Automated compliance for hardhats, vests, boots, and danger zones.
Automated compliance monitoring across every camera in your facility 24/7. Near-miss recording and automatic SOP triggering for industrial environments.
At Argu.ai, we pioneered the shift to Vision Agents. By combining Large Language Models (LLMs) with visual encoders, we built a system that understands the world the way humans do through context and language.
Full PPE Detection
Continuously monitor for hardhats, high-vis vests, safety boots, gloves, and goggles. Instant alerts when any required equipment is missing.
Danger Zone Enforcement
Define restricted zones in natural language. Receive alerts the moment an unauthorized person enters, with automatic camera flagging and logging.
Near-Miss Library
Automatically record and catalog moments where a violation almost occurred. Use the library for training, audits, and insurance documentation.
These are the core principles that define how Argu approaches every deployment. Our solutions are built to work on your existing infrastructure, require no engineering overhead, and deliver measurable results from day one. Every feature is designed with one goal: giving your team the intelligence to act faster, with more confidence, and without adding complexity.
Near-Miss Documentation
Every close call logged automatically for training and compliance.
Plain-Language Zone Rules
Safety managers define zones without IT involvement.
Audit-Ready Reports
Compliance logs generated automatically for regulatory submissions.
Near-Miss Recording
Automatically logs every close call — even when no alarm fires. Build a safety culture with real data.
Full PPE Detection
Monitors hardhats, vests, boots, gloves, and goggles simultaneously. Any missing item triggers an alert.
Plain-Language Zone Rules
Safety managers define zones and rules without IT involvement. No configuration expertise required.
Audit-Ready Compliance Reports
Automatically generated compliance logs ready for regulatory submissions and insurance documentation.
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