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. Our 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, the omega-ml premium and commercial editions, offer advanced integration features such as SSO, user groups, multi tenancy, kubernetes and hybrid cloud.  

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omega-ml timeline

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2023 - Working on new innovative features to support transparent and data-conscious deployments
            and collaboration, e.g. for large language models and other models provided by third-party.
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2022 - Introduction of omega-ml in a Swiss banking institute as the central MLOps platform for all of
            their sales & marketing ML applications and ML operations. The deployment is protected by the
            bank's Single Sign On (SSO) infrastructure and interfaces with the bank's application integration
            layer, offering OpenAPI-compliant REST APIs to any application, custom-created and deployed
            with a single line of code.

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2021 - Partner agreement for international distribution with a partner organization and  consulting
            engagements with Swiss Startups and launch of Azure and AWS hosting options. Use of
            omega-ml in a Gaming Simulation project utilizing GPUs (USA).. 

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2020 - Introduced the Cloud Manager as the fully customizable deployment platform for omega-ml and
            all related services, including mandated Kubernetes and on-premise deployments. First GPU-
            enabled deployments for simulation of game playing algorithms
            using deep learning.
 

2019 - Launched the first Swiss-hosted commercial MLOps SaaS platform to fully meet data privacy
            and data security requirements. First applications in USA (consulting company), a Swiss
            insurance company and a Swiss startup.
 

2018 - Open sourced under the Apache License v2.0. The license was subsequently extended by the
            "No-Sell, Consulting Yes" Commons Clause to avert misuse of omega-ml intellectual property.

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2016 - Patrick Senti built the core of omega-ml as the internal data science platform for his smart city
            & next-gen mobility startup launched in 2014, where the challenge was to collaborate on large
            out-of-core datasets between a distributed team of data scientists, and to deploy dozens 
            of machine learning models for operation in the cloud and integration into a smartphone travel
            app.