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MyOS Hub

Our approach is to be open, transparent and push the bleeding edge. Our philosophy is to create a culture of makers: community, customers, partners, entrepreneurs and our own “makers gonna make”. Our vision is to democratize AI for everyone. Not just a select few. We enable this with our award-winning, MyOS Hub Driverless AI, the platform that uses AI to do AI to make it easier, faster and cheaper to deliver expert data science as a force multiplier for every enterprise. We want everyone to explore, learn, dream and imagine a new future.

Open Source, Distributed Machine Learning for Everyone

MyOS Hub is a fully open source, distributed in-memory machine learning platform with linear scalability. MyOS Hub supports the most widely used statistical & machine learning algorithms including gradient boosted machines, generalized linear models, deep learning and more. MyOS Hub also has an industry leading AutoML functionality that automatically runs through all the algorithms and their hyperparameters to produce a leaderboard of the best models. The MyOS Hubplatform is used by over 18,000 organizations globally and is extremely popular in both the R & Python communities.

Key Features of My OS Hub

Algorithms developed from the ground up for distributed computing and for both supervised and unsupervised approaches including Random Forest, GLM, GBM, XGBoost, GLRM, Word2Vec and many more.

Use the programing language you already know like R, Python and others to build models in MyOS Hub, or use MyOS Hub Flow, a graphical notebook based interactive user interface that does not require any coding.

MyOS HubAutoML can be used for automating the machine learning workflow, which includes automatic training and tuning of many models within a user-specified time limit. Stacked Ensembles will be automatically trained on collections of individual models to produce highly predictive ensemble models which, in most cases, will be the top performing models in the AutoML Leaderboard.

In-memory processing with fast serialization between nodes and clusters to support massive datasets. Distributed processing on big data delivers speeds up to 100x faster with fine-grain parallelism, enabling optimal efficiency without introducing degradation in computational accuracy.

Easy to deploy POJOs and MOJOs to deploy models for fast and accurate scoring in any environment, including very large models.

How it Works

Enterprise Data


MyOS Hub works on existing big data infrastructure, on bare metal or on top of existing Hadoop or Spark clusters. It can ingest data directly from HDFS, Spark, S3, Azure Data Lake or any other data source into it’s in-memory distributed key value store.

Distributed, In-Memory Machine Learning


MyOS Hub takes advantage of the computing power of distributed systems and in-memory computing to accelerate machine learning using it’s industry parallelized algorithms which take advantage of fine grained in-memory mapreduce..

Seamless Deployment


Quickly and easily deploy models into production with Java (POJO) and binary formats (MOJO). In addition, MyOS Hub models can be productionized in a host of different ways as listed

Enterprise Support


When AI becomes mission critical for enterprise success, MyOS Hub.ai is there to help. MyOS HubEnterprise Support provides the services you need to optimize your investments in people and technology to deliver on your AI vision. MyOS Hub Enterprise Support includes training, a dedicated account manager, 24/7 support, accelerated issue resolution and direct enhancement requests. Enterprise support also gives you access to MyOS Hub experts in data science, the MyOS Hub platform and DevOps/production deployment to accelerate and expand your adoption of AI. In addition, Enterprise Support customers also have access to Enterprise Steam or MyOS Hub Sparkling Water to deploy and manage models in their Hadoop or Spark clusters.