Perleybrook provides an AI‑driven safety and automation platform that combines rugged edge‑computing hardware with a cloud‑native analytics dashboard for industrial facilities. Its Flagman devices perform real‑time video analytics for human, obstacle, PPE, fire, and driver‑fatigue detection, streaming encrypted alerts to a unified hub that can automatically slow or stop equipment and generate compliance‑ready incident logs.
Funding
$120K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
CCSUFounders
Product
Problem
Industrial facilities face high rates of accidents, equipment downtime, and compliance challenges due to blind spots, manual safety monitoring, and fragmented data from disparate sensors. Limited real‑time visibility and slow incident response increase injury risk, regulatory penalties, and operational costs.
Solution
Perleybrook delivers an integrated AI‑driven safety and automation platform that combines rugged edge‑computing hardware with a cloud‑native analytics dashboard. Flagman devices—such as the Neo AI edge computer and purpose‑built cameras—perform on‑device video analytics for 360° human, obstacle, and PPE detection, driver monitoring, and fire or smoke identification with sub‑100 ms latency. Detected events are encrypted and streamed to the Unified Intelligence Hub, where real‑time alerts, multi‑channel notifications, and predictive risk analytics are presented in a single interface. The system supports PLC, CAN and relay integration to automatically slow or stop equipment, while continuous self‑diagnostics and predictive maintenance keep hardware operating in harsh environments. By centralizing safety data across sites, Perleybrook enables proactive risk mitigation, faster incident response, and audit‑ready evidence for ISO, OSHA and other regulations.
Target Audience
Primary customers are safety and EHS teams, plant managers, and automation engineers in manufacturing, warehousing, logistics, and process industries that need real‑time, AI‑based safety monitoring and equipment control across single or multi‑site operations.
Features
- Flagman Neo industrial AI edge computer with octa‑core CPU, 6 TOPS NPU, IP69K fanless chassis, and 4 + 1 multi‑camera architecture for real‑time 360° vision
- On‑device AI models for human, obstacle, PPE, fire, and driver‑fatigue detection with <100 ms inference latency
- Encrypted communication, predictive diagnostics and self‑health monitoring for 99%+ uptime in –20 °C to +80 °C conditions
- Unified Intelligence Hub dashboard offering live event streams, interactive analytics, heat‑maps, and compliance‑ready incident logs
- Multi‑channel alerts via dashboard pop‑ups, email/SMS, sirens, and PLC/CAN integration for automatic equipment slowdown or stop
- Role‑based access control, AES‑256 encryption, audit trails and ISO‑27001 aligned data privacy
- Scalable deployment across multiple plants with cloud‑SaaS or on‑premises LAN options and 99.9% SLA availability
- Expandable I/O: 6 × USB, Gigabit Ethernet, dual‑band Wi‑Fi, Bluetooth 4.2, HDMI 2.1, DP 1.4, 6 × relay outputs and M.2 PCIe slot for custom extensions