Payerset Launches First-Of-Its-Kind AI Platform, Arming Health Systems With Unmatched Market Intelligence

Jiro Health Among the First Health Tech Companies to Extend Payerset’s Intelligence from Health Systems to Individual Clinicians and Practices

ATLANTA--(BUSINESS WIRE)--Payerset, the infrastructure company behind healthcare price transparency, announced the launch of Research Assistant, a fully self-service, AI-powered answer engine built on more than 20 trillion records of contracted rates processed each quarter, unifying payers’ own negotiated rate data, claims, policy, and market benchmarking into a single platform. Hospitals and health systems now have complete market context, including both the most current view of the market and a full, longitudinal record of how rates have shifted over time, along with real, plain-language answers, without needing an analyst, a data team, or specialized training.

In 2022, when compliance for the Transparency in Coverage rule took effect, the federal government required health plans to publish their negotiated rates, with the intention of giving hospitals, employers, and patients a clear window into what healthcare actually costs. The result was a mountain of machine-readable files (MRFs) no one could actually use: a single payer's pricing file can contain billions of rows, often published in inconsistent formats and riddled with errors. Payerset was founded that same year to solve exactly that problem, building the infrastructure required to normalize the data and render it usable across the formats healthcare organizations rely on.

"For years, hospitals and health systems have had access to pricing data without ever really having access to the insights that mattered most to each of them, like how their rates stack up against the market," said Jerry DiMaso, CEO, Payerset. “They'd get a file so massive that no one on their team could actually make sense of it. Instead of handing someone a spreadsheet with more data, we're fixing healthcare pricing by delivering the right answer, instantly, in the hands of the people negotiating on behalf of patients."

Payerset’s price transparency data powers some of the largest and most innovative healthtech solutions in the country. Jiro Health is a Practice Intelligence platform that turns real-world data into personalized clinical, operational and financial insights for U.S. clinicians and physician-led practices. The companies’ work together enables Jiro to integrate Payerset’s normalized pricing and claims intelligence directly into its platform. That market intelligence gives clinicians and practices actionable, data-driven insights for a range of financial and strategic decisions, including reimbursement benchmarking, RVU calculation, denial remediation, contract negotiations and growth planning.

“Health systems have struggled to get real market visibility into this kind of data, and for individual clinicians and small practices, it has been even further out of reach,” said Greg Field, Founder and CEO of Jiro Health. “With our partnership with Payerset, we can now deliver actionable financial intelligence for individual clinicians they can’t see anywhere else.”

The launch of Research Assistant builds on Payerset’s existing products: Rate Explorer™, which lets managed care and finance teams compare negotiated rates directly, and Data Lake™, which gives health tech companies and consultants API access to that same data. Research Assistant represents the company’s next evolution: a full intelligence platform available in two forms, giving healthcare organizations the flexibility to access Payerset's data however their teams actually work. A Model Context Protocol (MCP) server lets healthcare organizations plug Payerset's pricing, claims, and policy data directly into the enterprise AI tools they already use, including Claude and ChatGPT, without needing a separate interface. A companion portal product embeds that same intelligence in a chat-style experience within Payerset's own platform, for teams that want direct, conversational access without their own AI integration.

In both formats, users can move beyond raw market data and ask direct, strategic questions, instantly receiving a data-backed answer, whether that's how their negotiated rates compare to peer health systems in their market, which states offer the strongest reimbursement for a given service line, or where a fee schedule gap is costing them revenue before they ever sit down at the negotiating table.

"We built this tool to solve a real, specific problem, and the market’s response has told us just how badly it was needed,” said Jacob Little, Chief Commercial Officer, Payerset. “Health systems that would normally take months to evaluate a new product are telling us to just turn it on. That's the clearest signal we could ask for that we've built something the industry needed, even before it had a name for it.”

Founded in 2022 by CEO Jerry DiMaso and Chief Commercial Officer Jacob Little, Payerset has grown without institutional capital, remaining profitable since early in the company's history. Payerset processes more than 20 trillion records of contracted rates per quarter and serves hospitals, health systems, consulting firms, health tech vendors, and other organizations working to make sense of healthcare pricing data.

For more information, please visit www.payerset.com.

About Payerset

Payerset is the infrastructure layer behind healthcare price transparency, ingesting, normalizing, and delivering every payer machine-readable file (MRF) in the country so that hospitals, health systems, consultants, and health tech companies can use pricing data without building a data engineering team to unlock it.

Payerset's core products include Rate Explorer™, a fully self-service platform that gives managed care, finance, and contracting teams instant, no-code access to compare negotiated rates across payers, providers, and billing codes, model fee schedule scenarios, and benchmark performance against the broader market, with data refreshed quarterly and full historical data always retained, giving teams a comprehensive, longitudinal view of the market rather than a single snapshot in time; and Data Lake™, an enterprise-grade API that lets health tech companies, analytics platforms, and consulting firms embed pre-normalized pricing and claims intelligence directly into their own products and workflows, unified across every payer and updated on the same ongoing basis.