Traditional CCTV analyzes every frame — storage, bandwidth and compute rise together. AIVisEye reads what matters at the edge and lets one VLM understand 17 industries.
AIVisEye filters at the source, so cost doesn't scale with cameras.
H.264 was built in 2003 for human eyes. Running AI on that footage means decompressing and scanning every frame. AIVisEye flips it: a funnel drops ~99% of frames at the edge, and a vision-language model judges only the moments that matter — as natural-language policy, not brittle per-object detectors.
17 domain-tuned agents detect violations, explain them in plain language, and recommend the next step — all scored by one shared precision/recall harness against human-labelled frames, so accuracy is a number you can audit rather than a claim.
Every event becomes structured, searchable intelligence. Ask a question — the VLM turns it into a precise query and returns evidence clips.
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