Charta Health
Also known as: Charta, chartahealth.com
Pre bill AI chart review platform reading one hundred percent of encounters immediately after note close, with configurable oversight from autocorrect in the EHR to human review queues, and document citations behind every decision.
Charta Health attacks a different point in the revenue cycle from the autonomous coding vendors it sits beside. Its target is pre bill chart review, and the statistic it builds on is stark: because manual review requires specialists to comb through thousands of records, fewer than one percent of charts are ever actually reviewed. Charta reviews one hundred percent of them, immediately after each encounter note closes and before the claim goes out.
Founded in 2022, it raised 30 million dollars in a single year, an 8.1 million dollar seed in March followed by a 22 million dollar Series A, both led by Bain Capital Ventures with Madrona, SV Angel, Refract Ventures and South Park Commons participating. Healthcare organisations across 43 states use it, and reported outcomes include 10.6 times the chart coverage per full time employee, a 72 percent improvement in accuracy, and revenue increases averaging 11 percent measured through relative value units per patient, reaching 15.2 percent at the top end.
The design choice that distinguishes it is configurable oversight. Charta can autonomously code every note, autocorrect coding mistakes directly in the EHR, send automated notes back to the provider, or queue problem charts for human intervention, and the practice chooses how much oversight it wants rather than accepting the vendor default. Every decision is backed by detailed reasoning and document citations, so a reviewer validates against the source rather than trusting a score, and the organisation is audit ready by construction.
Scope runs wider than coding: payer compliance validation against payer specific logic rather than one generic rule set, provider performance management, clinical quality measures and risk adjustment, all from the same review of every encounter. Each customer gets a dedicated AI engineer who trains the model to the organisation standards and retrains it on feedback from providers and revenue cycle teams. Evaluation is unusually concrete, with a sample batch of historical charts and claims run through the system so a buyer sees what would have been caught before paying anything. Compliance covers HIPAA, SOC 2 and GDPR, with reports available on request.
Vendor details
Canonical URL
https://www.chartahealth.com
Category
Healthcare agent
Company status
independent
Use cases & customers
Target customers
Deployment options
In practice
Fewer than one percent of your charts get reviewed because manual audit does not scale. Charta reviews every encounter pre bill, immediately after the note closes.
You want autonomy but not the same amount everywhere. Oversight is configurable, from autocorrecting directly in the EHR through provider notes to queueing problem charts for a human.
You want evidence before signing. Upload a batch of past charts and claims and see the coding opportunities the AI would have captured before paying anything.
Sources & related URLs
Agentic Index coverage score
10.0 / 14 capabilities · 71%
| Integrations & Tool CallingBuilt in integrations across a documented list of EHR systems, reading provider documentation immediately after a note closes and writing corrections back into the EHR directly. AI engineers customise every integration per organisation. 2026-08-05 | Full |
|---|---|
| Workflow OrchestrationRuns an end to end loop on every encounter: read documentation on note close, code the visit, detect missed or unsupported codes and E and M levelling inconsistencies, then route the correction through autocorrect, a provider note or a billing work queue, with feedback returning to providers in real time. 2026-08-05 | Full |
| Knowledge Grounding & RAGApplies PAYER SPECIFIC compliance logic rather than one generic rule set, using language models custom built with modern healthcare billing knowledge, and every decision carries document citations back to the supporting clinical documentation. 2026-08-05 | Full |
| Human Oversight & GuardrailsOVERSIGHT IS A CONFIGURATION, NOT A VENDOR DEFAULT. Charta can autonomously code every note, autocorrect mistakes directly in the EHR, send automated provider notes, or queue problem charts for human intervention, explicitly customised to the practice preferred level of human oversight, with reviewers approving or rejecting each opportunity against direct citations. 2026-08-05 | Full |
| Security, Identity & GovernanceHIPAA, SOC 2 and GDPR compliant with compliance reports available on request through a published compliance address. Note for comparison: no HITRUST at any level, where fathom holds i1 certification and arintra holds e1. 2026-08-05 | Full |
| Observability & AuditabilityEvery AI decision is backed by detailed reasoning and DOCUMENT CITATIONS so an organisation is audit ready by construction, with reviewers validating against the source rather than a score, plus analytics across one hundred percent of encounters covering coding accuracy, documentation compliance and clinical quality. 2026-08-05 | Full |
| Memory & State PersistenceA dedicated AI engineer trains the model to the organisation audit criteria and regularly retrains the environment on feedback from providers and revenue cycle teams, so organisational standards persist and sharpen, and analytics accumulate across every encounter for trend analysis. 2026-08-05 | Full |
| Deployment & Data ResidencyCloud delivered and integrated into the customer EHR. No self hosted, private cloud or regional data residency option is documented. 2026-08-05 | Unable to verify |
