Notable Systems
Notable Systems is a healthcare automation company providing AI-powered document processing for DME and HME revenue cycle management, reducing manual data entry costs.
Overview
Notable Systems specializes in automating healthcare revenue cycle workflows for durable medical equipment (DME) and home medical equipment (HME) providers. Founded in 2015, the company uses proprietary AI and machine learning models to extract patient, provider, payor, and diagnosis information from healthcare documents. The platform handles handwritten and unstructured documents with HIPAA-compliant technology, serving healthcare organizations, manufacturers, hospital systems, and revenue cycle management providers.
The company raised $8.8 million in Series A funding in July 2024 and expanded its leadership team in June 2025 with Brian Nannie as SVP Client Strategy & Innovation and Gaurav Nukala as SVP Product. By September 2025, Notable Systems gained market recognition as a specialized vendor in the computer-assisted coding system (CACS) market, positioning itself alongside established players like Solventum and Optum through its sector-specific focus on equipment providers.
Key Features
- Healthcare-Specific AI Models: Proprietary machine learning for DME/HME document processing
- Handwriting Recognition: Processing of handwritten physician orders and prescriptions
- Medical Coding Automation: Computer-assisted coding system combining machine learning, natural language processing, and OCR
- Order Intake Automation: End-to-end processing from document intake to qualification
- HIPAA-Compliant Processing: Healthcare data security and privacy compliance
- Revenue Cycle Integration: Direct workflow integration for billing and claims processing
Use Cases
DME/HME Order Processing
Automates order intake by extracting patient information, prescriptions, and insurance details from referral documents. Processes handwritten physician orders and unstructured faxes, delivering structured data to order management systems.
Medical Coding Automation
Addresses unique billing and reimbursement challenges faced by equipment providers, helping reduce write-offs through automated medical coding workflows and improved operational efficiency.
Clinical Data Collection
Processes patient intake forms, medical history documents, and insurance cards while maintaining HIPAA compliance for electronic health record integration.
Technical Specifications
| Feature | Specification |
|---|---|
| Core Technology | Machine learning, natural language processing, optical character recognition |
| Document Processing | Handwriting recognition, unstructured healthcare document extraction |
| Compliance | HIPAA-compliant |
| Market Focus | DME/HME providers, revenue cycle management |
| Automation | Medical coding, order intake, claims processing |
Resources
Company Information
Headquarters: Denver, Colorado, United States (35 Eudora St, Denver, CO 80220)
Founded: 2015
CEO: Steve Johnson
Recent Executives: Brian Nannie (SVP Client Strategy & Innovation), Gaurav Nukala (SVP Product) - June 2025