AI operating system to manage machine learning lifecycles

About is a data science platform, which helps businesses across industries including finance, healthcare, media, IT, aerospace, and automobile build, automate, and manage the entire machine learning (ML) lifecycle, from research to deployment. Features include a collaborative online workspace, experiment tracking, data visualization, multiple document format support, data import, and user management.

The platform enables developers to track data science models through charts and graphs and store models and metadata along with parameters, code versions, and metrics in a centralized repository. With the drag-and-drop capabilities, users can build and share ML pipelines with teams and automatically optimize data with the built-in hyperparameter search functionality. Team members can also receive real-time alerts for poorly working AI models. The unified environment helps engineers streamline various operational tasks like resource management, feature extraction, or model production, synchronize data, attach supporting files to ongoing tasks, and publish interactive dashboards. integrates with various third-party data science tools and frameworks such as TensorFlow, PyTorch, Julia, Caffe, MySQL, Google Cloud Storage, Snowflake, Microsoft Azure, and more. The platform also lets users create custom queries and subsets for original datasets and organize them using tagging, automated versioning, and querying capabilities.

Pricing starting from:


  • Free Version
  • Free Trial
  • Subscription


Business size



United Arab Emirates, Australia, Canada, Switzerland, China, Germany, Denmark, Finland, France, United Kingdom, Hong Kong SAR China, Ireland, Israel, Japan, Netherlands, Norway, Sweden, Singapore, United States

Supported Languages

Not provided by vendor

Pricing starting from:


  • Free Version
  • Free Trial
  • Subscription

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Total features of 29

  • API
  • Activity Dashboard
  • Activity Tracking
  • Application Management
  • Collaboration Tools
  • Configuration Management
  • Data Extraction
  • Data Import/Export
  • Data Visualization
  • Deep Learning
  • Drag & Drop
  • ML Algorithm Library
  • Model Training
  • Natural Language Processing
  • Performance Metrics
  • Predictive Modeling
  • Project Management
  • Real Time Monitoring
  • Reporting/Analytics
  • Resource Management
  • Search/Filter
  • Statistical Modeling
  • Tagging
  • Templates
  • Third Party Integrations
  • User Management
  • Version Control
  • Visualization
  • Workflow Management



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Overall rating

5 /5
Value for Money
Ease of Use
Customer Support

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Avi G.
Overall rating
  • Industry: Computer Games
  • Company size: 1 001-5 000 Employees
  • Used Daily for 2+ years
  • Review Source

Overall rating

  • Ease of Use
  • Customer Support
  • Likelihood to recommend 10.0 /10 @ Playtika

Reviewed on 2020/07/28


At Playtika we've spent the past two years using to speed up our ML pipeline from research to production. is not only an experiment platform which we've integrated with the rest of our AI ecosystem (feature store, model triggering etc.) we've built our whole deployment pipeline, model performance monitoring and gained the ability to run different types of models (RL, CNN, Supervised Learning etc.). has turned into our AI OS. Lastly, cnvrg has always spent the time and became a true design partner and helped workaround our challenges.


When just starting out, was missing quite a bit of features. However, as we worked with them through these two years, was able to deliver all our required . FAQs

Below are some frequently asked questions for offers the following pricing plans:

  • Pricing model: Free Version
  • Free Trial: Available offers a 14-day free trial for new users, after which the software is available across 2 pricing tiers. Details are outlined below: core: offers free deployment on any Kubernetes cluster with executions for $30/month For Premium plan details contact Accessible Labs. has the following typical customers:

2-10, 11-50, 51-200, 201-500, 501-1 000, 1 001+

We do not have any information about what languages supports supports the following devices: integrates with the following applications:

Amazon Redshift, Amazon S3, Apache Cassandra, Apache Kafka, Apache Spark, Caffe, Google Cloud Platform, Keras, Microsoft Azure, MySQL, OpenShift, PostgreSQL, Snowflake, TensorFlow offers the following support options:

Email/Help Desk, FAQs/Forum, Knowledge Base, Phone Support, 24/7 (Live rep), Chat

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