Fathom
Also known as: Fathom Health
Autonomous medical coding: codes incoming charts direct to bill and passes the rest to the customer's coders, with a real-time audit of coders' work and risk adjustment coding for health plans; HITRUST, HIPAA and SOC 2 Type 2 audited.
Fathom, founded in 2017 in San Francisco, sells autonomous medical coding built on its own deep learning and NLP models, trained on over 750 million patient encounters. The system reviews incoming charts, codes those it can and sends them direct to bill, and passes the rest to the customer's coding operation, across facility and professional fee service lines including E/M capture and provider assignment.
Audit complete checks every chart coded by a customer's coders or coding vendor in real time and flags potential denials and downcoding, and health plans and value-based providers use Fathom for retrospective risk adjustment coding. Coding is calibrated to each customer's guidelines and payer mix; at Your Health, live since October 2025 on athenahealth, Fathom reports 95.5 percent encounter-level automation at 98.3 percent accuracy (March 2026). Fathom states a CPA-audited HITRUST, HIPAA and SOC 2 Type 2 program, codes across 3,000+ provider sites, and took a strategic investment from CVS Health Ventures in May 2026. Pricing is by quote.
Vendor details
Canonical URL
https://fathomhealth.com
Category
Healthcare agent
Funding status
$61M+ total; $46M Series B Nov 2022 (8VC, Alkeon, Founders Fund, GV, Lightspeed, Cedars-Sinai, Tarsadia) plus CVS Health Ventures strategic investment May 2026
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Coded charts go direct to bill; the Your Health deployment names athenahealth via Data View. No integration catalog or API is published first party.
Sources & related URLs
Research sources
Agentic Index coverage score
5.0 / 14 capabilities · 36%
| Integrations & Tool Calling | Partial |
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Coded charts go direct to bill, and one deployment names its EHR connection (athenahealth via Data View); no integration catalog, write-back mechanism or list of supported EHRs is published first party. Sourcefathomhealth.com/insights/your-health-deploys-fathom-autonomous-medical-coding-to-achieve-95-5-automation-rate-at-98-3-accuracy-rate-across-all-service-linesread 2026-09-29 |
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| Workflow Orchestration | Full |
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Incoming charts are reviewed, those the system can code are coded and sent direct to bill, and the remainder pass to the customer's coding operation, across facility and professional fee service lines. The steps are documented, with each chart either coded without a touch or routed to a coder; no flow builder is offered. Sourcefathomhealth.com/servicesread 2026-09-29 |
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| Knowledge Grounding & RAG | Partial |
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Codes are calibrated to the customer's coding guidelines and payer mix and revised guidelines (such as the emergency medicine E/M changes) are adopted centrally, but the coding knowledge lives in a model trained on 750 million encounters and no maintained knowledge source the system retrieves from is documented. Sourcefathomhealth.com/insights/your-health-deploys-fathom-autonomous-medical-coding-to-achieve-95-5-automation-rate-at-98-3-accuracy-rate-across-all-service-linesread 2026-09-29 |
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| Human Oversight & Guardrails | Partial |
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Charts the system cannot code pass to the customer's coders, but coded charts go direct to bill with no human intervention required, and no approval step or published threshold before a code commits is documented. Sourcefathomhealth.com/servicesread 2026-09-29 |
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| Security, Identity & Governance | Partial |
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A CPA firm audited Fathom's HITRUST (i1 certified), HIPAA and SOC 2 Type 2 compliance, and a vulnerability reporting route is published; access management appears only as a policy heading, with no SSO, roles or permission model documented for the buyer's own users. Sourcefathomhealth.com/securityread 2026-09-29 |
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| Observability & Auditability | Not documented |
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No record of what the automation read and coded per chart, and no reporting surface, is documented; the Audit complete product checks coded charts for denial risk and downcoding, which reviews coders' or a coding vendor's work rather than recording the system's own actions. Sourcefathomhealth.com/servicesread 2026-09-29 |
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| Memory & State Persistence | Not documented |
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No memory layer with a scope or lifetime is documented; each chart is coded from its own documentation. Sourcefathomhealth.com/servicesread 2026-09-29 |
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| Deployment & Data Residency | Not documented |
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No hosting region, region choice, customer environment or on premises option is published. Fathom's own pages do not mention a Google Cloud Marketplace listing, which would be a procurement channel rather than a hosting option in any case. Sourcefathomhealth.com/securityread 2026-09-29 |
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| Prebuilt Agents, Templates & Packs | Full |
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Three offerings each do their own job and stand on their own: coding automation for facility and professional fee charts (with E/M capture and provider assignment), Audit complete, which checks a coder's or coding vendor's work in real time, and retrospective risk adjustment coding for health plans, which has its own RFP guide. Sourcefathomhealth.comread 2026-09-29 |
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| Triggers & Channel Coverage | Full |
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Work starts without a person launching each chart: incoming charts reach the system, and the audit product looks at every coded chart in real time. The feed mechanism is not described. Sourcefathomhealth.com/servicesread 2026-09-29 |
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| Model Flexibility & Routing | Not documented |
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Fathom's own deep learning and NLP models, trained on over 750 million patient encounters, with no customer model choice or routing. Sourcefathomhealth.com/insights/fathom-secures-strategic-investment-from-cvs-health-ventures-to-accelerate-enterprise-wide-autonomous-codingread 2026-09-29 |
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| APIs, SDKs & MCP Extensibility | Not documented |
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Fathom publishes no API, SDK or MCP server for its platform. Sourcefathomhealth.comread 2026-09-29 |
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| Testing, Debugging & Optimization | Not documented |
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No evaluation harness, test set or quality gate the customer runs on the automation is documented; a proof of concept on customer encounters before go-live and accuracy figures measured by client auditors are outcome reports, KLAS surveys are third party customer interviews, and the Audit product reviews coders' work. Sourcefathomhealth.com/servicesread 2026-09-29 |
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| Browser & Computer Use | Not documented |
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No browser, desktop or computer control is documented; the system codes from clinical documentation and sends charts to billing. Sourcefathomhealth.com/servicesread 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
Pricing
Contact sales
What is public
No prices, billing basis or plan names are published; a request-a-quote form and demo requests are the route. Public figures are outcomes: cost reduction claims and the Your Health deployment (95.5 percent automation, 98.3 percent accuracy, March 2026).
Variable cost rationale
No billing basis or rate is published; quotes come by request, so exposure to encounter volume cannot be checked from public pages.
Sales call required
Yes, required for paid access
Free / trial
None public
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Alternatives to Fathom
The closest documented capability profiles to Fathom among healthcare agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Phluence5.0 / 14Matches Fathom across all 14 documented capabilities
- Adonis5.5 / 14Fuller documented coverage on Integrations & Tool Calling
- Marisa.Care5.0 / 14Fuller documented coverage on Integrations & Tool Calling
- AlethianAI7.0 / 14Adds documented Observability & Auditability
- Claim Health6.0 / 14Adds documented Observability & Auditability
- Commure7.0 / 14Adds documented Memory & State Persistence
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded