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Data Products for analytics teams on a mission

MLOps simplified.

Deliver value 

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  • Instantly serve models from ready-made REST APIs

  • Track live model metrics in training and in production

  • Version and re-train models automatically
     

Reduce complexity

  • One-step promotion of models, datasets & apps

  • Automated notebook scheduling & pipeline execution

  • Seamless cloud integration and on-prem deployment

... and many more features your team will love.

Product

How it Works

Shared notebooks.

Larger than memory datasets.

Instant deployment.

Build your data pipelines and models with the Python tools you already know and love. omega|ml makes working with the cloud fully Pythonic:

01.

Publish models & datasets from code or using our cli
om.models.put(model, ‘sales-prediction’)
om.datasets.put(dataframe, ‘sales-data’)

02.

Use the cloud for data processing & model training 
om.runtime.script('mypipeline').run()

om.runtime.model('sales-prediction').fit(X, Y)

03.

Leverage the instant REST API from any application:
HTTP GET /api/v1/model/sales-prediction/predict
HTTP PUT /api/v1/dataset/sales-data/

Any Framework

These frameworks are supported out of the box. Any framework can be supported using plugins.

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Success Stories

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"The traditional software delivery process does not scale for MLOps. omega-ml has increased efficiency in projects at Startups, Consultancies, Banks and Insurance Companies alike."

Founder omega-ml and 

Practice Lead MLOps 

Patrick Senti, Switzerland

Scalable compute cluster for model training & prediction

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"We rely on omega-ml to do the heavy-lifting for our solution deployment.  omega-ml enables us to focus on our core business - we’re just more efficient & effective!"

 

Founder & CEO at Syntheticus

Aldo Lamberti, Switzerland

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"We leverage omega-ml to operationalize our scientific efforts with ease. omega-ml has saved us a large part of development efforts to reliably serve our clients."

 

Head Business Development, 
a Scientific Startup, Switzerland

What is Included

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Fully installed, customizable Python data science distribution

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Scalable compute cluster for model training & prediction

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Scalable NoSQL database for any-size data sets

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Instant REST API for data, models, reports

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Secure Jupyter Notebooks ready for collaboration

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Notebook scheduling for controlled batch execution

What is incuded

Commercial Edition for Organizations

  • Jupyter Notebook publishing as reports and presentations

  • Instant Plotly Dashboard deployment

  • Mini batch framework for streaming and IoT data

  • Runs on Kubernetes, Public, Private Cloud or On-Prem

  • Deployment integration for any cloud backend

  • Enterprise-grade security integration

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Benefits

Why omega | ml

01.

Flexible

Leverage Python machine learning models & pipelines in any application, straight from our easy-to-use REST API. Easily add custom endpoints with automated data validation and compliant with Swagger/OpenAPI.

02.

Fast

Collaborate instantly on any data science project, using the tools you already know and love (e.g. Python, scikit-learn, Jupyter Notebook). Instant deployment from a single line of code.

03.

Scalable

Scale model training and prediction from any client, applying the power of the built-in compute cluster.

04.

Cost-Effective

A single, integrated solution that covers all your MLOps needs. Easy to use for Data Scientists, a breeze to deploy for Platform Engineers and DevOps Specialists. 

05.

No Vendor Lock-in

Our fully open source core and support for Linux, Docker and  Kubernetes cloud means you can deploy anywhere. Laptop, Cloud, On-Prem, Hybrid-Cloud or Edge.

06.

Secure & Independent

Deployed in your Private Cloud or On-Prem, omega-ml meets all your data privacy,  and security requirements. The commercial edition provides SSO, a built-in secrets vault and  auditing to keep your data safe and under control.
 

From Lab to Production

omega|ml is your one-stop hub to build, productize and launch your AI/ML project

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Innovate

More and much faster:

Data Scientists continue working with  the Python tools they trust & love.

 

Working right out of Jupyter Notebook or any other IDE, omega|ml does not stand in your way. Yet it is always ready to deploy and collaborate on datasets and models.

 

All it takes is a single line of code.

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Collaborate easily:

Collaborate

Ever wondered where to store all those .csv files? How to share your  notebooks? How to persist and deploy your models?

 

Sure there are ways. But they are all complicated.

 

omega|ml provides collaboration out of the box, for datasets, models, pipelines and applications.

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Productize

Launch your app today:

Want to integrate your datasets and models into an application? Don’t waste weeks or months to build your own. omega|ml is ready in minutes.

 

omega|ml publishes datasets, models and dash apps with a single line of code.  Once published you get a nice, ready-to use REST API and app URLs. Scheduled data pipelines included.

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Scale

Leverage cloud power:

The built-in compute cluster provides instant, no-hassle, scalable model training and prediction. 

As a private or public IaaS/PaaS provider, deploy omega|ml commercial edition to offer your clients a scalable MLOps Platform As a Service.

Extensible Architecture

Storage & Compute Backends, DataFrame Operations

omega|ml comes with batteries included, however new requirements are not a problem: alternate data sources or sinks and data pipelines can easily be added.

The following extension points are available:

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STORAGE BACKEND

Extend what  objects can be stored and retrieved

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RUNTIME BACKEND

Add any compute backend to run any omega|ml-stored models through the same API

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COMPUTE & DATAFRAME

Add processing options such as AutoML or Model Visualization

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