Next-generation 911 intelligence with real-time video, translation, and AI-driven triage.
EmergencyResponse AI, primarily spearheaded by the Prepared platform, represents the 2026 frontier of Public Safety Answering Point (PSAP) technology. The architecture leverages a high-availability, low-latency cloud infrastructure designed to augment existing Computer-Aided Dispatch (CAD) systems without requiring hardware overhauls. Technically, it utilizes a proprietary LLM-based speech-to-text engine optimized for high-stress, noisy environments, capable of real-time bi-directional translation in over 50 languages. Its 2026 market position is defined by 'Sentinel AI,' a predictive filtering layer that categorizes incoming multimedia data (video, images, and text) to prioritize life-threatening situations over non-emergency incidents. By integrating directly into the emergency services backbone, it enables dispatchers to see live video from a caller's smartphone and receive AI-generated summaries of the situation before the call even reaches a human operator. The platform is built on a CJIS-compliant framework, ensuring that all data handling meets the stringent security requirements of law enforcement and medical emergency response protocols.
Uses computer vision and NLP to scan incoming multimedia and text, flagging critical keywords and visual cues for immediate dispatcher attention.
Verified feedback from the global deployment network.
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Latency-optimized neural machine translation that allows a dispatcher and caller to speak different languages in near-real-time.
Aggregates handset-based location data (GPS, WiFi, Cell) with a proprietary refinement algorithm for sub-3-meter accuracy.
Maps multiple live video feeds from a single incident onto a geospatial dashboard for command and control.
Auto-transcribes and indexes every call for quality assurance and training purposes using semantic search.
Ability to forward live caller video streams directly to responding units' MDTs (Mobile Data Terminals).
AI analysis of vocal biomarkers to detect signs of extreme distress or concealed threats.
Dispatchers lack visual info on the size/scope of a fire.
Registry Updated:2/7/2026
Caller cannot speak safely but needs help.
Overwhelming call volume makes prioritizing difficult.