Overview#
When a 911 call comes in for a suspected gas leak at a residential address, the old model meant the dispatcher asked for the address, looked it up manually, and hoped nothing was missed. The Argus Emergency Response Intelligence platform changes that: by the time the dispatcher answers, the screen already shows the address history, the nearest hazmat unit, the prior calls from that location, and an AI-generated urgency score based on what the caller is saying in real time.
Built for PSAPs, emergency communications centres (ECCs), and multi-agency dispatch operations, the platform transforms emergency call handling from reactive call-taking into proactive, intelligence-driven incident coordination. It delivers NG911 / NG112-compliant multimedia support with AI-powered call analytics, real-time intelligence fusion, and automated multi-agency coordination. The system is designed to handle mass casualty events, active shooter scenarios, natural disasters, and cross-border emergencies without requiring dispatchers to manually assemble context from separate tools.
Key Features#
- Next-Generation 911 / 112 (NG911 / NG112): Full multimedia support including text, photo, video, IoT device integration, and social media emergency posts for modern emergency communications beyond voice-only calls
- AI-Powered Call Analytics: Real-time sentiment analysis, threat assessment scoring, background sound detection, and language identification across 50+ languages to support dispatcher decision-making during call intake
- Intelligence Fusion: Automatic surfacing of location identification, caller history, active warrants, premise hazards, and criminal records before the dispatcher answers, providing complete situational context from the first moment of the call
- Automatic Multi-Agency Notification: Mandatory cross-agency alerts and shared situational awareness to prevent coordination failures during incidents involving multiple responding agencies
- Surge Management: Automated detection of high-volume periods with dynamic call routing, staffing recommendations, priority escalation, and overflow management for mass casualty events and severe weather
- Dispatcher Wellness Monitoring: Fatigue tracking, stress indicators, and wellness alerts that protect dispatcher well-being during extended or high-intensity shifts
- Real-Time Transcription: Live call transcription with searchability and instant record creation, supporting quality assurance and post-incident review
- Multi-Channel Communication: Voice, SMS, web, and video communication channels for NG911 / NG112-compliant emergency communications across all modern contact methods
Use Cases#
- Emergency Call Processing: Handle 911 calls with AI-assisted triage, automated priority assignment, intelligence-enriched caller information, and protocol-guided response to improve call handling speed and accuracy
- Mass Casualty Event Response: Activate surge protocols during major incidents with automated call routing, staffing escalation, multi-agency notification, and coordinated resource deployment across the region
- Multi-Agency Coordination: Share incident data, unit status, and situational awareness across police, fire, EMS, and specialized agencies in real time to eliminate communication silos during complex incidents
- Proactive Intelligence: Surface relevant intelligence about locations, callers, and active threats before dispatchers answer calls, enabling informed decision-making from the first seconds of an emergency interaction
- Operational Performance: Monitor call handling metrics, dispatcher workload, response times, and service levels to identify training needs, optimise staffing, and continuously improve emergency communications operations
Integration#
The platform integrates with CAD systems for automated dispatch, radio networks for field communication, mapping services for location intelligence, NG911 / NG112 ESInet-style infrastructure for multimedia call delivery, records management systems for intelligence fusion, and neighbouring PSAP systems for regional coordination. Supports NENA NG911 standards and NG112-aligned emergency communications patterns.
Open Standards#
- NENA i3 / NENA-STA-010.3 (Emergency Incident Data Object): The platform's core incident, agent, location, and vehicle data structures implement the NENA-STA-010.3 EIDO schema, enabling interoperability with NG9-1-1 CAD systems and neighbouring PSAPs via EIDO-compliant endpoints.
- NENA-STA-006.3 NG9-1-1 GIS Data Model: Emergency call routing boundaries, road centrelines, site/structure address points, and administrative layers are stored and validated against the NENA-STA-006.3-2026 GIS data model, with GeoPackage and GeoJSON ingestion per NENA-STA-021 provisioning procedures.
- RFC 7852 / NENA-STA-012 Additional Data Repository: The platform exposes and consumes RFC 7852 Additional Data blocks (all seven NENA-STA-012 standard block types) so that subscriber, provider, and service-info context is delivered to the dispatcher before the call is answered.
- RFC 5222 LoST (Location-to-Service Translation): An RFC 5222 LoST client resolves PIDF-LO location objects (RFC 4119 / RFC 5491) against the local NENA GIS data and upstream ESInet routing servers to determine the correct PSAP routing URI for each call.
- RFC 7865 / RFC 7866 SIPREC (Session Recording): Incoming SIP calls are recorded via the SIPREC protocol (RFC 7865 metadata, RFC 7866 SRS architecture), with segment sealing and Merkle-anchored integrity proofs supporting post-incident review and quality assurance.
- RFC 4103 / ITU-T T.140 Real-Time Text: Text-to-911 sessions use an RFC 4103 RTP transport (with RFC 2198 redundancy) and an RFC 8865 WebRTC data-channel bridge, both encoding ITU-T T.140 characters, so deaf and speech-impaired callers can communicate in real time.
- OASIS Common Alerting Protocol (CAP) 1.2: Mass-casualty and public-warning notifications are emitted as XMLDSig-signed CAP 1.2 messages using a tenant-scoped IPAWS Collaborative Operating Group identity, enabling interoperability with national alerting infrastructure.
- OGC SensorThings API (OGC 12-128r19): Automatic vehicle location (AVL) data is published to a FROST-Server endpoint as SensorThings Things and Observations, and GIS layer exports are produced as GeoPackage binaries decoded per OGC 12-128r19 §2.1.3.
Last Reviewed: 2026-01-07 Last Updated: 2026-01-07