AI video search for security teams

AI video search is software that indexes recorded footage frame by frame so it can be queried in plain English instead of scrubbed through by hand. GuardMind Recall is an AI video search platform built for security teams: it turns the footage you already have into a searchable index, so finding a moment across hours of video becomes a question you type rather than an afternoon you spend.

Reviewing video manually is the single most expensive routine task in most security operations. Industry surveys put the average investigation time for a single incident at more than six hours, and operators miss roughly 95% of screen activity after 22 minutes of continuous monitoring. Meanwhile most retention windows close at 30 days — an incident discovered after that is simply gone.

The constraint is not storage or camera coverage. It is that recorded video can only be addressed by camera and timestamp. If you do not already know where and when to look, the footage may as well not exist.

Sources: ASIS International and LP Magazine industry surveys.

Recall reads each frame and records what is in it — objects, people, vehicles, actions and their relationships — then stores that as a searchable index alongside the original video. The footage is not modified and nothing is discarded.

Because the index describes content rather than position, a query like forklift near loading dock B resolves without knowing which camera saw it or when. Results come back as timestamped clips you can export as evidence. In GuardMind pilot testing, most searches return in under 10 minutes across every camera.

Recall is a search layer, not a recorder. Your VMS or NVR keeps doing what it already does — capture and retain video. Recall sits on top of that footage and makes it addressable. Teams typically keep their existing infrastructure unchanged and add search to it.

Any recorded video: NVR exports, cloud storage, SD cards and body cameras. The format does not matter. This is the practical difference from tools that only index streams from cameras they installed themselves — the phone clip a shift lead recorded is searchable on the same terms as the fixed camera above the door.

GuardMind deploys on your own NVIDIA GPU servers. Every frame, every search and every alert stays inside your network, and the architecture is built for GDPR and CCPA compliance. Teams that need to prove value first usually start with a cloud pilot and move to a permanent on-premise deployment afterwards.

Recall answers questions about footage that already exists. GuardMind Reflex, currently in development, covers the other half: you write monitoring rules in plain English, and GuardMind translates each rule into vision logic and watches your existing RTSP cameras around the clock — alerting only when something actually matters rather than on every motion trigger.