The problem
The reimbursement layer of healthcare is still missing.
Independent providers, billing companies, DME operators, and RCM teams are surrounded by billing software, EHRs, clearinghouses, and payer portals. The most important financial question remains painfully hard to answer:
What should this payer actually be paying for this code in this market?
Data exists, usability does not
Federal Transparency-in-Coverage filings are public but fragmented, massive, and impractical for a normal clinic or billing team to use day to day.
No payer data teams
Independent practices do not staff contract analysts. They need intelligence surfaced in workflows they already run.
Billing networks need scale
RCM and billing companies see the pain across portfolios but lack a shared benchmark engine they can productize.
Platforms need a layer
Healthcare software, DME systems, and AI agents eventually need reimbursement context they can plug in, not rebuild.
Category
We are defining reimbursement infrastructure.
Billing software
- Submits claims
- Tracks workflows
- Manages payments
Clearinghouses
- Moves claims
- Connects payer rails
- Handles transaction routing
ReimburseOS
- Benchmarks payer rates
- Finds CPT and HCPCS gaps
- Measures contract leverage
- Powers dashboards, APIs, and embedded intelligence
ReimburseOS is not replacing billing systems. It is the financial intelligence layer that makes them smarter.
Product surfaces
One data engine. Multiple surfaces.
PracticeOS · Practices and specialty groups
NPI/CPT snapshots, payer benchmarks, rate gaps, negotiation intelligence, renewal awareness.
View live platform →Billing company platform
Multi-client audits, white-labeled reports, payer gap analysis, portfolio-level intelligence.
Billing companies →DME / HME intelligence
HCPCS visibility, product margin context, Medicare vs commercial comparisons, payer strategy.
DME suppliers →API and connectors
Rate lookup, CPT benchmarks, payer gaps, practice audits, webhooks, and embedded widgets for partners.
Discuss API access →Group and MSO intelligence
Multi-NPI analysis, contract variance by location, payer benchmarking across groups, diligence workflows.
Group practices →API-first
The API layer healthcare reimbursement has been waiting for.
Every healthcare application that touches revenue eventually needs reimbursement context: what should this payer pay, where is this practice under-market, which CPT codes matter most, and what contract action should happen next.
Product vision for partners. Endpoints ship as the developer layer matures.
Discuss API accessIntegration roadmap
Designed to integrate across the systems healthcare already uses.
Categories below reflect integration roadmap focus areas, not claimed live partnerships or endorsements.
Billing and practice management
Clearinghouse / RCM
DME / HME platforms
Infrastructure
Built with modern startup infrastructure.
AWS Activate
Startup infrastructure support through AWS Activate as part of the data and automation foundation.
Netlify Enterprise
Web deployment layer, preview workflows, and shipping velocity for the public product surface.
Regional startup ecosystem
Greater Sacramento ecosystem connections including Growth Factory and Roseville Venture Lab networks.
Commercialization resources
Grant discovery and non-dilutive funding roadmap support through programs like Grant Studio.
Distribution
The product is only half the machine.
Alongside reimbursement intelligence, the team has built automation for outbound, CRM, lead generation, LinkedIn workflows, email sequences, and partner targeting.
War Room CRM
Founder-built operating layer for investor, partner, sales, and customer motion with high-velocity follow-up.
Sales automation
Outbound workflows, email automation, ICP segmentation, and measurable conversion loops.
Lead generation factory
Practice, billing company, DME, and partner prospecting with pipeline tracking.
Automation architecture is designed to scale outreach capacity with human strategy plus AI-assisted execution. This is not a claim of thousands of human sales reps on payroll.
Investor thesis
The private healthcare reimbursement play.
Independent practices with immediate payer-gap visibility.
Billing companies, RCM firms, DME/HME, groups, MSOs, consultants.
Dashboards, partner portals, widgets, and APIs.
Reimbursement infrastructure, not another billing tool.
Federal transparency data plus AI make massive public-rate files practical for operators.
The intelligence layer other healthcare software and agents plug into.
Financing
Opening strategic investor conversations.
ReimburseOS is preparing strategic investor conversations around data infrastructure, API distribution, partner channels, and reimbursement intelligence at scale.
Financing discussions may be structured through a standard SAFE or other appropriate early-stage instrument, subject to legal review and investor qualification.
- Data infrastructure expansion
- API and developer layer
- Partner and white-label distribution
- DME and billing company channels
- Sales automation and GTM scale
- Compliance and enterprise readiness
This page is for informational purposes only and does not constitute an offer to sell securities or a solicitation of an offer to buy securities. Any financing would be conducted through appropriate legal documentation and applicable investor qualification requirements.
Discuss SAFE participationFounder
Founder-led. Built from the field.
ReimburseOS was founded by David Hitchman, a business development and growth operator with deep startup experience, a track record of building outbound and sales systems, and a focus on turning complex markets into practical revenue engines.
The edge is execution: find a painful market, build the machine, ship the product, and sell the wedge before the category is obvious.
Help build the reimbursement infrastructure layer for private healthcare.
ReimburseOS is moving from product to platform: practices, billing companies, DME operators, groups, APIs, and embedded intelligence. If you invest in healthcare infrastructure, revenue cycle, data, or category-defining software, we should talk.
Built on public federal payer-rate data. No PHI required.