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

Flexible and Modular Architecture to support secure ML Prototyping

•Cloud-Native, supports private or public clouds
•Support for novel data formats
•Data labeling, pre-processing and exploration functionality
•Built to comply with Government cybersecurity standards
•Easily share ML workspaces across teams
•Open architecture for adding custom models, transforms, evaluators

Deploys to any cloud environment using Kubernetes

Choose from dozens of packaged re-usable algorithms

Tracks model metadata to ensure reproducible results

Apply ML to diverse problems and domains

•Predictive Maintenance
•Time-series Forecasting
•Object detection and Classification
•Natural Language Processing
•Modulation Recognition

Start Prototyping New ML Models in Minutes

DELIVERING TRANSFORMATIVE SOLUTIONS