Clouderizer | End-to-End MLOps Platform

Showcase

Deploy your as Serverless Cloud Functions
GPU Support | Long Running | Scalable
Sign Up
Schedule Demo
Get started in minutes
Try our live samples now
Sentiment Analysis

Sentiment Analysis from text using PyTorch

Try Now
Bank Marketing

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

Try Now
Heart Failure Prediction

Predict heart failure using Random Forrest using ScikitLearn.

Try Now
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.
Learn More
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
Learn More
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
Learn More
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
Learn More
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.
Learn More
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.
Learn More
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
Get help
Documentation

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

Tutorials

How To videos around core features

We used Clouderizer while teaching the Deep Learning course for graduate and undergraduate students, as one of the options to do programming homeworks and assignments at Georgia Tech.

With Clouderizer, students who used it found it easy to use, were able to get started with cloud GPU setup and running in few minutes, without hassle and extra work of setting up the environment, installing different packages, versions and dependencies.
I would recommend  Clouderizer to any university or company which runs employee / student training related to Machine Learning and is looking for a Cloud interface vendor / provider.

Sreenivasan AC
Graduate Teaching Assistant, Deep Learning, Georgia Institute of Technology

Clouderizer has saved me hours of low-level technical fiddling. I love how I can choose with one click which cloud service to spin up a machine on and how everything seamlessly backs up to my Google Drive. Customer service is excellent too - I had a connectivity issue and within ten minutes I had a video call and the problem was resolved. It’s well worth the money and highly recommended!

Anthony Holmes
CEO, Holmes Consulting

I have been using Clouderizer for over 3 months, its great to start because it lets me connect to Colab and GCP, perfect for starting out and you don’t want to fight with SSH

Jeremy Easterbrook
CEO Index
Sign Up
Schedule Demo