Conntour, a startup developing artificial intelligence-powered search technology for security video systems, has raised $7 million in funding led by General Catalyst and Y Combinator.

The company's platform uses AI models to enable security teams to search through camera feeds using natural language queries. Users can search for specific objects, people, or situations across multiple video streams without manually reviewing footage.

The technology allows security personnel to input requests in conversational language rather than using traditional search parameters or spending hours manually scanning video feeds. This approach aims to streamline security operations and reduce the time required to locate specific incidents or subjects.

Conntour's solution addresses a common challenge in security operations, where large volumes of video data from multiple cameras can be difficult and time-consuming to analyze. By applying AI models to this process, the company seeks to make security video systems more efficient and user-friendly.

The funding round will support the company's continued development of its AI search capabilities and expansion of its security video platform. General Catalyst and Y Combinator's investment reflects growing investor interest in AI applications for enterprise security solutions.