# About Infinia ML

## Where Breakthrough AI Meets Revenue Cycle Demands

As [Aspirion’s research and development engine](https://www.aspirion.com/aspirion-acquires-infinia-ml-an-established-leader-in-ai-and-machine-learning/), Infinia ML was built to meet those demands—translating AI research into production solutions that drive measurable results across Aspirion’s revenue cycle management operations.

## The AI Purpose-Built for Revenue Cycle Complexity

By combining advanced machine learning with Aspirion’s deep revenue cycle expertise and national scale, we deliver AI that drives measurable revenue recovery for hospitals and health systems nationwide.

### Technical Insights

- Breakthrough applications of LLMs in regulated healthcare environments
- Novel AI architectures that perform at scale across production RCM workflows
- Infrastructure and engineering innovations for ultra-sensitive PHI data
- Human-AI collaboration research that transforms healthcare operations

## The Best Minds Solving The Hardest Problems

Infinia ML brings together machine learning researchers and AI engineers with Ph.D. roots and real industry experience—35+ people and growing, headquartered in Durham, NC, with team members across the country.

Spun out of Duke University’s research labs in 2017 and acquired by Aspirion in 2023, we sit at the intersection of rigorous applied science and one of healthcare’s hardest operational problems: getting providers paid accurately, quickly, and transparently for their work.

That combination is rare. We’ve built a team to match.

## Infinia ML Leadership

### Nick Giannasi
#### CEO, Aspirion

### Spencer Allee
#### Chief AI Officer, Aspirion

### Patrick Rabenold
#### Vice President, AI & Machine Learning

### Amberly Rowles-Lawson
#### Vice President, Engineering

### Chase McGrath
#### Vice President, Product

### Shoni Davidson
#### Senior Director, Delivery & User Success