Video is everywhere - but finding what matters is still manual.

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At Spot AI, we partnered with security and operations teams to understand how video fits into real-world workflows, from incident response to daily site monitoring, and where existing systems break down.

Traditional video monitoring is reactive - teams only search after something goes wrong.

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We found that operators were drowning in footage, alerts, and manual review. The tools existed to record incidents, but not to prevent them - and investigation workflows were slow, inconsistent, and hard to scale across sites.

What if we revolutionized CCTV Footage with VLMs?

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We designed Spot’s Video AI Agents to help teams detect risk sooner, summarize what happened instantly, and trigger next steps - without requiring constant monitoring or complex camera expertise.

Building an Agentic intelligence platform that works 24/7.

We partnered with Fortune 500 clients to design a system where AI Agents could understand scenes, answer natural-language questions, and generate operational insights across multiple cameras - all within workflows that felt familiar and non-intrusive to frontline teams.

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Our biggest challenge wasn't capability - it was trust and culture.

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Early feedback showed strong excitement, but also hesitation: teams were reticent to trust the AI's feedback, and concerned that the tool would be intimidate operators on-the-floor. We iterated on language, UX patterns, and workflows to reinforce psychological safety, trust and shared accountability.

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AI Agents that monitor, analyze and act on video in real time.

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We refined the system around practical, real-world workflows: clearer evidence presentation, faster retrieval, and “what to do next” actions built into the moment. This enabled teams to reduce investigation time, improve incident consistency, and use near-misses as coaching opportunities - not blame events.

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