Agentic Index
AKASA vs Nym (2026)
Both vendors last verified
AKASA and Nym both apply AI to hospital coding and sell through a demo, with no public price. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
AKASA works across the mid revenue cycle: Coding and CDI Optimizers review every encounter before billing with cited suggestions that coders approve, plus automated authorization and claim status checks and an AI Advisor. Nym codes encounters autonomously in seconds, routing them to billing above a 95 percent confidence threshold and returning the rest to coders with the findings and guidelines behind every code. Choose AKASA to keep coders approving AI suggestions across coding and documentation integrity, and Nym to code autonomously above a stated bar.
On the Agentic Index healthcare agent ranking, neither AKASA nor Nym clears the bar, which asks for all five chart loop capabilities documented in full. AKASA documents two of the five in full; Nym does not document security and identity governance in full, nor human oversight and guardrails. 4 of the 69 vendors in the lane clear it. See the healthcare agent ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. AKASA and Nym are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose AKASA if
- Coders should approve every AI suggestion before billing.
- Clinical documentation integrity belongs in the same product as coding.
- Authorization and claim status checks should be automated too.
Choose Nym if
- Encounters should be coded autonomously, with only the uncertain ones returned to coders.
- Every code should carry the findings and guidelines behind it.
- Its auditors should keep sampling coded records for critical errors after launch.
| Feature | A AKASA |
N Nym |
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| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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AKASAIntegrations & Tool Calling The platform connects to EHRs and clinical data repositories through an API, EDI or other standards based integrations, and Claim Status returns its interpreted results into the customer's EHR. AKASA does not name the EHRs it writes to. AI Advisor reads live patient data from the EHR securely, and Auth Status checks payer portals and documents the results. SourceAKASA, akasa.com/platform, /solutions/ai-advisor and /solutions/auth-status; akasa.com/solutions/claim-statusread 2026-10-05 |
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NymIntegrations & Tool Calling The engine integrates with major EHRs to take in patient encounters and routes successfully coded encounters directly to the billing system, running in the background of existing workflows. Supported EHRs include Epic, Oracle Health (Cerner) and Meditech, connected through a FHIR based integration designed during discovery. SourceNym, nym.health/autonomous-medical-coding/nym-engine and /implementationread 2026-10-05 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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AKASAWorkflow Orchestration Coding Optimizer runs a fixed five step flow (review encounters, analyze, present suggestions, coder validates, coder approves), and the Prebill Optimization Suite unifies coding and CDI review. The pipeline is fixed, and AKASA names no branching, conditions, multiple agents or flow the customer configures. SourceAKASA, akasa.com/solutions/coding-optimizerread 2026-10-05 |
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NymWorkflow Orchestration The engine parses the chart with CLU, assigns codes and routes the encounter to billing when coding confidence exceeds 95 percent, returning the rest to the customer's coders. Sourcenym.health/autonomous-medical-coding/the-technologyread 2026-09-29 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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AKASATriggers & Channel Coverage Coding Optimizer reviews 100 percent of encounters automatically at the prebill stage, and Auth Status obtains well timed statuses for pending authorization requests without staff starting it. Coding Optimizer covers every service line and ranks opportunities by DRG impact, quality indicators and AI confidence. SourceAKASA, akasa.com/solutions/coding-optimizer and /solutions/auth-statusread 2026-10-05 |
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NymTriggers & Channel Coverage The engine runs in the background, taking a first pass at patient encounters as they arrive and coding them in seconds without a person starting each one. Nym says the engine assigns those codes with zero human intervention. SourceNym, nym.health and /autonomous-medical-coding/nym-engineread 2026-10-05 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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AKASAKnowledge Grounding & RAG AI Advisor gives cited answers from live EHR data and clinical documentation for each query, and AKASA's models are trained on 57 million clinical documents and counting, with tailored models fine tuned on a health system's own data. AKASA names no retrieval structure it maintains over the organization's own knowledge. Revenue cycle staff use AI Advisor for prior authorization, denials, preparing peer to peer calls and clinical validation. SourceAKASA, akasa.com/solutions/ai-advisor and /platformread 2026-10-05 |
