Company Dossier • Health & AI • New York, USA
RapidClaims
The company teaching autonomous AI to do medicine's most tedious job - turning care into clean, paid claims.
The company teaching autonomous AI to do medicine's most tedious job - turning care into clean, paid claims.
Every visit to an American doctor generates a second, invisible visit - the one where a human being sits down and tries to translate what happened in the exam room into a string of billing codes. Get the codes right and the provider gets paid. Get them wrong, or slow, and the claim is denied, the cash is delayed, and someone has to do the work all over again. Multiply that across a country and the waste is enormous: Accel, one of RapidClaims' investors, pegs revenue cycle inefficiency at more than $250 billion a year.
RapidClaims, a New York-based healthcare-technology company founded in 2023, was built to attack exactly that problem. Its pitch is direct: autonomous AI agents that read clinical documentation, assign the correct medical codes, catch errors before a claim is submitted, and chase down denials and underpayments after the fact. The company calls its mission capturing "every dollar of earned revenue" - the money providers have already earned by delivering care but routinely lose to administrative friction.
What makes the company worth a closer look is not that it uses AI - nearly every healthcare startup now does - but where it points that AI. Instead of chasing the glamorous frontier of diagnosis or drug discovery, RapidClaims went after the back office: coding, claims, denials, risk adjustment. It is unglamorous work. It is also where the money quietly leaks out of the system.
The customer
RapidClaims sells to the organizations that live or die by their revenue cycle: hospitals and health systems, multi-specialty physician groups, Accountable Care Organizations, Federally Qualified Health Centers, ambulatory surgery centers and community health centers. Named or referenced clients include Duke Health, Advanced Urology and Neighborhood Health Center. The platform integrates with 15-plus electronic health record systems - Epic, Cerner, Meditech, Athenahealth among them - and spans 20 to 25-plus medical specialties.
The problem
For a provider, the revenue cycle is a chain of failure points. Coders are expensive and in short supply. Documentation is incomplete. Payer rules change constantly and vary by plan. A single missed modifier can trigger a denial, and each denial means rework, delayed cash and staff burnout. Risk-adjustment coding - the work that determines reimbursement in value-based contracts - is even harder, and gaps there quietly suppress a provider's revenue for an entire year.
RapidClaims' answer is to automate the routine and escalate the exceptions. Its agents handle the high-volume coding autonomously, flag the ambiguous cases for human review, and keep a running model of each payer's rules so claims are corrected before they are ever submitted. The company reports steady-state results of a 27% reduction in denial rates, a roughly 5% lift in revenue, and cost reductions of up to 70% - and points to one health system that unlocked $2.5M in accelerated cash flow.
Vendor-reported, steady-state outcomes. In healthcare finance, numbers like these are audited before they are believed - which is part of the point.
Assigns medical codes at roughly 98% accuracy with rule-based validation, integrated clinical documentation improvement, and human-in-the-loop escalation across 25+ specialties - including hard cases like oncology and spine.
Risk adjustment and value-based care coding: HCC suspecting, RAF gap closure and HEDIS/Stars quality capture, aimed at surfacing conditions that would otherwise go undocumented.
Self-learning denial management with underpayment detection, automated appeals and 24/7 payer follow-up - turning rework into recovered cash.
An always-current rules engine with automated provider queries and custom-trained AI that applies pre-submission edits so claims go out clean the first time.
The design choices
The autonomous-coding field is crowded - CodaMetrix, Fathom, Nym Health, Cohere Health and Maverick Medical AI all circle the same problem, alongside legacy RCM software and offshore coding shops. RapidClaims' differentiation rests on a few concrete decisions rather than slogans.
First, breadth. Many rivals win demos on a single specialty; RapidClaims bets on multi-specialty coverage, including the complex cases - oncology, spine, interventional cardiology - where the revenue actually leaks. Second, speed to value. The company says its models need only about 500 charts to train, versus an industry norm north of 10,000, which lets it go live in roughly six weeks and target ROI within 30 days. Third, the deployment posture: no rip-and-replace. It plugs into the EHR a hospital already runs rather than asking anyone to tear out Epic.
The through-line is a philosophy the company states plainly: autonomous where it scales, human where it matters. Rather than promising to remove people entirely, RapidClaims automates the high-volume routine and routes the judgment calls to human coders - the model that underpins its accuracy claims and, arguably, the trust of the CFOs who buy it.
