Investor Information
A healthcare-first platform turning operative notes into codes, clean claims, and live operational intelligence — built for the surgical revenue cycle, not applied to it.
We're Raising $1M
A post-money SAFE funding four quarters of growth: our first enterprise sales hire, two AI engineers, SOC 2 Type II certification, AMA CPT licensing, and support for additional hospital pilots.
What We Do
NeuroFlo transforms surgical documentation and medical coding using critical AI, machine learning, and reinforcement learning working together — not a single generalist model guessing across every code system, but models trained specifically for CPT, ICD-10, HCPCS, and CMS.
Our platform unifies documentation, coding, insights, and workflow automation in one system, with HIPAA controls today and SOC 2 Type II certification underway. Providers document once while our models infer CPT, ICD-10, and HCPCS codes with 98%+ accuracy measured in active pilot deployment, provide sentence-level evidence, validate payer rules, and integrate with major EHRs like Oracle Cerner. We deliver a custom-built platform with full audit trails and role-based access.
Team
Our team consists of AI specialists with over 20 years of combined experience in secure, mission-critical systems:
Engineering Leadership – Driving technical vision and execution across AI systems architecture, infrastructure, and performance optimization.
Team of PhD Researchers – Experts in machine learning, computer vision, and natural language processing.
Compliance Specialists – Ensuring our solutions meet HIPAA, CJIS, and FedRAMP requirements.
UI/UX Designers – Creating intuitive interfaces for complex AI systems.
Traction
Active Pilot with Vandalia Health - Deployed AI-powered surgical documentation and coding automation system
98%+ accuracy in CPT, ICD-10, and HCPCS code generation, measured in active pilot deployment, with full evidence traceability
Oracle Cerner EHR integration, with HIPAA controls today and SOC 2 Type II certification underway
Growing pipeline of additional health systems currently evaluating NeuroFlo, several under NDA
Unique Insights
Surgical documentation and coding requires models trained specifically for each code system — CPT, ICD-10, HCPCS, and CMS — not one generalist model guessing across all of them.
Validating the note at the point of care, before it's signed, catches what no amount of downstream AI coding can fix after the fact.
HIPAA compliance and audit traceability must be built into AI systems from day one, not retrofitted, to meet healthcare industry requirements.
Market Size
A growing, well-documented opportunity in medical coding, with AI adoption accelerating within it:
Medical Coding Market
$20.8B in 2026, growing to $30.4B by 2030 at a 10% CAGR.
Source: The Business Research Company, 2026
AI in Medical Coding
$3.56B in 2026, projected to reach $6B by 2030 at a 14% CAGR.
Source: The Business Research Company, 2026
Investment Ask
$1M
Post-money SAFE, funding four quarters of growth
- First enterprise sales hire
- Two AI engineers
- SOC 2 Type II certification and penetration test
- AMA CPT licensing
- Support for additional hospital pilots
Figures are benchmark-based estimates pending our confirmed operating costs, not final books.