We deploy data science to automate complex challenges.

Infinia ML helps business leaders

Analyze Documents

Eliminate Tedious Reading and Searching

Extract Text

Put the Right Content in the Right Place

Audit AI

Ensure Your AI Systems Work For You

See Our Applications

WEBINAR | Data Prep: What Data Scientists Wish You Knew | In Partnership with CloudFactory

7 Best Practices for Putting Machine Learning to Work

Infinia ML is SOC 2 Compliant

Award Wins for Engineering + Sales!

For the second year in a row, one of the Triangle’s “Best Places to Work”

One of 2020's Best Tech Startups

Meet one of our Founders

Dr. Larry Carin

Chief Scientist

With over 350 published papers, Vice Provost for Research at Duke University and IEEE Fellow, Larry Carin is one of the true luminary minds in Machine Learning today.

Meet the Rest of the Team →

Infinia ML did an amazing job with collaboration, planning, and communication, especially in explaining technical details.

Jaime E. Puente, Ph.D., AI Segment Manager, Lenovo US

There was seamless interaction in a way that didn’t really feel like a separate organization. It felt like we were one team.

Andrea Staffhorst, Senior Director of Proposals and Pricing, RTI International

“Infinia ML brought mathematical rigor and strong thinking about practical techniques, setting the stage for more machine learning in the future. They really took ownership of the problem.”

Tyler Warden, VP Product Management, Syniti

READ THE CLIENT STORY

The focus and collaboration with Infinia ML have made the project more successful than anything we could have achieved elsewhere.

Dr. Brad Hirsch, CEO and Co-Founder, SignalPath

READ THE CLIENT STORY

Our End-To-End Machine Learning Process

Step 1

We prepare data

Underlying Technology

Exploratory Analysis

Automated data analysis that gives you insight into the shape, relationships, and correlations within your data.

Step 2

We develop algorithms

Underlying Technology

Infinia ML Library

Combining off-the-shelf and Infinia-created algorithms give data scientists a head start while allowing for customization.

Step 3

We deploy solutions

Underlying Technology

Infinia ML Cloud Layer

Kubernetes and Docker-based environment to help you get ML models into production and operate at any scale.

Step 4

We measure business impact

Underlying Technology

Infinia ML Auditor

Machine learning model monitoring solution that alerts you of issues with data or model output.

Feedback and Retraining

Learn More About Our Process →