Swiftly construct and integrate machine learning pipelines within software and web applications.
Atmos ML
FROM PROTOTYPE TO PRODUCTION
Transition machine learning projects from notebooks to production with unprecedented speed.
Moving a contemporary machine learning application from research and ad-hoc code to a resilient, scalable platform poses a significant challenge for seasoned data science and engineering teams. Strong ML streamlines this process through a comprehensive suite of tools for managing, deploying, and monitoring your machine learning applications. Boasting enterprise-grade security and seamless deployment to cloud-native services, the journey from prototype to production for your machine learning application has never been more straightforward.
Key Features
Comprehensive Toolkit
Atmos ML offers an all-encompassing framework for mission-critical tasks, encompassing model versioning, API deployment, scaling and distribution, security, and monitoring.
Cloud-Enabled
Effortlessly deploy and update models by seamlessly translating your local Docker-based environment into native cloud services with Atmos ML.
Flexibility
Utilise user-friendly and extendable tools for your tailor-made machine learning products and solutions, accelerating both development and deployment processes.