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NymKnowledge Grounding & RAG Clinical Language Understanding combines machine learning with rules based clinical ontologies encoding AMA, CMS and WHO coding guidelines, which Nym's compliance and clinical teams update on each effective date (annual CPT and ICD-10, quarterly NCCI, ongoing HCPCS). Each code links to the guidelines it applied. CLU reads clinical context, negation, timing and subjectivity, so a note saying the patient denies chest pain is not coded as chest pain. SourceNym, nym.health/autonomous-medical-coding/the-technologyread 2026-10-05 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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AKASAMemory & State Persistence The tool has no memory that AKASA names, and nothing is said about what memory would hold or for how long. Every review, by AKASA's account, helps the tool adapt to workflows, provider styles and evolving coding guidelines. SourceAKASA, akasa.com/accuracyread 2026-10-05 |
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NymMemory & State Persistence Each encounter is coded on its own, from its own documentation against maintained guidelines. Nym names no memory for the engine, what it would keep or for how long. SourceNym, nym.health/autonomous-medical-coding/the-technologyread 2026-10-05 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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AKASAHuman Oversight & Guardrails Coders validate each AI suggestion against its justification and direct quotes and approve the codes before they are applied. The system does not code encounters on its own. Staff accept or reject each recommendation directly in the platform. SourceAKASA, akasa.com/solutions/coding-optimizer and /accuracyread 2026-10-05 |
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NymHuman Oversight & Guardrails A 95 percent confidence threshold decides which encounters go straight to billing and which return to human coders. Coded encounters reach billing without humans approving the codes, so people review only the encounters that fall below the threshold. After launch, the customer needs no regular staff time for daily production. SourceNym, nym.health/autonomous-medical-coding/nym-engine and /implementationread 2026-10-05 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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AKASASecurity, Identity & Governance AKASA claims HITRUST CSF, SOC 2 Type 2, NIST 800-53 and CIS, with MFA, access logging for PHI and FIPS 140-2 encryption on AWS. It names no SSO, roles or other customer access model. Its AWS setup follows CIS Level 1 hardening with network and host firewalls, isolated subnetworks, a ZeroTrust VPN and monitoring of automation and access around the clock. SourceAKASA, akasa.com/platform/trust-securityread 2026-10-05 |
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NymSecurity, Identity & Governance Nym is SOC 2 Type II certified and ISO/IEC 27001:2022 certified for its coding software, and HIPAA compliant. It names no SSO, roles or permission model for the customer's users. Sourcenym.health/autonomous-medical-coding/nym-engineread 2026-09-29 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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AKASAObservability & Auditability Each suggestion carries clinical evidence, coding references, direct quotes, links to the supporting documentation and a confidence score, so each decision comes with its rationale. AKASA names no audit log or run record of what the AI read and did. Its PHI access logging is a security control for AKASA's own systems. Reporting is one of the platform's five parts. SourceAKASA, akasa.com/solutions/coding-optimizer and /platformread 2026-10-05 |
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NymObservability & Auditability Every coded encounter carries an audit trail showing the clinical findings behind each code, links to the guidelines applied and the reasoning for the assignment, and customized dashboards report coding performance in real time. Sourcenym.health/why-nymread 2026-09-29 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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AKASADeployment & Data Residency Hosting is on AWS, with no region, region choice, customer environment or on premises option named. That AWS environment follows CIS Level 1 hardening. SourceAKASA, akasa.com/platform/trust-securityread 2026-10-05 |
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NymDeployment & Data Residency Implementation takes 3 to 6 months from contract to launch, in five phases, with a project champion, a coding lead and a technical team on the customer's side. Nym names no hosting region, region choice, customer environment or on premises option. SourceNym, nym.health/autonomous-medical-coding/implementationread 2026-10-05 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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AKASAPrebuilt Agents, Templates & Packs Separately adoptable named products each do their own job. They are Coding Optimizer, CDI Optimizer, AI Advisor, Auth Status and Claim Status, with the Prebill Optimization Suite bundling coding and CDI. Behind the products sits an in house team of revenue cycle experts averaging 15+ years in the industry. SourceAKASA, akasa.com/solutions and /platformread 2026-10-05 |
