Charta Health Raises $55M Series B for AI Chart Review

The same clinical note can support a provider's invoice and a health plan's challenge to it. Charta Health is building a business around giving those readers a more consistent account of what the documentation supports, before an argument about payment gets another administrative life of its own.

The San Francisco healthcare AI company announced a $55M Series B on November 10, 2026, led by Insight Partners, with Madrona, Bain Capital Ventures, South Park Commons and QuantumLight participating. Charta is financing further AI development and the expansion of its provider and payer businesses, which use a shared chart-review engine. The company reports $85M in total funding and revenue growth of 10x over the past 12 months.

That expansion carries an interesting commercial ambition. A vendor serving both the organization sending a bill and the organization evaluating it needs an account of accuracy each customer can inspect. For healthcare operators buying AI, Charta's financing puts attention on the documentation and review work that determines whether an automated recommendation deserves to become a financial decision.

What Charta's Series B finances

The round brings a new lead investor into a business that previously raised a $22M Series A led by Bain Capital Ventures in July 2025. Madrona, SV Angel, Refract Ventures and South Park Commons participated in that earlier financing. Charta described total funding then as more than $30M; the new announcement reports $85M across 3 rounds in under 2 years. Those are reported totals at different moments, with no disclosed valuation accompanying the Series B.

The immediate operating agenda includes AI research, more provider specialties and dedicated health-plan products. Charta for Providers reviews clinical documentation against coding guidelines, payer rules and the customer's own protocols. Charta for Payers extends the shared engine into risk adjustment and quality work, initially for Medicare Advantage and ACA Marketplace plans. The company says it developed the payer offering with a large health insurer, whose identity it has not disclosed.

For investors, that creates another route into institutions already spending time interpreting the same clinical record. Insight Partners' investment rationale emphasizes a vendor positioned outside the EHR and a shared standard across payer and provider workflows. Our reading of that decision is commercial as well as technical: each new deployment has to make the explanation useful to people who encounter different financial consequences from the same code. The capital finances that expansion while the product inherits another set of people it must persuade.

Why the founders learned medical coding

Co-founders Justin Liu, CEO, and Scott Morris, CTO, came from Rockset, bringing data-infrastructure experience into a field with its own professional language and rules. Charta and its investors say the founders spent a year earning Certified Professional Coder credentials and interviewing more than 100 healthcare leaders before building the business. The company now requires coding certification from engineering and growth teams as well, extending that preparation beyond the founders.

That requirement deserves room beside the financing. A growth employee who understands coding can have a more useful conversation about a chart that supports an additional diagnosis, or one that fails to support a diagnosis already entered. An engineer configuring a customer's rules needs to understand the operational difference between the two. The value of that education shows up in implementation choices, customer explanations and the questions somebody knows to ask before recommending an adjustment.

Madrona's account of its renewed investment traces its relationship with Liu to early 2023 and describes the founders' effort to learn the domain. Charta's official leadership page dates the company's founding to 2023. The emerging business lesson is specific to this kind of software: domain expertise can become a requirement inside commercial hiring and engineering, carried into every conversation where a customer asks what the system believes happened during a visit. A more capable language model still leaves those conversations to the people selling and deploying the product.

How chart review reaches a payment decision

Charta's provider workflow connects to the electronic health record, retrieves documentation and runs analysis when a provider closes a note. Its website describes configurable responses, including automatic corrections, messages to providers and queues for human intervention. The company's Series B materials describe findings reaching people inside the EHR for approval. The operating point is to put an actionable exception where someone can address it before billing, rather than leave another system's output waiting for a separate review process.

The payer product suite covers retrospective diagnosis coding, automated second-pass checks, coder workspaces, audit management, prospective risk adjustment and quality-gap analysis. A recurring design idea is that evidence from a retrieved record can support multiple review tasks. For a health plan, that makes the trace from a proposed code back to clinical documentation part of the product's usefulness. For a provider, the same trace helps explain what needs attention in the record before the claim proceeds.

Charta names American Family Care, Grow Therapy and Pediatric Associates Family of Companies among its customers. The company-issued announcement reports 10x revenue growth, without disclosing the starting revenue base or audited customer-level results. These disclosures establish the company's account of adoption and momentum. They leave operators with customer-specific questions about exception handling, how rules change, and who is responsible for approving a recommendation when the clinical record is incomplete.

A shared engine acquires another audience

The competitive frame here extends beyond how quickly software can assign a code. Charta is asking institutions to use a common approach to evidence even when their budgets give them different reasons to examine a claim. An added diagnosis can affect risk adjustment; an unsupported code can create a correction. Confidence in the review has to remain attached to the documentation through either outcome.

That is a demanding position for a healthcare software company to occupy. DevCuration's reporting on medical AI evaluation at Alterra Labs follows a related buying question: how the people evaluating a system establish what acceptable work looks like. Charta's stated goal is to reduce downstream disagreement through earlier accuracy. The practical work runs through local coding rules, specialty requirements, integration choices and the professionals who review exceptions. Each of those decisions gives a buyer a more concrete way to evaluate the product than a broad promise to reduce administrative work.

The Series B gives Liu and Morris resources to take that proposition into additional specialties and health plans. With insurers joining the customer base, a chart may encounter Charta's judgment on more than one leg of the payment process. How customers reconcile a correction across those reviews becomes part of the implementation conversation the founders are financing.