We deploy data science to automate complex challenges.

Infinia ML helps global enterprises and world-changing startups:

Process Text

With superhuman speed & skill

Analyze Images

From x-rays to ultrasounds

Interpret Data

By finding hidden patterns

See Our Solutions

Infinia ML Is SOC 2 Compliant

Infinia ML Recognized for Innovation in Machine Learning with Two Awards

One of the Triangle’s “Best Places to Work”

TEDx Talk from Product Manager Andy Chan

Infinia ML Team Publishes Six Papers at 2019 International Conference on Machine Learning

Watch our CEO at SXSW 2019

Access presentations from our first Machine Learning Symposium

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 →

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

Last Mile Solution

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

Model Care Unit

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

Feedback and Retraining

Learn More About Our Process →

Featured Content

Infinia ML is SOC 2 Compliant

Infinia ML Team Publishes Six Papers at 2019 International Conference on Machine Learning

Infinia ML Recognized for Innovation in Machine Learning with Two Awards

Infinia ML Takes the Field

Enterprises Expect A Two-Year Timeframe For Machine Learning To Go Mainstream A Secure Foundation for Machine Learning VIDEO: Best Practices for Deploying Machine Learning in the Enterprise

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