What It's For
Sentinel turns unstructured two-way radio chatter into structured safety and operations insight. Designed for high-risk, high-complexity worksites where real-time communication is essential — but rarely analyzed — Sentinel uses speech recognition and machine learning to flag safety risks, operational inefficiencies, and leading indicators buried in daily radio traffic.
How It Works
• Converts recorded two-way radio audio into searchable transcripts using Automatic Speech Recognition (ASR)
• Flags hazardous conditions, non-compliant behaviors, or early warning signs from communication patterns
• Generates structured safety reports: frequent terms, sentiment shifts, shift-specific issues
• Integrates with site metadata (EMS, FMS, work orders) to add context
• Scales from MVP-level transcription to real-time analysis, environmental triggers, and incident reconstruction
Who It's For
• Mine site safety managers and operations leads
• Digital transformation teams modernizing site comms
• Risk, compliance, and ESG leaders tracking leading indicators
• OEMs and platform providers looking to integrate audio analytics into their stack
Why It Works
• Taps into a rich, underused data source: the radio
• Works with existing hardware — no need to change your comms stack
• Identifies not just what was said, but how and when it matters
• Helps companies move from lagging metrics to real-time safety intelligence