Insider Brief
- Verkada said Nvidia has invested in the company and is collaborating with it to expand physical AI capabilities across Verkada’s cloud-based security and operations platform.
- Verkada said its platform runs across more than 2.4 million devices globally and is used by more than 30,000 organizations in 170 countries, including schools, hospitals, retailers and manufacturers.
- The collaboration focuses on improving Verkada’s AI-powered video analytics and search tools using Nvidia technology, including Cosmos world foundation models and Physical AI Data Factory.
Verkada announced Nvidia has made an investment in the company and is working with it on AI systems to bring its physical security platform to more devices. Verkada said the goal is to bring more context-aware AI into the built environment, where cameras and sensors can help organizations manage safety, security and operations across physical spaces.
The Silicon Valley cloud-based physical security technology company said the collaboration is intended to help scale Verkada’s physical AI platform across more than 2.4 million devices globally. Verkada noted its systems are used by more than 30,000 organizations in 170 countries, including schools, hospitals, retailers and manufacturers.
Verkada builds cloud-based security and operations technology, including video cameras, access control, environmental sensors, alarms, workplace tools and intercoms. The company said it is using AI to help customers search, understand and act on data from real-world spaces such as schools, factories, hospitals and stores.
“Verkada has been building and deploying Physical AI before the term existed,” Verkada co-founder and CEO Filip Kaliszan said in the announcement. “With our footprint of more than 2.4 million devices across 170 countries and 30,000 organizations, we’ve proven that the built environment is one of the largest beneficiaries of AI. Working with NVIDIA supercharges what we’ve spent nearly a decade building: AI that keeps students safe in schools, protects workers on factory floors, helps retailers prevent theft, and enables organizations to operate more efficiently.”
The details fo the Nvidia investment were not disclosed and Verkada noted it follows a strategic investment from Alphabet’s CapitalG at the end of last year.
The collaboration focuses on improving Verkada’s video analytics and search tools and Verkada said it is using Nvidia technology to advance AI-powered video search, multimodal embeddings, vector retrieval and synthetic data generation. In plain terms, those tools are intended to help security and operations teams search video and sensor data more accurately by meaning, context and activity rather than only by time or camera location.
Verkada said it is using Nvidia Cosmos world foundation models and Nvidia Physical AI Data Factory to support model training and inference across its global device network. Since the collaboration began, Verkada said it has improved the mean average precision of its AI-powered search by 68% for spatial-temporal understanding, a measure tied to how well the system understands where and when activity occurs in video.
The company is also developing a multi-model search agent architecture and exploring reasoning models for more complex situations. Verkada said potential uses include identifying health and safety incidents on manufacturing floors and detecting retail shrinkage.
