
StratusML provides a one-stop shop for teams to develop new ML models, using an efficient pipeline approach to create custom models based on available data sources.

StratusML enables users to execute the entire ML pipeline, from curating and pre-processing data to training and evaluating a model, all in a code-less environment.
Rapid ML Prototyping
Reduce the cost and time associated with rapid ML prototyping
Code-less Environment
Easy to navigate UI to train models without writing a single line of code
Repository of state-of-the-art ML Artifacts
Data pre-processors, state-of-the-art models, and evaluators available for use spanning various problem types
Reproducible Results
Metadata of the ML artifacts are tracked through their entire lifecycle to ensure reproducibility
Hardened Codebase
CI/CD pipeline ensure continuous cybersecurity scanning and compliance with NIST RMF
Deploys to any cloud environment using Kubernetes

Choose from dozens of packaged re-usable algorithms

Tracks model metadata to ensure reproducible results


Start Prototyping New ML Models in Minutes
DELIVERING TRANSFORMATIVE SOLUTIONS