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NymPrebuilt Agents, Templates & Packs One coding engine covers six specialties and service lines, which are emergency medicine, radiology, outpatient surgery, outpatient visits, inpatient professional services and urgent care. They are specialties within a single product, not separate products. SourceNym, nym.health/autonomous-medical-coding/nym-engineread 2026-10-05 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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AKASAModel Flexibility & Routing The models are AKASA's own healthcare models, trained on 57 million clinical documents and counting, and tailored models fine tuned on a health system's own data. AKASA names no outside provider and offers no customer model choice. SourceAKASA, akasa.com/platformread 2026-10-05 |
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NymModel Flexibility & Routing Coding runs on Nym's own machine learning models and rules based clinical ontologies (CLU). Nym names no third party model, routing or customer choice. It does not name its model architectures either. SourceNym, nym.health/autonomous-medical-coding/the-technologyread 2026-10-05 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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AKASAAPIs, SDKs & MCP Extensibility There is no published API, SDK or MCP server for the AKASA platform. The API AKASA names is how it reads the customer's EHR, which runs the other way. Integration is one of the platform's five parts, alongside generative AI, experts, reporting and security. SourceAKASA, akasa.com/platformread 2026-10-05 |
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NymAPIs, SDKs & MCP Extensibility The EHR and billing connections move data, and Nym's team builds them as designed during discovery. Nym publishes no API, SDK or MCP server for customers to build on. SourceNym, nym.health/autonomous-medical-coding/implementationread 2026-10-05 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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AKASATesting, Debugging & Optimization Staff accept or reject each recommendation, and AKASA says every review helps the tool adapt to the organization's workflows, provider styles and coding guidelines. AKASA does not explain how that learning works or report its results, and it names no evaluation harness or customer accuracy monitoring. It measures outcomes as net new revenue per 10,000 discharges and gains in quality indicators such as risk adjustment and severity capture. SourceAKASA, akasa.com/accuracyread 2026-10-05 |
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NymTesting, Debugging & Optimization Launch requires 95 percent or better accuracy on a user acceptance audit of the customer's historical charts, along with a 12 hour turnaround. Nym's auditing team audits a random subset of records the engine coded for critical errors, and Nym and the customer evaluate accuracy against the 95 percent threshold on an ongoing basis. SourceNym, nym.health/autonomous-medical-coding/implementationread 2026-10-05 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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AKASABrowser & Computer Use Claim Status continuously adapts to changing payer portals, and Auth Status obtains statuses on payer portals, so both act inside third party platforms. AKASA does not say how, and it names no other browser, desktop or computer control. Auth Status checks payer portals automatically in place of manual lookups, and Montage Health cut its auth work queue by 22%. SourceAKASA, akasa.com/solutions/auth-statusread 2026-10-05 |
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NymBrowser & Computer Use The engine works on clinical text through EHR and billing interfaces, layered on top of the customer's existing enterprise IT stack. Nym names no browser, desktop or computer control. SourceNym, nym.health/autonomous-medical-coding/nym-engineread 2026-10-05 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | A AKASA |
N Nym |
|---|---|---|
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Entry price Lowest public entry point |
Contact sales; no pricing published | Contact sales |
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Pricing confidence How public the numbers are |
Contact only | Contact only |
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Billing Primary billing axis |
— | — |
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Variable cost Workload / overage exposure |
High variable cost | High variable cost |
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Free tier / trial Try before you buy |
No free tier
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No free tier
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Buying motion Self-serve vs sales call |
Sales call | Sales call |
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Pricing verified When this pricing was last checked |
Neither AKASA nor Nym lists a price, and both start with a demo.
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