Build your workspace with pre-built images instantly

Build your custom-made workspace images and make them ready for data scientists to conveniently create their project environment. With unified and centrally managed workspace system, bring reliability, security, and efficiency into your data science program. Manage your resources among your team to save significantly in your infrastructure costs while maintaining stability in your system.

Enterprise Marketplace

Build your private library of dashboards, AI or Machine Learning solutions, and tutorials from our comprehensive catalogue or those developed inside your organization. Deliver models or applications to executives, analysts or clients with few mouse clicks.

Manage your resources efficiently

In a secured multi-usr and multi tenant environment equipped with advanced container orchestration system, upscale and downscale your resources in few seconds. Enforce limits on the usage to control the budget and maintain a stable platform for all users.

IDE of your choice

Let your data scientists to work with their favorite IDE. A comprehensive catalogue of IDEs such as Jupyter Lab, Jupyter notebooks, Zeppelin or Theia is available out of the box. Nevertheless, you can build your environment with IDE of your choice and deploy with mouse clicks.

Deploy your Application in few minutes

No matter which framework you use, e.g. Shiny, Flask or Bokeh, you can deploy your application with few mouse clicks. Restrict access to specific users or expose it to the public. The embedded load balancer of the platform will take care of the rest and enforces your access and resource allocation policies.

Powerful Admin Panel

With this sophisticated admin control system, define usage tiers, control access to computational resources for each user, construct your machine settings or limit the hours of usage. Administrators are able to define groups with different level of access to resources and assign users to these groups. Simply upload Docker images for different projects with full version control system.

Deploy APIs

After testing and fine tuning your models, you can deploy your model as a REST API and control your deployment. You can deploy the new version or rollback at anytime.

Collaboration & Sharing

R-Brain infrastructure provides enhanced sharing with different level of access. Grant full or view only access to your projects.

Comments and Collaboration

IExchange comments and feedbacks instantly on your projects or outcome of your models.

Share workspaces & apps

Speed up your projects by sharing workspace and apps with your team or your clients.

Share globally

Get a public link to every file and quickly share it with your teammates.

Scheduling

Define and deploy periodic jobs such as updating tables or dashboards with flexible schedules. Several types of scheduling such as time-intervals, weekdays or specific days of month are available.

Collaborative Data Science Platform for Enterprises

 Rapidly build and deliver impact-full models and applications in a secure reliable environment

Try R-Brain RIDE DSP and RIDE SERVER on AWS Marketplace