AI-Native Monitoring Platform
Reimagining Monitoring
Connection, Aggregation, Distribution
Connection, Aggregation, Distribution
Today, monitoring has high false alarm rates, requires proprietary equipment and platforms, receives a low priority response from first responders, and provides too little information during an emergency.

∞ secure connections to rich contextual data from multiple sources in an emergency. Breaking with the need for proprietary hardware and platforms and focusing on sources of critical information (sensor data, end user platform data, unrelated platforms, human presence, video, location data, end user input, any relevant source).
Securely transporting, storing, interrogating, and combining data for the highest fidelity event assessments. Leveraging the power of AI fusion to process many sources, simultaneously, and utilizing the combinatorial assessments to categorize the events to The Monitoring Association's Alarm Validation Scoring Standard (AVS-01). The mission is to provide better information for better choices.
Liberating the distribution of critical event information from proprietary interfaces / platforms and supplying it in any format and to any recipient necessary. This will include individuals (end users, responsible parties) or organizations (monitoring centers, Emergency Communication Centers (911) and or Emergency Responders, via NG911 (I3), ASAP, or any other required protocols) that needs the information in an emergency.
Built from the ground up, Signal-Agent.AI, is being built with artificial intelligence as a fundamental, core component, not an add-on feature. To make the leaps that are possible with AI solutions a fundamental requirement is having the correct humans to build with it. The platform is being designed, built, and managed by monitoring industry thought leaders and domain experts. The team is leveraging AI for rapid development, with revolutionary features, and a dramatic reduction in cost to produce, maintain, and serve. AI is intrinsic to the architecture, operations, and decision-making, and will enable continuous learning, adaptation, and intelligent automation throughout the entire process and lifecycle. Signal-Agent.AI solutions will be inherently more integrated, context-aware, and powerful than anything available on the market today.
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