Success Stories

Our success stories highlight AI teams mastering MLOps challenges effectively. Learn how omega-ml helps even small teams to leverage machine learning and deliver end-2-end applications, achieving sustainable business success.

Finance

A Swiss regional bank uses omega-ml to tackle MLOps and integrate AI solutions in on-premises banking applications

Tech Startups

A Swiss AI-tech startup leveraged omega-ml to go to market in just a few months, Without prior engineering skills

AI Consulting

omega-ml helped to turn a science team into a well-organized solution delivery organisation with minimal cloud investment

Cloud

omega-ml has been deployed to private and public clouds, including Azure, AWS, Rancher and OpenShift

Whitepapers

MLOps is vital for AI delivery. Our whitepapers emphasize efficiency by making the collaboration between data scientists and IT teams seamless. Embrace this approach to excel in the evolving AI landscape today.

MLOps as a Platform

MLOps is both a process and a platform. omega-ml is "MLOps simplified" and adopts to any process, framework, and company

MLOps Architecture

omega-ml's unique end-2-end architecture provides DevOps teams with an easy to integrate & manage MLOps solution

AI Monitoring

AI systems require continuous monitoring and quality assurance. omega-ml provides an integrated audit log and dashboard

AI Governance

AI governance is required by the EU AI Act and by industry regulators like the Swiss FINMA. MLOps is key to deliver compliant AI