×
RapidClaims’ AI platform cuts healthcare revenue cycle costs by 70% in hours, not months
Written by
Published on
Join our daily newsletter for breaking news, product launches and deals, research breakdowns, and other industry-leading AI coverage
Join Now

RapidClaims is revolutionizing healthcare revenue cycle management with AI technology that dramatically reduces costs and implementation time while improving accuracy. The company’s innovative approach tackles the critical mid-revenue cycle challenges that have pushed U.S. healthcare provider margins to dangerously low levels of 1-2%, with claim denial rates nearly doubling to over 13% in recent years. Their technology represents a potential paradigm shift in an industry hamstrung by outdated solutions and manual processes.

The big picture: RapidClaims is building an AI-powered platform to transform healthcare revenue cycle management, with technology that could reduce RCM costs from 3-4% to less than 1% of provider revenues.

  • The company was founded by a team with complementary expertise: Dushyant (healthcare experience from Abbott), Jot (product development at Postman), and Abhinay (healthcare data science leadership at Novartis).
  • Their solution addresses the critical mid-revenue cycle bottlenecks of medical coding, documentation, and claims submission—areas where traditional tools have failed to keep pace with growing complexity.

Key innovations: RapidClaims’ few-shot learning technology enables specialty coverage at unprecedented speed, requiring only 100-500 medical records to achieve accurate coding versus the industry standard of 50,000+.

  • The platform has achieved coverage across more than 25 medical specialties in under a year, with implementation cycles measured in hours rather than the months typical of legacy systems.
  • The technology maintains coding accuracy above 95%, critical for compliance and revenue optimization.

Why this matters: Healthcare providers are operating on razor-thin margins, with revenue cycle inefficiencies representing an existential threat to their financial sustainability.

  • Traditional RCM solutions require lengthy integration cycles, struggle with specialty-specific requirements, and haven’t adapted to the explosion in medical coding complexity.
  • The talent shortage in medical coding post-COVID has further exacerbated the challenges providers face.

The results: RapidClaims’ platform delivers immediate, measurable ROI with up to 70% cost reduction and dramatically shortened accounts receivable timelines.

  • The system cuts A/R timelines from 20 days to just 5 days, significantly improving cash flow for healthcare providers.
  • The full-stack AI platform addresses multiple pain points in the claims submission process, including denial management and billing automation.

The path forward: The company is pursuing a platform vision targeting the multi-billion dollar revenue cycle management market, expanding beyond initial coding solutions to end-to-end claims submission automation.

  • The technology maintains a robust audit trail for compliance, addressing regulatory concerns that have historically complicated RCM innovation.
  • RapidClaims’ approach represents a potential paradigm shift in healthcare financial operations at a time when the industry desperately needs efficiency solutions.
Our Investment in RapidClaims: Transforming RCM for Forward-Thinking Healthcare Providers

Recent News

Hugging Face brings open-source revolution to humanoid robotics with Pollen acquisition

Bringing an open-source philosophy to physical robots, allowing developers to freely modify code for Reachy 2 humanoids when transparency matters most.

Porpoise-ful AI: Google’s DolphinGemma aims to decode dolphin language using 40 years of recordings

The collaborative effort applies machine learning to analyze 40 years of recorded dolphin sounds and behavioral observations, potentially determining if these marine mammals possess a true language system.

Sesame’s CTO reveals how they’re building real-time voice AI that talks like humans

Sesame's voice technology tackles the complex engineering challenge of enabling AI to both listen and speak simultaneously like humans do, while balancing personality expression with computational efficiency.