| Prebuilt Agents, Templates & PacksShips packaged solutions by role and job covering revenue integrity, payer compliance, provider performance management, clinical quality and risk adjustment, but these are use case framings over one review engine rather than a catalogue of prebuilt agents or templates. 2026-08-05 | Partial |
| Triggers & Channel CoverageReview triggers automatically the moment a provider closes an encounter note, running in real time across one hundred percent of charts rather than on a batch or sampling schedule, which is the entire architectural difference from retrospective audit. 2026-08-05 | Full |
| Model Flexibility & RoutingUses language models custom built with healthcare billing knowledge, but no model list, provider disclosure, routing policy or customer facing selection is documented. Consistent with fathom, rapidclaims and arintra, so this is a category wide pattern. 2026-08-05 | Unable to verify |
| APIs, SDKs & MCP ExtensibilityA documented list of built in EHR integrations with per organisation customisation by Charta AI engineers, and audit criteria configurable by the customer, but no public developer API, SDK or MCP surface is documented. 2026-08-05 | Partial |
| Testing, Debugging & OptimizationOffers a RETROSPECTIVE BACKTEST as the evaluation path: upload a sample batch of past charts and billing claims and see the coding opportunities the AI would have captured, reviewed by the buyer before paying anything, plus a negotiable free trial period. That is a genuine buyer run evaluation against their own history rather than a vendor accuracy claim, and it is rare across this index. 2026-08-05 | Full |
| Browser & Computer UseNo browser control or computer use capability. Corrections are written into the EHR through integration rather than by operating an interface. 2026-08-05 | Unable to verify |
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
Not published
not disclosed
What is public
Nothing on price. Outcome figures, funding and the evaluation path are published in detail.
Billing mechanics
Not established. No pricing page or rate card was found. The company routes buyers through a backtest and a jointly defined free trial rather than published terms, and includes a dedicated AI engineer who trains the model to the organisation standards during onboarding and retrains it on ongoing feedback.
Cost watchouts
A dedicated Charta AI engineer trains and retrains the customer environment, which is a service component that should be scoped for continuity as well as cost
Variable cost rationale
Cannot be assessed without a disclosed billing unit. Peers price per encounter or per record so volume linked exposure is likely, but that is inference rather than evidence.
Additional watchouts
Note the position in the stack before comparing on price. Charta reviews coding pre bill rather than performing the primary coding, so it can in principle sit over another vendor output, which makes a like for like comparison with fathom, rapidclaims or arintra misleading. On compliance, Charta holds HIPAA, SOC 2 and GDPR but no HITRUST at any level, where two of those three competitors hold HITRUST certification.
Sales call required
Yes, required for paid access
Free / trial
Buyer run backtest on a sample batch of historical charts and claims, reviewed before paying anything, plus a free trial period the company states it will define jointly with the customer
Commercial notes
The commercial argument rests on a coverage gap rather than a unit cost. Fewer than one percent of charts are reviewed under manual sampling, so the claim is not that Charta is cheaper per chart but that the other ninety nine percent were never reviewed at all. Reported outcomes are 10.6 times chart coverage per full time employee, a 72 percent accuracy improvement, and revenue up 11 percent on average through relative value units per patient, reaching 15.2 percent. Customers span 43 states, and the company raised 30 million dollars in a single year led by Bain Capital Ventures.
Key ambiguities
No rate, unit or contract structure is published. Whether Charta charges per chart, per provider, per encounter or as a subscription is undisclosed, which prevents direct comparison against fathom per encounter, rapidclaims per medical record or the wider category benchmark of 0.50 to 3.00 dollars per chart.
Missing data
Everything commercial: unit, rate, contract length, minimum volumes, and whether the AI engineer service is bundled or billed.
Related vendors
- Abridge — Enterprise ambient AI documentation platform, Best in KLAS 2025 and…
- Adonis — AI orchestration platform for revenue cycle management whose…
- AKASA — Generative AI for the healthcare revenue cycle with institution…
- Alaffia Health — Agentic AI platform for health plan claims operations that pairs…
- AlethianAI — AI native multi agent healthcare platform that automates clinical…
- Almanac Health — Research validated clinical AI platform whose Almanac Copilot acts…
Alternatives to Charta Health
The closest documented capability profiles to Charta Health among healthcare agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Ember Copilot10.0 / 14Adds documented Deployment & Data Residency
- RapidClaims10.0 / 14Fuller documented coverage on Prebuilt Agents, Templates & Packs
- Arintra8.5 / 14A lighter documented profile than Charta Health
- Alaffia Health9.0 / 14Fuller documented coverage on Prebuilt Agents, Templates & Packs
- Assort Health10.0 / 14Adds documented Deployment & Data Residency
- Claim Health9.0 / 14Adds documented Deployment & Data Residency
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded