A one-stop shop for teams to develop custom ML models from available data using an efficient pipeline approach.
Execute an entire ML pipeline without writing any code.
Rapid ML Prototyping
Reduce the cost and time associated with rapid ML prototyping
No Code 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 & Modular Architecture for 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
Apply ML to diverse problems and domains
• Predictive Maintenance
• Time-series Forecasting
• Object Detection and Classification
• Natural Language Processing
• Modulation Recognition
Deploys to any cloud environment using Kubernetes
Choose from dozens of
ready-to-use algorithms
Tracks model metadata to ensure reproducible results
Start Prototyping New ML Models in Minutes
DELIVERING TRANSFORMATIVE SOLUTIONS