Launch your AI in production, where the action takes place.
Deploy in one click
Demonstrate the value of your video recognition applications quickly, by deploying them in seconds on your first connected device.
Your AI applications always up-to-date
As your models evolve and their performance increases, easily push updates into production.
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.
… 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.
Video recognition at industrial scale
Deploy your video recognition systems locally or on the cloud, via Docker
Analyze images or IP video streams (RTSP, RTP, HTTP) easily via our SDK
Analyze data at industrial scale thanks to our native Kubernetes integration
Perform image or video inference programmatically via the local API
Handle your fleet of devices with the centralized platform
Deploy on servers using GPU or CPU mode
Embedded devices support (NVIDIA Jetson TX-2, Intel Myriad X)
We are compatible with
Each deployed device is connected to our centralized platform and feeds back the platform with production data points
Update your applications on the edge by remotely deploying new versions of your deep learning models.
Gather production data (images and predictions) from the field to evaluate the true performance of your system and improve it using Deepomatic Studio