- Python-based API Library
- Access data repositories securely without exposing credentials
- Package models for deployment
- Execute and track ML experiments
- Publish and access project-based collaboration artifacts
- Reduces Python code from thousands of lines to a few lines
- Declarative extensible YAML approach to packaging and deployment
- Complete AI portability with continuous model change management with versioning
- Integration with GitOps for continuous production deployment using Kubernetes Operators
- Use your own secure container image to conform to client security needs.
10+ AI Models in Production
1000+ AI Models in Production
100+ AI Models in Production
Every Company Needs AI, But Can They Scale AI?
The value of AI is clear, but managing AI infrastructure is time-consuming, expensive, and most platforms don’t play well with existing IT stacks. A360 delivers continuous development, continuous integration, and continuous feedback in your AI pipelines to ensure that you can respond to business challenges quickly and with clear ROI.