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MLOps for humans.

omega-ml is built to make data science teams effective again. omega-ml's core belief is that data scientists should not have to deal with the complexities of modern day software engineering. Data Science is about making a business more successful, not about technology. 

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That's why omega-ml enables data scientists to be 100% focused on building useful models and deriving value from data. Its innovative approach to vendor- & platform independence means individual data scientists and teams of any size get to have a productive MLOps experience on day 1.

 

The free omega-ml community offering provides a fast opportunity to demonstrate value. For organizations wanting to achieve full AI maturity, omega-ml commercial editions offer advanced integration features such as SSO, user groups, multi tenancy, and deployment options for maximum independence and control, including to your kubernetes, on-prem and hybrid cloud environment.  

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omega-ml timeline

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2025 - Integrated AI Delivery Platform

  • Generative AI Integration: Seamless support for generative AI models.

  • Support for Third-Party Models: Integration of large language models and external AI models to extend omega-ml’s capabilities.

2024 - Simplifying MLOps further

  • User-Friendly UI: Simplified tools for managing, monitoring, and deploying models with transparency and compliance.

  • Dashboard: Real-time tracking, drift monitoring, and alerts to keep teams on top of their models.

2022–2023 - Corporate Use Cases

  • MLOps goes Corporate: Deployed in Swiss banking and corporate settings, providing SSO integration and custom API support.

  • Global Reach: Expanded internationally with cloud-hosted solutions, GPU support, and private tenant cloud deployments.

2018–2021 - MLOps simplified foundation

  • Cloud Manager & International Marketing (2020–2021): Introduced Cloud Manager for customizable deployments, expanded to global markets with cloud and GPU support

  • Swiss-Hosted SaaS (2019): Launched fully Swiss-based MLOps SaaS platform, with a focus on attaining full vendor independence and enable customers to follow Swiss and EU data privacy laws.

  • Open Source Launch (2018): omega-ml was refactored and its core open-sourced under the Apache License 2, enabling community contributions. The license has since been changed to follow the Fair-code Principles, enabling free use with commercial limitations.

  • Development of core components (2016): omega-ml was developed for internal use and enabling of collaboration among data scientists inside and across organizations. Already it enabled cloud deployment of machine learning models for mobile applications.     

about

Patrick Senti  Founder | Engineer, Advisor, Tutor

  • LinkedIn

I help startups, small teams and individuals unlock AI/ML value, focused on Swiss 🇨🇭 companies. Providing expert advice, hands-on guidance, and my MLOps platform omega-ml, I ensure production-grade delivery. As a lecturer at Swiss universities & through educational content, I guide data science & software professionals in building their key skills for AI success.

Learn more about my motivation to start omega-ml - to build an independent, open AI platform that's both easy to deploy and scalable to commercial use cases.

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