Early-warning detection for fire and smoke in large facilities.
Reports exactly how long it took for first responders to arrive after detection. Use the data to optimize emergency protocols and reduce liability.
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.
Sub-Smoke Detection
Detect smoke plumes at their earliest formation — before heat triggers traditional sprinkler systems. Minutes of early warning in a large facility.
Multi-Zone Coverage
Monitor every corner of a warehouse, terminal, or facility simultaneously. No blind spots, no coverage gaps.
Response Time Reporting
Automatically log the delta between detection and responder arrival. Optimize emergency protocols with real data.
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.
Earlier Than Sprinklers
Detect smoke before heat-based sensors trigger.
Full-Facility Coverage
Monitor every zone simultaneously from existing cameras.
Response Analytics
Measure and optimize emergency response times automatically.
Earlier Than Sprinklers
Detects smoke at formation — minutes before heat-based sensors trigger. Critical time in large facilities.
Response Time Analytics
Automatically measures time from detection to responder arrival. Use the data to improve emergency protocols.
Full-Facility Coverage
Monitors every zone simultaneously from existing cameras. No blind spots, no coverage gaps.
No Additional Sensors
Camera-only detection. No need to install or maintain dedicated smoke or heat sensor networks.
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