MLOps for practitioners.
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.