Build Edge AI
Solutions Faster

Deploy, connect, and run machine learning (ML) models in the enterprise and at the edge, with fully managed infrastructure, tools, and workflows.

Run ML workloads anywhere–including at the edge

Consistently run ML workloads in your cloud, multiple clouds, on-prem or disconnected infrastructure. Also, run on any x86 or ARM device with low latency and increased security.

Any Edge Device

Run ML models any x86 or ARM device, with low latency results, increased security, and better networking.

Enterprise Cloud

Run your models in your cloud environment, with real-time results, full management and enterprise-grade security.

improve outcomes

One solution–endless ML use cases

A single solution for developers and data scientists to build and manage AI powered solutions using any type of model, on any data, at scale.

Any model

Machine learning, computer vision, LLMs, statistical, NLP and more.

Any data type

Machine learning for accelerated analysis on text, video, audio & sensors.


Run anywhere, including cloud, hybrid, on-premises, embedded or edge.

Powerful and easy-to use APIs

Integrate ML workloads with powerful and easy-to-use CLIs, APIs and SDKs in popular development languages.  Explore Developer Center


No-code / low code model deployment. Integrations for popular model training tools that data scientists love.



Reliable APIs and pre-built connectors for popular software solutions for fast integration.



Execute machine learning workloads anywhere at-scale: in the cloud, on-prem, hybrid, air gap, or edge.


Integrates with your tech stack

Get started quickly with pre-built connectors for popular model training tools, data management solutions, CI/CD pipelines, and enterprise software solutions.

Learn about open-source

Run ML on edge devices and IoT sensors

Multi-site edge ML management

Single interface to register multiple devices and authorized models and users.

Secure edge

Integrated tools to monitor model performance and ensure model security at the edge.

Governance, security and usage controls for machine learning

Governance, security and usage controls for ML

Empower teams to move fast with the monitoring, audibility, and transparency guardrails to keep the business secure and compliant.

Model monitoring, drift detection and explainability
Governance, audit, and transparency
Enterprise-grade security controls and audits
Watch the Demo

Support for ML teams, by ML experts

When you need help, we know where you're coming from and provide the support infrastructure and peer-to-peer guidance to help you reach your goals.


Join the 1000+ strong Modzy Developer Community

Direct support

Speak to a product expert and get tailored support

Video tutorials

Explore all the video tutorials on YouTube

Get ML help from the experts at Modzy

Awards and Recognition

We're part of organizations building the AI-powered future.

Modzy is part of the MIT Startup ExchangeModzy is part of the Intel Ignite Accelerator programModzy is part of the NVIDIA inception programModzy is part of the Digital Manufacturing InstituteModzy recognized by GartnerModzy recognized by ForresterIDC logo

Latest from Modzy


Introducing Modzy v1.10: Your Gateway to Faster AI and Edge Deployments

November 14, 2023
Learn about the newest features made available with the release of Modzy v1.10.
Tech Talks

The Edge of Industry: A Fireside Chat on AI-Powered IIoT Solutions

November 2, 2023
Learn about trends in IIoT and edge AI, with expert insight from HPE.
Tech Talks

Webinar: AI and IIoT: Unlocking Industry 4.0

October 30, 2023
Watch the replay of this webinar that explores the role of AI in the IIoT ecosystem.


Overview of MLOps Architectures

Learn about the different types of MLOps solutions that can support ML at scale.

Overview of MLOps Architectures
Learn about the different MLOps architectures, exploring the tradeoffs and benefits of each.

Get your questions answered and learn more about Modzy