DEPLOY

Launch your AI in production, where the action takes place.

Operational managers

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Deploy in one click

Demonstrate the value of your video recognition applications quickly, by deploying them in seconds on your first connected device.

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Your AI applications always up-to-date

As your models evolve and their performance increases, easily push updates into production.

IT engineers

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A software designed for large scale deployment...

Don’t reinvent the wheel, use our software infrastructure to deploy video recognition applications at industrial scale and maintain them through time.

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… which adapts to your existing architecture

No need to adapt your whole infrastructure to get AI ready. No need to transition to the cloud or change your cameras. Your AI applications connect and integrate to your existing IT infrastructure.

Features

Video recognition at industrial scale

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Deploy your video recognition systems locally or on the cloud, via Docker

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Analyze images or IP video streams (RTSP, RTP, HTTP) easily via our SDK

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Analyze data at industrial scale thanks to our native Kubernetes integration

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Perform image or video inference programmatically via the local API

Edge deployment

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Handle your fleet of devices with the centralized platform

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Deploy on servers using GPU or CPU mode

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Embedded devices support (NVIDIA Jetson TX-2, Intel Myriad X)

We are compatible with

Continuous improvement

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Each deployed device is connected to our centralized platform and feeds back the platform with production data points

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Update your applications on the edge by remotely deploying new versions of your deep learning models.

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Gather production data (images and predictions) from the field to evaluate the true performance of your system and improve it using Deepomatic Studio

Cloud

IoT

Hardware