Security teams are about to get a major upgrade in how they hunt through endless camera footage. Conntour, a Y Combinator-backed startup, just closed a $7 million funding round led by General Catalyst to build what it's calling an AI-powered search engine for security video systems. Instead of scrubbing through hours of footage or relying on basic motion detection, security teams can now type queries like "show me anyone wearing a red jacket near the loading dock yesterday" and get instant results. It's the kind of natural language interface that's been transforming other enterprise software, now coming to an industry drowning in video data.
Conntour is tackling one of the most tedious problems in corporate security - finding specific moments in massive archives of surveillance footage. The company's $7 million seed round, announced today and led by General Catalyst with participation from Y Combinator, comes as enterprises are scrambling to apply AI to operational workflows that have remained stubbornly manual for decades.
The pitch is straightforward but powerful. Instead of security personnel spending hours rewinding through camera feeds or setting up complex alert rules, they can simply ask questions in plain English. "Show me every delivery truck that stopped for more than 10 minutes," or "Find instances of someone entering the server room without a badge." The system processes the query, analyzes the video data using computer vision models, and returns the relevant clips.
It's a workflow transformation that mirrors what's happened across enterprise software over the past two years. Natural language interfaces powered by large language models have moved from novelty to expectation, and Conntour is betting that security operations are ripe for the same revolution. The difference is that instead of querying documents or databases, the AI has to understand and search through visual information in real-time.
The market opportunity is substantial. According to industry estimates, the global video surveillance market exceeded $50 billion in 2025, with enterprises managing hundreds or thousands of cameras across facilities. But the tooling for actually using that footage has barely evolved beyond digital versions of VCR controls. Security teams regularly cite video review as one of their most time-consuming tasks, particularly during investigations or compliance audits.
