Charta Health Raises $55M Series B to Put the Same AI on Both Sides of a Medical Claim
Hospitals buy AI to find more billable codes. Insurers buy AI to deny more claims. Both sides get faster at fighting, and the bill lands on patients and taxpayers. Charta Health's answer is to sell the same AI to both sides, so they argue about the chart before the claim goes out instead of after.
Charta raised a $55 million Series B led by Insight Partners, with existing investors Madrona, Bain Capital Ventures and South Park Commons, plus QuantumLight. Total funding is now $85 million across three rounds in under two years. Valuation wasn't disclosed. The money funds AI research and the official launch of Charta for Providers and Charta for Payers, two businesses on one engine. Charta says revenue grew 10x in the last 12 months.
The product reads clinical documentation the way an expert coder and auditor would: it flags codes the chart supports but the bill missed, and removes codes the chart doesn't back up. On the provider side, findings show up for human approval inside the electronic health record. The payer suite, six products built with one of the largest U.S. insurers, targets Medicare Advantage and ACA plans. The release cites a 2025 study: claims adjudication cost U.S. hospitals over $25 billion in 2023, nearly $18 billion of it potentially wasted on denials and appeals. Founders Justin Liu and Scott Morris came from Rockset, which OpenAI bought, and spent a year earning medical coding certifications before starting.
It's a sharp idea, and it's the first pitch here that names the AI arms race as the problem rather than the opportunity. The hard part is trust. A payer and a provider only accept one standard if neither believes the vendor leans toward the other, and Charta is now paid by both. If it can keep that neutrality credible, "agree on the chart first" is worth far more than another denial bot.
Source: https://www.prnewswire.com/news-releases/charta-health-raises-55-million-series-b-to-establish-a-shared-standard-of-accuracy-in-healthcare-billing-302934401.html
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Charta raised a $55 million Series B led by Insight Partners, with existing investors Madrona, Bain Capital Ventures and South Park Commons, plus QuantumLight. Total funding is now $85 million across three rounds in under two years. Valuation wasn't disclosed. The money funds AI research and the official launch of Charta for Providers and Charta for Payers, two businesses on one engine. Charta says revenue grew 10x in the last 12 months.
The product reads clinical documentation the way an expert coder and auditor would: it flags codes the chart supports but the bill missed, and removes codes the chart doesn't back up. On the provider side, findings show up for human approval inside the electronic health record. The payer suite, six products built with one of the largest U.S. insurers, targets Medicare Advantage and ACA plans. The release cites a 2025 study: claims adjudication cost U.S. hospitals over $25 billion in 2023, nearly $18 billion of it potentially wasted on denials and appeals. Founders Justin Liu and Scott Morris came from Rockset, which OpenAI bought, and spent a year earning medical coding certifications before starting.
It's a sharp idea, and it's the first pitch here that names the AI arms race as the problem rather than the opportunity. The hard part is trust. A payer and a provider only accept one standard if neither believes the vendor leans toward the other, and Charta is now paid by both. If it can keep that neutrality credible, "agree on the chart first" is worth far more than another denial bot.
Source: https://www.prnewswire.com/news-releases/charta-health-raises-55-million-series-b-to-establish-a-shared-standard-of-accuracy-in-healthcare-billing-302934401.html
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