |
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| Security, Identity & Governance | Full |
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Trust center documents SOC 2 Type 1 and Type 2 validated by an independent auditor for security and confidentiality, plus HIPAA, TX-RAMP and CCPA, alongside named customer facing controls: audit logging, event and audit log management, single sign on, multi factor authentication, role based access, application and network penetration testing, and certificates of destruction, with a published security whitepaper, network diagram, model cards and subprocessor list. Sourcetrust.abridge.comread 2026-08-30 |
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| Observability & Auditability | Full |
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Linked Evidence makes notes auditable by tying each AI-generated output to its source information across all input data, so every sentence of the note carries a record of what it was drawn from, and the trust center documents detailed audit logs of system activity, including access to and modification of sensitive data, kept in immutable storage. No run or step view of the scribe's work is described. Sourceabridge-contextual-reasoning-engine and trust.abridge.com; abridge.com/abridge-contextual-reasoning-engineread 2026-09-29 |
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| Memory & State Persistence | Partial |
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Editing tools adapt to clinician preferences, and the Contextual Reasoning Engine carries clinician preferences and data from previous patient encounters into each note. This is per clinician style personalization with no stated lifetime, review or deletion path. Sourceabridge.com/platform/cliniciansread 2026-09-29 |
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| Deployment & Data Residency | Not documented |
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SaaS only, hosted on Google Cloud with US based data centers and no customer selectable region, no VPC, no on premises and no deployment inside the customer's own tenant; TX-RAMP authorization and BC/DR alternate processing sites are compliance and continuity rather than residency control. Sourcetrust.abridge.comread 2026-08-30 |
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| Prebuilt Agents, Templates & Packs | Partial |
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Ships note structures tuned per setting and specialty across 55 plus specialties and 28 plus languages, with purpose built variants for emergency medicine, inpatient and nursing documentation co developed with Mayo Clinic and Epic; these are vendor built product variants rather than a customer installable template or agent pack library. Sourceabridge.com/press-release/abridge-inside-for-emergency-medicine-announcementread 2026-09-29 |
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| Triggers & Channel Coverage | Partial |
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Ambient capture is clinician initiated across iOS, Android and Epic desktop and mobile surfaces in outpatient, inpatient and emergency settings, launched from the ED track board in Haiku, with speech models detecting specialty, language and multiple speakers without manual adjustment; invocation is in workflow rather than event or schedule triggered. Sourceabridge.com/press-release/abridge-inside-for-emergency-medicine-announcementread 2026-09-29 |
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| Model Flexibility & Routing | Not documented |
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The trust center subprocessor list names OpenAI and Google Cloud as data service vendors, so a model provider is disclosed, but no second model is named, no routing between models is described, and no customer or admin model selection surface exists. Sourcetrust.abridge.comread 2026-08-30 |
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| APIs, SDKs & MCP Extensibility | Not documented |
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No API, SDK, developer portal or MCP server for Abridge's own platform is published; integration runs through native Epic embedding and partner connections. A third-party research profile reports an API for licensed developers, which no first-party page confirms. Sourceabridge.com, platform/clinicians, abridge-contextual-reasoning-engine and trust.abridge.comread 2026-09-29 |
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| Testing, Debugging & Optimization | Not documented |
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Published model cards on the trust center and an independent peer reviewed study with Kaiser Permanente across 1,306 clinicians in NEJM AI document evaluation of the product, but no customer facing testing, evaluation or regression harness is offered; clinician correction at sign off is the only feedback path. Sourcetrust.abridge.comread 2026-08-30 |
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| Browser & Computer Use | Not documented |
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Operates through ambient audio capture and native EHR embedding with write back through Epic's own interfaces; no agent operates third party software through a browser or computer interface. Sourceabridge.com/press-release/abridge-inside-emoryread 2026-09-29 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Recent platform changes
While clinicians chart an inpatient stay, Abridge's Query Engine now points to care already discussed or assessed, such as whether wounds were present on admission or what was decided in a goals of care conversation. Each cue shows its evidence and can be acted on or dismissed in one step, and none of them block signing the note.
Bears on: Human approval / guardrails
View sourceAbridge launched pre bill review for clinical documentation integrity and coding teams. It checks inpatient claims before submission, comparing coded diagnoses and DRGs against the clinical record and surfacing discrepancies with evidence, while the team decides what to hold, correct or release.
Bears on: Agent capability
View sourceAbridge introduced Pre-Visit Summaries that provide a concise, linked overview of a patient's history and active problems before an encounter. The update also includes explainable level-of-service coding recommendations that show the reasoning behind calculations, alongside improvements to speaker attribution for ambient conversations.
Bears on: Workflow orchestration
View sourcePricing
Contact sales; third parties estimate about $2,500 per clinician per year
seats (per clinician per year)
Included quota
Enterprise license per clinician. No public tiers; pilots precede large rollouts, and some clinicians gain access through their health system or insurer at no direct cost.
What is public
Nothing numeric from the vendor. Third party estimates cluster around $2,500 per clinician per year, with reported ranges from roughly $150 to $300 per clinician per month depending on deal size.
Billing mechanics
Annual enterprise subscription licenses priced per clinician, negotiated per health system on size, complexity, features, and EHR integration depth. No individual plan, no self serve signup.
Cost watchouts
Implementation, EHR integration, and training are typically bundled into negotiated contracts, and full implementations reportedly range from $250 to $500 per provider per month at some organizations. Multi year and volume terms move the effective rate.
Variable cost rationale
Seat based enterprise license per clinician per year largely captures the cost; implementation scope and integration depth move the negotiated rate, not usage metering.
Additional watchouts
Enterprise only: solo practitioners and small groups cannot buy directly, and procurement can take months. Estimates vary widely by source, so budget from a negotiated quote, not published figures.
Overage / add-ons
No usage metering documented; contracts are negotiated per health system on seats, scope, and integration depth.
Sales call required
Yes, required for paid access
Free / trial
No self serve trial; organizational pilot programs precede rollouts
Lowest paid plan
None public; enterprise contract only
Commercial notes
Independent, about $812 million raised, $5.3 billion valuation. More than 250 health systems including Kaiser Permanente, Mayo Clinic, Johns Hopkins, Duke, and UPMC.
Key ambiguities
No vendor published rate at all; third party estimates span roughly $2,500 to $7,200 per clinician per year depending on source and contract scope.
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Alternatives to Abridge
The closest documented capability profiles to Abridge among healthcare agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- DeepScribe5.5 / 14A lighter documented profile than Abridge
- Ambience Healthcare7.5 / 14Adds documented APIs, SDKs & MCP ExtensibilityAbridge vs Ambience Healthcare →
- Freed5.5 / 14Fuller documented coverage on Triggers & Channel Coverage
- mdhub7.5 / 14Fuller documented coverage on Workflow Orchestration and Prebuilt Agents, Templates & Packs
- Suki6.5 / 14Adds documented APIs, SDKs & MCP ExtensibilityAbridge vs Suki →
- AlethianAI7.0 / 14Fuller documented coverage on Workflow Orchestration and Prebuilt Agents, Templates & Packs
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded