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Fathom

Also known as: Fathom Health

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Autonomous medical coding platform with KLAS validated 90%+ automation rates, HITRUST i1 certification, and a CVS Health Ventures strategic investment, spanning facility, professional fee, coding review, and risk adjustment workflows.

Fathom is an autonomous medical coding platform founded in 2017 that fuses deep learning and NLP to code patient encounters touchlessly across facility and professional fee workflows, claiming the highest automation rates and broadest specialty coverage in the category. Its product suite spans autonomous coding, E/M capture and provider assignment, coding review that audits human coder output and flags problematic coding, and retrospective risk adjustment coding capturing HCCs at scale.

A March 2026 deployment at Your Health achieved a 95.5 percent encounter level automation rate with accuracy improving from 96.3 to 98.3 percent across roughly 1 million annual visits. Fathom holds HITRUST i1 certification, scored 95.5 of 100 in KLAS Research's first autonomous coding report (Aug 2025), was ranked the number 1 solution for Reducing the Cost of Care in the 2025 KLAS Emerging Solutions Top 20, and took a strategic investment from CVS Health Ventures in May 2026 to expand with providers and health plans.

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

autonomous medical codingE/M capturecoding review and auditretrospective risk adjustment / HCC capture

Target customers

health systemsphysician groupshealth plans

Deployment options

SaaSGoogle Cloud Marketplace

Integrations

Available on Google Cloud Marketplace; serves facility and professional coding across health system service lines; EHR integration catalog not publicly documented.

Agentic Index coverage score

6.0 / 14 capabilities · 43%

Integrations & Tool Calling Partial

Google Cloud Marketplace availability and deployments across diverse care settings, but no EHR integration catalog publicly documented, Fathom materials 2026-07-22

Workflow Orchestration Full

Touchless autonomous coding across all service lines and places of service spanning facility and professional fee workflows, validated at 95.5 percent encounter level automation, Fathom deployment release 2026-07-22

Knowledge Grounding & RAG Partial

Deep learning and NLP fusion grounded in clinical documentation; no distinctive documented knowledge architecture comparable to ontology based rivals, Fathom materials 2026-07-22

Human Oversight & Guardrails Partial

Non automated encounters route to human coders and the review product flags problematic coding for human review, but no published confidence threshold policy governs the boundary, Fathom materials 2026-07-22

Security, Identity & Governance Full

HITRUST i1 certification announced first party for data protection and privacy in autonomous medical coding, Fathom Dec 2024 release 2026-07-22

Observability & Auditability Partial

Coding review product surfaces errors and flags problematic coding, with KLAS validated automation rates, but no per code audit trail documented, Fathom site 2026-07-22

Memory & State Persistence Unable to verify

No documented persistent agent memory capability, Fathom materials 2026-07-22

Deployment & Data Residency Partial

SaaS with Google Cloud Marketplace distribution; no self host or residency options documented, Fathom materials 2026-07-22

Prebuilt Agents, Templates & Packs Partial

Product suite across autonomous coding, E/M capture, coding review, and risk adjustment with broad specialty coverage; product modules rather than an agent library, Fathom site 2026-07-22

Triggers & Channel Coverage Partial

Encounter driven autonomous processing; trigger surface not documented as first class, Fathom materials 2026-07-22

Model Flexibility & Routing Unable to verify

Proprietary deep learning and NLP stack; no customer facing model choice or routing, Fathom materials 2026-07-22

APIs, SDKs & MCP Extensibility Unable to verify

No public developer API, SDK, or MCP surface documented, Fathom materials 2026-07-22

Testing, Debugging & Optimization Partial

Customer facing coding review product audits coder output and flags errors, and automation rates carry third party KLAS validation, though no published threshold regime, Fathom materials 2026-07-22

Browser & Computer Use Unable to verify

Operates on clinical documentation, not browser or computer interface control, Fathom materials 2026-07-22

The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify 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 public pricing. Fathom publishes deployment outcomes (95.5% automation at 98.3% accuracy at Your Health) and KLAS validation rather than commercial terms.

Variable cost rationale

Enterprise pricing scoped to encounter volume and specialty mix; no public rates.

Sales call required

Yes, required for paid access

Free / trial

None public

Agentic Index verified 2026-07-22

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.

  • Adonis5.0 / 14A lighter documented profile than Fathom
  • Commure7.0 / 14Adds documented Memory & State Persistence
  • Freed5.0 / 14Adds documented Memory & State Persistence
  • Heidi5.0 / 14Fuller documented coverage on Knowledge Grounding & RAG
  • Humata Health5.0 / 14Fuller documented coverage on Knowledge Grounding & RAG
  • OpenEvidence6.0 / 14Adds documented Model Flexibility & Routing

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

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