Run AI at the edge. Deploy, run, monitor and secure models on any x86 or ARM device— anywhere in the world, all from a single platform. That's the power of the Modzy MLOps Platform for Edge. open model interface compliant
That's the power of an MLOps Platform for Edge. Deploy models to Modzy, connect your edge devices, and deliver models for edge processing anywhere in the world.
Fast: Deploying models takes seconds with near zero latency Secure: 354 certified security controls and end-to-end encryption Universal: OMI-compliant platform with more than 50+ integrations
The Modzy MLOps Platform for Edge enables real-time processing where data is collected, meaning faster results that remain secure. Use it for computer vision powered analysis of video feeds, transcription on audio streams, or predictive maintenance on sensor data.
The Modzy MLOps Platform for Edge offers native support for ML inference on both ARM and x86-based CPUs, NVIDIA GPUs, and can run on MacOS, Linux, and Unix operating systems.
The highly-efficient Modzy Edge binary leaves the maximum processing power available to your models.
Modzy MLOps Platform for Edge offers the same REST and gRPC APIs as Modzy’s cloud and enterprise offerings, providing a simple, standard way to process data and integrate pipelines on any edge device.
5G MEC architecture provides an ideal platform for high-speed, low latency AI applications. Modzy Edge allows multiple ML models to be remotely deployed to the same MEC hardware, ensuring that AI processing happens as close to 5G devices as possible, meaning faster results at a lower price.
Production facilities can use AI to accelerate IQ OQ PQ processes by running ML models right on the factory floor. Modzy can deploy computer vision models to identify production quality issues in real-time, or deploy predictive maintenance models to critical production equipment, ensuring real-time results and response.
Warfighters, operators, and analysts need rapid access to insights when executing a mission in the field, especially in denied environments. Modzy Edge enables the secure delivery and operation of ML models to tactical servers, drones, and other operational equipment.
Fleets of vehicles and industrial equipment require constant monitoring and maintenance to remain operational. Modzy Edge can deliver ML models across a fleet of vehicles to help predict maintenance issues before they impede fleet performance.
See why Gartner® named Modzy a Representative Provider for ModelOps, MLOps and Explainable AI, and was featured in the Gartner Market Guide for AI Trust, Risk, and Security Management.
Gartner® named Modzy a Representative Provider for ModelOps, MLOps and Explainable AI.
Forrester® Research reveals how MLOps platforms like Modzy provide machine learning operations at scale to help unlock value from AI investments.
Latest Industry trends report from Ipsos Research on how organizations are investing in AI and overcoming barriers.
Modzy runs seamlessly on HPE Edgeline EL8000 converged edge system to use, manage, and govern AI models wherever you go. With fast, NVIDIA-powered accelerators, the solution puts data center computing power into an optimized package for secure AI deployment anywhere.
Modzy software is very intuitive and well designed, which has made it incredibly easy to work with and integrate with what I’ve worked on. It’s a no-brainer decision for me.
Their ease of integration is great. We also like the ability to run different models with a simple integration.
Highly satisfied with the scalability and ease of use of the machine learning APIs. The documentation was concise, easy to use, and understand. Installation in ArcGIS took less than a minute and the performance was very fast with results instantly displayed on the map window.
Modzy’s SDK was very simple to work with and it made integrating their ML capabilities into my Web app very easy. Working with the platform is a pleasure!
See how quickly you can deploy and run models, connect to pipelines, autoscale resources, and integrate into workflows with Modzy MLOps platform
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