Build high-performance, cross-platform, scale cost-efficient, and robust computer vision solutions across different infrastructure topologies.
Teams can collaborate to build, deploy, and operate all their computer vision applications in one place.
Move from prototype to production. Operate large-scale deployments with thousands of cameras. Use automated diagnosis and remote troubleshooting.
More than +30 pre-trained models ready to use in the apps. Collect training data, annotate the data, and train new Machine Learning models.
Build GDPR compliant computer vision, avoid storing or transferring any video data.
Reduce the sprawl of point tools, drive efficiency and agility. Decrease security risks, and reduce coding work.
Grant decision-makers with a comprehensive understanding of business operations for optimization:
Facilitate prompt response to critical safety events through alerts:
Computer Vision customized to your use case:
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Yes, our work is compatible with the main security cameras and the main video management systems.
See more: Supported Cameras & VMS
It usually takes 4-8 weeks from purchase to start of operation.
See more: Application Features
Depending on the version, it can be installed on edge devices, cloud and own servers. The collected anonymous metadata may be transmitted to third-party systems for further processing.
See more: Deployment Options
We support you in all stages, from conception to implementation and operation.
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You can find us email@example.com
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