Clouderizer | End-to-End MLOps Platform

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Deploy your as Serverless Cloud Functions
GPU Support | Long Running | Scalable
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Sentiment Analysis

Sentiment Analysis from text using PyTorch

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Bank Marketing

Help Bank Marketing tem decide potential targets for next Term insurance marketing campaign.

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Heart Failure Prediction

Predict heart failure using Random Forrest using ScikitLearn.

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Notebooks -> Serverless Cloud Functions
  • Deploy your Python, R notebooks without any code changes
  • GPU Functions. Long Running functions for training and batch processing
  • Supports parameterized notebooks. Pass parameters to REST interface
  • Historical notebook archive for each invocation for review and analysis.
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Deploy Any Model, Anywhere
  • Drag-n-Drop and Deploy models packaged as ONNX, PMML, MOJO
  • Deploy AutoML models from H2O.ai, KNIME, RapidMiner
  • Deploy in-house models developed using Tensorflow, PyTorch, Fast.ai, Sklearn, XGM
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Autogenerated Web App from your Models
  • Create web apps from your ML model without writing a single line of code.
  • Data science teams can deploy and test their ML models easily
  • Showcase your machine learning models to customers and leadership teams
  • Easiest way of getting ground truth feedback about models from internal team and beta testers
  • Responsive web app compatible with phones and tablets
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Monitor Model performance
  • See how your models are doing in production using Ground Truth feedback from testers and internal users
  • Compare model performance and evaluation time.
  • Run analytics on results, user feedback, response time, input trends
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Code-less deployment
  • Deploy existing Jupyter Notebooks without requiring any code changes.
  • Deploy models procured from external vendors, packaged as ONNX, PMML, MOJO
  • Drag and Drop AutoML models from H2O, KNIME, RapidMiner
  • Zero lines of code needed. Deploy in 1 click or from CLI
  • No Software / IT / DevOps team needed.
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Code friendly deployment
  • Drag-n-Drop pre-built Python models in pickle format
  • Write your custom prediction, pre-processing and post-processing code
  • Deploy in 1 click
  • No Software / IT / DevOps team needed.
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Enterprise Ready
  • Setup end-to-end MLOps pipeline with Continuous Training
  • SaaS / OnPremise offering
  • Bring Your Own Cloud - Keep your models and data private
  • User management
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Documentation

Product Documentation to get you started and fill in with advanced features.

Tutorials

How To videos around core features

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