Simplified AutoML Interface for all your ML engines‍

Automatically design, train, tune and build machine learning models for all Enterprise use cases, leveraging industry leading automl engines and our proprietary algorithms

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Predictive to Deep Learning

Single AutoML Interface
Predictive Analytics

AutoML for Classification and Regression usecases in using different ML libraries and algorithms to experiment and retrain machine learning models  with expandable model catalogs

Timeseries Forecasting

Unified platform for data scientists to collaborate with ops team to deploy and monitor  machine learning models with feedback loops and automated retraining schedules

Deep Learning and NeuralNets

Eliminate Bias and Improve model performance with feedback loops and automated retraining frameworks. Observe and act on insights from machine learning model with self-explainable dashboard

One-Click

One-click deployment to any cloud platform

ROI

Improve ROI aligning with customer growth

Reduce Cost

Reduce cost with our automatic machine learning

Speed

Get to market faster than ever before
auto ML

Build using modeling frameworks you already love

Through our AutoML engine, you can access open source machine learning models like XGBoost, PyTorch, H2O, Sagemaker, Keras,  Scikit-Learn and bring your own AutoML frameworks.

Want to develop your own custom models? Talk to us.
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partners

Our Partners for AutoML Service
Reduce cost by 40%

Avoid Vendor Lock-in

Easily deploy machine learning models build using any ML platform in a cost effective and scalable way on any cloud or on-premise. Train and Build machine learning models at scale using hardware accelerators on any cloud or on-premise. Fast and Safe rollout of changes to production. Shortest path to gain ROI by automating ML & CI/CD Pipelines

Support all cloudplatform

AutomateML & CI/CDpipelines

Shortest path to Improve ROI

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