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Powerful integrations

Modzy integrates with your favorite tools, machine learning training frameworks, data pipelines, CI/CD systems, and front-end applications

Modzy integrates with your favorite tools, machine learning training frameworks, data pipelines, CI/CD systems, and front-end applications

Machine learning frameworks

Modzy connects and integrates with your favorite tools to ensure you can easily package and deploy models into production at scale, removing the barrier it takes to build AI powered applications. See an example →

  • Modzy integrates with TensorFlow
  • Modzy integrates with SciKit-Learn
  • Modzy integrates with PyTorch
  • Modzy integrates with MxNet
  • Modzy integrates with MLFlow
  • Modzy integrates with Keras
  • Modzy integrates with CUDA
  • Modzy integrates with Chainer

Data platforms, pipelines, CI/CD systems, and monitoring

Modzy is ModelOps. With so many free, Open-Source industry standard ML tools and commercial products, accelerating your ModelOps and specific MLOps pipelines with Modzy integrations is easy.

  • Modzy integrates with Snowflake
  • Modzy integrates with Pandas
  • Modzy integrates with Jupiter
  • Modzy integrates with Kubernetes
  • Modzy integrates with Kubeflow
  • Modzy integrates with Docker
  • Modzy integrates with Elastic Search
  • Modzy integrates with AWS SageMaker
  • Modzy integrates with Apache Spark
  • Modzy integrates with ContainerD
  • Modzy integrates with Splunk
  • Modzy integrates with Numpy
  • Modzy integrates with Anaconda
  • Modzy integrates with Pycharm
  • Modzy integrates with Studio
  • Modzy integrates with SignalFx
  • Modzy integrates with Airflow
  • Modzy integrates with NiFi
  • Modzy integrates with Jenkins
  • Modzy integrates with Atlassian
  • Modzy integrates with CircleCI

Languages

Modzy Open Source SDKs, REST endpoints, and libraries for many developer languages enables integration into your custom apps.

  • Modzy integrates with Python
  • Modzy integrates with Scala
  • Modzy integrates with Julia
  • Modzy integrates with JavaScript
  • Modzy integrates with Java
  • Modzy integrates with CSharp
  • Modzy integrates with GO
  • Modzy integrates with MatLab
  • Modzy integrates with SAS

Cloud providers

Deploy Anywhere. Cloud, on-premise, or at the edge. Modzy can be cloud native on these common Cloud Service Providers.

  • Modzy integrates with Google Cloud Platform
  • Modzy integrates with Microsoft Azure
  • Modzy integrates with AWS

Business and front-end apps

Supercharge your applications with Machine Learning. Integrating Modzy with your existing tools is as simple as making an REST API call. Use the API to integrate into User Apps, Mobile Apps, ETL pipelines or IoT devices.

  • Modzy integrates with Microsoft Office
  • Modzy integrates with Tableau
  • Modzy integrates with ArcGIS
  • Modzy integrates with Salesforce
  • Modzy integrates with Concur
  • Modzy integrates with Slack
  • Modzy integrates with Apple Shortcuts

Modzy integrations with geospatial mapping

Easy integration for GIS and mapping. Supports many uses cases. Watch this customer use-case to see a Modzy vehicle detection model integrated into QGIS.

Add AI to Tableau workflows

Easily add AI to your Tableau workflows using Modzy. This customer example is extending home loan processing with AI from Modzy.

Better customer service in Salesforce with Modzy

AI-powered sentiment analysis integrated into Salesforce's customer support portal. By integrating Modzy with Salesforce, teams can analyze support tickets to flag and escalate high priority requests.

Autodeploy Sagemaker model with Modzy

See how easy it is to deploy a model developed with Sagemaker into production with Modzy.

Modzy MLFlow integration

See algorithmic pipeline deployment from a model trained in MLFlow and deployed to production with Modzy.

4 mins

Watch Video Demo

See how quickly you can deploy and run models, connect to pipelines, autoscale resources, and integrate into workflows with Modzy—the ModelOps and MLOps platform