Physical security is entering its next phase, and the shift is being driven by AI models built for the physical world, not just the data center. On July 1, 2026, Verkada announced a technical collaboration with NVIDIA along with a strategic investment from the chipmaker, marking one of the most significant developments in AI-powered physical security this year.
For organizations running Verkada across cameras, access control, sensors, and alarms, this partnership has direct implications for how quickly and accurately security teams can find what matters in their footage.
What Is the Verkada and NVIDIA Partnership?
Verkada, whose platform runs across more than 2.4 million devices at 30,000 organizations in 170 countries, is working with NVIDIA to accelerate the development of physical AI: AI systems designed to interpret and act on real-world, physical environments rather than purely digital data.
NVIDIA’s investment follows a strategic funding round from Alphabet’s CapitalG in late 2025, and signals growing confidence in Verkada’s approach to applying AI at scale across schools, hospitals, retail environments, and manufacturing facilities.
How NVIDIA’s Technology Powers Verkada’s Platform
The collaboration centers on two NVIDIA technologies:
- NVIDIA Cosmos world foundation models, used to strengthen Verkada’s AI-powered video search, multimodal embeddings, and vector retrieval for semantic search across camera feeds.
- NVIDIA Physical AI Data Factory, a synthetic data generation toolkit used to expand and diversify Verkada’s training datasets, improving model accuracy without relying solely on real-world footage.
Both companies report a 68% improvement in mean average precision for spatial-temporal video search since the collaboration began, a substantial gain in how accurately the system can locate specific events, objects, or people across large volumes of footage.
What This Means for Security Teams
For security operators, the practical benefit is speed and precision. Instead of manually reviewing hours of footage, teams can search video using natural, descriptive language and get more relevant results, faster. That matters most in the moments when time is critical: an incident investigation, a safety review, or a compliance audit.
It also means the platform organizations have already invested in continues to improve. Verkada customers are not being asked to adopt new hardware to benefit from this upgrade; the intelligence layer running on top of existing devices is what’s advancing.
Why Physical AI Is the Next Frontier
NVIDIA has been expanding its footprint from the data center into the built environment, pairing technical partnerships with strategic investments in companies building physical AI systems. Verkada’s scale, with millions of connected devices generating real-world operational data, makes it a natural partner for this next stage of AI development.
For organizations in government, healthcare, education, and critical infrastructure, this is a meaningful signal: the AI-powered security platforms available today are backed by some of the most capable AI infrastructure in the industry, and they are only getting more capable.
Frequently Asked Questions
What did Verkada and NVIDIA announce?
Verkada announced a technical collaboration with NVIDIA to accelerate physical AI across its security platform, along with a strategic investment from NVIDIA in Verkada.
What is physical AI?
Physical AI refers to AI systems designed to interpret and act on real-world, physical environments, such as video footage, sensor data, and access events, rather than purely digital or text-based data.
How does this partnership improve Verkada’s video search?
Using NVIDIA’s Cosmos world foundation models and Physical AI Data Factory synthetic data tools, Verkada has reported a 68% improvement in mean average precision for spatial-temporal video search.
Do Verkada customers need new hardware to benefit?
No. The improvements are delivered through Verkada’s software and AI models, meaning organizations with existing Verkada deployments benefit as the platform continues to improve.
Who is affected by this update?
Any organization using Verkada’s platform for video security, access control, or operational monitoring, including schools, hospitals, retailers, manufacturers, and public sector organizations, benefits from these AI improvements.
How GAV MGMT Helps You Take Advantage of This
As a Verkada design-build partner, GAV MGMT helps organizations across Canada plan, deploy, and optimize physical security systems built on the Verkada platform. If your organization is evaluating a new security deployment or looking to get more out of an existing one, our team can walk through what these AI improvements mean for your specific environment.
Contact GAV MGMT to schedule a conversation about your physical security strategy.
Written by Gianfranco, Digital Marketing Manager at GAV MGMT