Human-State Intelligence for professional mobility.

GUARA Professional: the reference implementation

GUARA Professional demonstrates GUARA technology running locally on real Edge hardware in professional mobility. It combines local processing, real-time operational alerts and event reporting in a complete deployment. For organizations without existing infrastructure, it is also the most direct way to evaluate the complete GUARA stack. Hardware and installation are defined for each deployment.

It proves that the intelligence works under real conditions. The software layer behind it is what GUARA intends to scale across infrastructure and sectors.

Beyond a reactive driver-monitoring event

Traditional driver-monitoring interfaces often focus on detecting a specific event. GUARA adds temporal context: how signals persist, recover, repeat or combine. This supports a more continuous view of driver fatigue, drowsiness and attention rather than relying only on isolated detections.

The problem in context

Road crashes are multicausal, and GUARA does not attribute them to a single factor. Within that context, Argentine and regional public agencies identify fatigue, drowsiness, attention, vigilance and reaction time as relevant dimensions for operational safety.

ANSV’s 2025 report (partial and preliminary data) highlights the 6–7 and 20–21 time windows. This only identifies the windows highlighted by ANSV; it does not represent quantities or a risk curve.

CNRT publishes periodic statistics for long-distance, AMBA, regional and freight transport, which shows the scale of professional operations where human state affects safety and continuity.

Public sources: ANSV / Dirección Nacional de Observatorio Vial, “Informe de siniestralidad vial fatal año 2025. Datos parciales y preliminares”, data updated April 2026; ANSV Road Safety Observatory (fatigue and stress while driving); JST (observation topics and studies on fatigue in road transport); PAHO/WHO (road safety in the Americas); CNRT (2025 statistical reports).

Professional transport context

Potential deployment contexts include passenger transport, freight, logistics, long-distance operations and fleets. The objective is not to replace existing vehicle safety systems, but to add a human-state layer that complements operational safety processes.

Already running a fleet or telematics platform?

Mobility companies do not necessarily need to adopt a complete GUARA deployment. If you already operate cameras, Edge hardware or a fleet or telematics platform, software licensing and technology integration are open conversations today, subject to a technical assessment. Conversations about OEM / Embedded integration and technology partnerships with vehicle, device and camera manufacturers are also open. Integration tooling, including SDK/API-style interfaces, is under development; each integration is currently evaluated and defined per project.