The business model
RapidClaims is a B2B SaaS company. It sells its platform to providers on subscription and usage-based terms tied to coding volume and recovered revenue, and it measures its own value in the currency its buyers care about: lower coding cost, fewer denials, faster cash and better risk-adjustment scores. Compliance is table stakes in this market, and the company positions itself accordingly - HIPAA compliant, HITRUST certified, SOC 2 Type II audited, with encryption in transit and at rest.
RapidClaims was founded in 2023 by three alumni of IIT Kharagpur. Dushyant Mishra, the CEO, brings healthcare-operations experience from Abbott Healthcare and - unusually - a stint as an early-stage investor at Together Fund, the same firm that would later seed his company. Jot Sarup Singh, Chief Product & Technology Officer, came through Goldman Sachs and Postman. Abhinay Vyas, Chief Data Officer, carries AI and data-science experience from Novartis and Phable Care.
It is a deliberately balanced founding team: one part healthcare and operations, one part product and engineering, one part data and AI. That mix matters in a domain where the hard part is rarely the model alone - it is the messy, regulated reality of clinical documentation and payer behavior. The company employs roughly 83 people and runs from 605 W 42nd St in Manhattan.
The $8M Series A, announced on April 2, 2025 and led by Accel with participation from Together Fund, arrived alongside a previously unannounced $3M seed. Angel backers read like a who's-who of health and tech operators: Oscar Benavidez of Massachusetts General Hospital, Matthew Zubiller (ex-CEO of e4health), Ankit Jain (CEO of Infinitus) and healthcare leader Sachin Jain. The capital is earmarked for go-to-market expansion and deeper investment in denial-prevention technology.
Recognition has followed the funding. RapidClaims was named a Frost & Sullivan 2025 Technology Innovation Leader and, in 2026, took BlackBook's #1 ranking for AI-Powered Claims Automation with a score of 9.70 out of 10.
Dushyant Mishra, Jot Sarup Singh and Abhinay Vyas launch the company in New York to apply AI to revenue cycle management.
RapidCode, RapidVBC, RapidRecovery and RapidRules roll out across 20+ specialties with EHR integrations.
Announces an $8M Series A led by Accel plus a $3M seed, and is named a Frost & Sullivan Technology Innovation Leader.
BlackBook names RapidClaims the top AI-powered claims automation platform with a 9.70/10 score.
RapidClaims occupies the fast-forming category of AI-native revenue cycle management - a wave of companies rebuilding hospital billing infrastructure around autonomous agents rather than human labor plus legacy software. It is an early-stage player in a large, unglamorous market: administrative cost in US healthcare runs into the hundreds of billions, and providers under margin pressure are increasingly willing to hand routine coding to machines.
Its position is defined less by a single feature than by a posture - broad specialty coverage, fast deployment, and a human-in-the-loop model layered on top of compliance certifications. Whether that posture proves durable against well-funded rivals is the open question. For now, the company has capital, early customers, third-party recognition and a clear thesis: the back office of medicine is broken, and the fix looks a lot like software that quietly does the coding.
It builds autonomous AI agents that handle medical coding, denial prevention, revenue recovery and risk-adjustment coding for healthcare providers, helping them capture more earned revenue at lower cost.
It was founded in 2023 by Dushyant Mishra (CEO), Jot Sarup Singh (CPTO) and Abhinay Vyas (CDO), all alumni of IIT Kharagpur.
About $11M total - an $8M Series A led by Accel (with Together Fund) announced in April 2025, plus a previously unannounced $3M seed round.
Hospitals, health systems, multi-specialty physician groups, ACOs, FQHCs, ambulatory surgery centers and community health centers; it integrates with 15+ EHRs across 20-25+ specialties.
It offers multi-specialty coverage (including complex cases like oncology and spine), needs only ~500 charts to train, goes live in about six weeks, and uses a human-in-the-loop model rather than a narrow, single-specialty tool.
Profile compiled from public sources including rapidclaims.ai, Accel, Together Fund, Entrepreneur India, Finsmes, Tracxn and PitchBook. Metrics are vendor-reported and approximate. Figures current as of publication.