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AKASA

Also known as: Unified Automation

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Generative AI for the healthcare revenue cycle with institution tuned LLMs spanning coding, CDI, prior auth, and claims, deployed across Cleveland Clinic US locations with sentence level justification for every suggested code.

AKASA provides generative AI for the healthcare revenue cycle spanning prior authorization, clinical documentation integrity, coding, and claims management. Its models are institution tuned LLMs trained on clinical and financial data, reasoning over patient records that average 60 documents and 50,000 words, with some clients running all hospital billing through AI review while humans validate results.

The platform provides justifications that point reviewers to the exact sentence in the medical record supporting each suggested code. A strategic collaboration with Cleveland Clinic (announced April 2025) deploys AKASA coding and CDI tools across Cleveland Clinic's US locations, where staff previously reviewed 100+ clinical documents per case against more than 140,000 code options.

Vendor details

Canonical URL

https://akasa.com

Category

Healthcare agent

Funding status

Venture backed

Company status

independent

Use cases & customers

Primary use cases

GenAI medical codingclinical documentation integrityprior authorizationclaims management

Target customers

health systemshospitalsacademic medical centers

Deployment options

SaaS

Integrations

Sits on top of existing EHR systems without requiring overhaul; deployed across Cleveland Clinic US locations in the mid revenue cycle; integration catalog not publicly documented.

Agentic Index coverage score

6.0 / 14 capabilities · 43%

Integrations & Tool Calling Partial

Sits on top of existing EHR systems without requiring an overhaul, but no integration catalog is publicly documented, AKASA materials 2026-07-22

Workflow Orchestration Full

Unified Automation platform spans revenue cycle workflows from prior authorization through CDI, coding, and claims management, AKASA site 2026-07-22

Knowledge Grounding & RAG Full

Institution tuned LLMs trained on clinical and financial data reason over patient records averaging 60 documents and 50,000 words, a documented site specific grounding approach, Healthcare IT Today via CEO 2026-07-22

Human Oversight & Guardrails Full

Human reviewers validate AI output with deterministic checks and review queues, and justifications point to the exact supporting sentence in the record, AKASA materials and third party analysis 2026-07-22

Security, Identity & Governance Unable to verify

No security certifications or identity governance documented in retrieved materials, AKASA materials 2026-07-22

Observability & Auditability Full

Sentence level justifications for every suggested code point human reviewers to the exact supporting text, with auditable billing decisions emphasized in production design, AKASA materials and third party analysis 2026-07-22

Memory & State Persistence Unable to verify

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

Deployment & Data Residency Partial

SaaS layered on existing EHR systems; no self host or residency options documented, AKASA materials 2026-07-22

Prebuilt Agents, Templates & Packs Partial

Solution modules across coding, CDI, prior authorization, and claims management; product modules rather than an agent library, AKASA site 2026-07-22

Triggers & Channel Coverage Partial

Coding can begin when clinical documentation completes, but the trigger surface is not documented as first class, third party platform analysis 2026-07-22

Model Flexibility & Routing Unable to verify

Proprietary institution tuned LLMs; no customer facing model choice or routing, AKASA materials 2026-07-22

APIs, SDKs & MCP Extensibility Unable to verify

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

Testing, Debugging & Optimization Unable to verify

Accuracy measurement and review thresholds are discussed as design considerations but no customer facing testing or evaluation tooling is documented, third party analysis 2026-07-22

Browser & Computer Use Unable to verify

Operates on clinical and financial records within EHR workflows, not browser or computer interface control, AKASA 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. AKASA markets speed to value and cost to collect outcomes; the Cleveland Clinic collaboration is its flagship reference deployment.

Variable cost rationale

Enterprise pricing scoped to encounter volume and module coverage across coding, CDI, prior auth, and claims; no public rates.

Sales call required

Yes, required for paid access

Free / trial

None public

Agentic Index verified 2026-07-22

Alternatives to AKASA

The closest documented capability profiles to AKASA among healthcare agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

  • Anterior7.0 / 14Adds documented Security, Identity & Governance
  • Humata Health5.0 / 14A lighter documented profile than AKASA
  • Latent Health5.0 / 14A lighter documented profile than AKASA
  • CodaMetrix6.5 / 14Adds documented Testing, Debugging & Optimization
  • Cohere Health7.5 / 14Adds documented Security, Identity & Governance
  • CombineHealth8.0 / 14Adds documented Memory & State Persistence and Model Flexibility & Routing, among others

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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