THE AXLE OF ARTIFICIAL INTELLIGENCE

Products
THINK MACHINE LEARNING FRAMEWORK
We provide an open source turnkey solution for getting started through the Machine Learning Stack

and enterprise-grade Scale Framework.

Built with industry-leading and widely adopted community driven open source components.
Our solution covers all stages from

Data ingestion and transformation
Feature extraction
Model definition
Training and evaluation
Deployment
Inference and Monitoring.

Machine Learning Scale Framework

Now Scale your ML Projects with breeze

Collect & Prepare

Model Tuning

Collect
Data

DATA PREPRATION

Train Model

Train Prediction Pattern

Evaluate
Framework
Resiliency

PILOT SCALE

Enterprise Model

Inject Intelligence

Industry
Solutions

COMMERCIALIZATION SCALE

FEATURES

Empower organizations to quickly get started with machine learning and AI practices through our open source end to end solution.

Open Source

Run or Test on MiniKube Deploy on Kubernetes

ML Framework Agnostic

Pretrained Example
Models

Extendibility

Build on top of best available open source tools and components

Turnkey ready

Supports frameworks With R bindings, python, etc

Develop Pilot Easily

customize easily and integrate existing 3rd party tools or service

DATA PREPARATION


Connect to data from multiple sources

  • Integrate with all of your data sources
  • Create hybrid pipelines
  • Orchestrate in a code-free environment

Use Analytics capabilities

  • Open source technology advantage
  • Collaborate within teams
  • Use ML on batch streams

Scale without limits

  • Build in the programming language of your choice
  • Leverage scale out topology
  • Scale compute and storage separately

PILOT SCALE


Simplify model development

  • Collaborate in interactive workspaces
  • Access a library of battle-tested models
  • Automate job execution

Scale compute resources to meet your needs

  • Easily scale up or scale out
  • Autoscale on serverless infrastructure
  • Leverage commodity hardware

Quickly determine the right model for your data

  • Determine the best algorithm
  • Tune hyperparameters to optimize models
  • Rapidly prototype in agile environments

COMMERCIALIZATION SCALE


Bring models to life quickly

  • Build and deploy models in minutes
  • Iterate quickly on serverless infrastructure
  • Easily change environments

Proactively manage model performance

  • Identify and promote your best models
  • Capture model telemetry
  • Retrain models with APIs

Deploy models closer to your data

  • Deploy models anywhere
  • Scale out to containers
  • Infuse intelligence into the IoT edge

Multi-user and project support

Multi-user/project authentication and authorization. Security audit trails and user/role privilege control and separation.
 

Endpoint registry

Use Service framework and Simple Workflow for production deployed endpoints and easier application owner control.
 
 

Pipeline visualization

Run anywhere you can run Kubernetes.
 

Deployment monitoring and visualizations

Monitoring and visualizations of service consumption with service monitoring and statistics.