Platform-as-a-Service,
designed for data scientists

Build and deploy enterprise machine learning apps at scale

roro deploy
Deploying project face-detection. This may take a few moments ...
Building docker image ... done
Updating scheduled jobs ... done
Started 1 service.

    default: https://face-detection.rorocloud.io/

Deployed v1 of face-dectection project
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Do More, Move Fast

Focus on feature engineering and model optimization, not infrastructure

Simple API

Prototype, deploy and scale complex machine learning models, pipelines using a simple API

Easy Configuration

Configure and manage multiple runtimes and dependencies using a simple file

Cloud Power

Get access to latest GPUs, CPUs, storage and other elments at scale on your finger tips

Platform Features

Simplify your machine learning deployments

  • Deploy instantly

    Deploy your models, pipelines, pre-processors in seconds. Scale as needed. Stop worrying about infrastructure

    Standardize your workflow

    Easily organise your experiments and projects. Each project runs in an environment and hardware configuration of your choice

    Containerized environments

    Use your favourite frameworks. Start with pre-built docker runtimes for Scikit-Learn, Tensorflow, Keras or customise to your needs. Or just ask us!

    roro deploy
    Deploying project face-detection.
    This may take a few moments ...

    Building docker image ... done
    Updating scheduled jobs ... done
    Started 1 service.

        default: https://face-detection.rorocloud.io/

    Deployed v1 of face-detection project

    cat roro.yml
    project: face-detection
    runtime: python3-keras
    services:
      - name: default
        function: predict.predict
      - name: api
        function: face-detection:identify_face
  • roro run --size C64 train.py
    Created new job b42c02a0

    roro run --gpu train.py
    Created new job d56n12n6

    roro logs d56n12n6
    Epoch 1 - 43.01
    Epoch 2 - 44.02
    ...
    Epoch 34 - 45.02

    Power and reliability of AWS

    Get all the goodness and best practices from AWS without any work. Keep track of resource usage by projects and manage budgets easily

    Powerful introspection

    Unrestricted access to all the logs and metrics organised by projects for ease. Drill down to a single process

    Be on the cutting edge

    We are always here to help. Be it via Slack, Email or a Call. We will address your queries and concerns swiftly

  • Easily manage your models

    Keep track of your models and related meta data by projects. Compare performance and deploy the right models

    Get more tools and infrastructure

    Use Jupyter Notebooks for exploratory work, share with other collaborators. Add more infrastructure elements using a simple commands

    Automate workflows

    Keep your production models up-to-date with scheduled training runs. Select the appropriate hardware for training. Keep track of models in the model repo

    roro models:list
    face-detection v4
    hello-world v3

    roro models:log
    Model-ID: 4fbe8871
    Model-Name: face-detection
    Model-Version: 4
    Date: Thu Sep 1 13:16 2017 +530
      Updated model with August data
    Model-ID: bdc0a3b4
    Model-Name: hello-world
    Model-Version: 3
    Date: Thu Jul 27 11:17 2017 +530
      First version of hello-world

Demo