Pre-made solutions with technical and end-user support
Asyncronous video stream processing tech optimizing computational distribution
Tech framework
Developer tools (SDK, ML constructor, UI-kit), app incubator, pilot run system
Developer platform
Public and private cloud deployment models
Cloud + Edge
The easiest way to build ML models for computer vision and implement them in your business
Meet the new era of video analytics
Features that simplify day-to-day development
The model is a combination of developers, users and data pools concentrated in one point on a single platform
The user chooses pre-made video analytical solutions from the App Market
The platform simplifies the creation of apps, where 90% of the work is already done with the help of application builder
Technological framework combines cloud and edge resources for a drastically reduction in computational resource consumption
Collaborative model
The choice is yours
Better together
Flexibility
UX with care for users
Technological innovation at the heart of the platform
Fully asynchronous video stream processing technology
The platform simplifies the creation of apps, where 90% of the work is already done with the help of application builder
The tech allows to distribute computing power between end devices and a data center or cloud, which lets you to radically reduce the cost of processing video streams, as up to 90% can be done on an edge device
Dynamic load balancing technology
Privacy and security for video processing
Privacy
Video stream does not leave the edge device, only tensors and metadata are transmitted to the cloud
Example of an ansyncronous scalable app
Get updates from our team!
The future of video analytics is coming in Q4 2022