What it sells
Transform your video monitoring with AI
Business model breakdown
Buyer: who owns the budget?
UnverifiedSecurity operations / SOC managers and loss-prevention or operations heads at monitoring companies, retailers and transport operators.
Trigger: what makes them buy now?
Alarm fatigue from false CCTV alarms and slow manual footage review when closing investigations.
Workflow: what inputs become what output?
Connect existing IP cameras/alarm feed; AI filters false alarms and explains each event; text-prompt forensic search across footage; dashboard to retrieve footage, tag and collaborate.
Economics: what it saves and how it charges
Cost scales with number of cameras and customer needs; claims to reduce false alarms by over 95% and lower operating costs; volume discounts from 1000 cameras.
Distribution: how it reaches customers
Demo-led and free guided pilot (Book Free Pilot / Request Demo), plus open API and integrations.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 2019 | — | Y Combinator | ycombinator.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.