Funding Round

Lumana Secures $40M to Advance AI Video Security

StartupHub.ai Staff

By StartupHub.ai Staff, Editorial team

2 min read

Lumana Secures $40M to Advance AI Video Security

Lumana has closed a $40 million Series A funding round for its AI video security platform. The round was led by Wing Venture Capital, with participation from existing investors Norwest and S Capital. Consequently, this new investment brings Lumana's total funding to $64 million.

Transforming Cameras with Agentic AI

The company will use the capital to accelerate its go-to-market strategy and continue product innovation. Lumana's platform uses vision language models and agentic AI to convert existing security cameras into proactive monitoring systems. As part of the investment, Peter Wagner of Wing Venture Capital will join Lumana's board of directors.

The platform provides advanced analytical capabilities, moving beyond the offerings of traditional hardware providers like Axis Communications.

Lumana's technology enables behavior-based event detection for threats such as weapons, fires, or violence. Furthermore, its investigative tools offer over 100 search attributes, allowing users to search millions of hours of footage in seconds. This focus on software-driven intelligence differentiates it from more integrated hardware and software providers like Verkada.

Since its launch in April 2024, the company has acquired customers across retail, healthcare, and manufacturing, including Meta and McDonald's. These organizations use the platform for both physical security and operational insights, such as tracking customer traffic to optimize staffing.

Sources

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TopicsAgentic AIAILumanaPeter WagnerSecuritySeries AVisual Language Models (VLMs)Wing Venture Capital

StartupHub.ai Staff

Written by

StartupHub.ai Staff

Editorial team

The staff writers of StartupHub.ai, ranging from investment analysts to avid AI tool users, early adopters and critical enthusiasts. Backgrounds span engineering, business and the arts. We hold every piece to rigorous standards of research and review.

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