Verkada expands physical AI platform to more than 2.4 million devices worldwide with new technology partnership and investment from NVIDIA
Verkada, a leader in AI-powered physical security and operations, announced a partnership with NVIDIA to accelerate the development and deployment of physical AI across the built environment. NVIDIA also joins Verkada as a new investor, following a strategic investment from Alphabet’s CapitalG late last year.
Verkada leverages AI to transform how schools, hospitals, retailers, manufacturers, and other organizations transform real-world operational data into actionable intelligence to keep people and places safe.
“Verkada has been building and deploying physical AI since before the term existed, and with more than 2.4 million device installations across 30,000 organizations in 170 countries, we have proven that the built environment is one of the biggest beneficiaries of AI,” said Philippe Calisan, co-founder and CEO of Verkada. “Our collaboration with NVIDIA builds on what we have spent nearly a decade building. AI keeps students safe in schools, protects workers on factory floors, helps retailers prevent theft, and enables organizations to operate more efficiently.”
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Verkada is working with NVIDIA to power the models and data flywheel that power intelligent video analytics, advancing AI-powered video search, multimodal embedding and vector retrieval for next-generation semantic search, and synthetic data generation to enrich training datasets and improve accuracy.
By leveraging NVIDIA Cosmos World Foundation Models and NVIDIA Physical AI Data Factory, Verkada accelerated model training and inference across its rapidly expanding global footprint with NVIDIA Accelerated Computing. Since the beginning of the collaboration, Verkada has increased the average precision (mAP) of AI-powered searches for spatiotemporal understanding by 68%, delivering faster, more accurate, and more robust search capabilities.
Verkada is also developing multi-model search agent architectures and exploring inference models to address complex, unstructured, real-world scenarios, from identifying health and safety incidents on the manufacturing floor to detecting shrinkage in retail environments. This collaboration reflects Verkada’s broader focus on deploying more capable, context-aware AI to make the built environment resilient and safe.
