We guide advanced computer vision and AI models from experimentation to enterprise-scale deployment — building reliable, high-performance systems that accelerate innovation and generate real-world impact across industries.
A machine learning model that cannot be integrated at scale, is just a model that nobody can use.
At Augment Vision we are bringing machine learning for vision to life by implementing tools to scale a video network of ip cameras, applying MLOps best pratices to scale machine learning models through Kubernetes and Docker and making models interactive through custom user interfaces and industry specific use cases.
Augment Vision comes with a range of solutions helping you to setup a small video surveillance deployment flawlessly, with just a few cameras, and scale out to a large enterprise deployment, with thousands of cameras. It provides features to bring your own cloud (on-premise, hybrid, cloud), bring your own storage (Ceph, Minio, GCP, AWS, Azure, Storj, etc) and bring your own cameras (RTSP H264 and H265). In other words, you run the show!
