HORUS is a next-generation operational hypervisor built for European’s departmental fire-rescue services. Deployed on-premise or in a secure private cloud, it sits beside legacy incident-management systems fusing operational, HR, training and open-data streams into one live picture. A modular stack—interventions, station status, cartography, SMS/Email, statistics and large-format kiosk displays—lets each fire-rescue service activate only what it needs, keeping costs predictable while safeguarding data sovereignty.
Key dashboards and geospatial views surface interventions, resources and traffic in seconds, enriched by timeline replay, map drawings, drone video and hydrant layers. An AI model trained on a decade of history forecasts personnel availability a year ahead within 5 %, enabling proactive staffing and event planning. Rule-based alerting mirrors pager traffic with SMS, embedding dispatch tickets, GPS and read-receipts to secure the chain even when radios fail.
HORUS is engineered for resilience: all services run on a single virtual machine with optional hot-standby, read-only database replication and automatic security patching. Web-4.0 technology delivers responsive mobile access over 4G, while open APIs share selected views with neighbouring rescue services, media or the prefecture. Connectors—Waze for traffic, video calls with callers, weather vigilance and office report generators—expand capability without vendor lock-in.
By unifying fragmented data, injecting AI insight and extending situational awareness “anywhere, anytime”, HORUS turns supervision into an intelligent, evolutive service layer. The payoff is faster decisions, optimised resources and safer interventions for crews and citizens alike.
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HORUS seeks to become Europe’s reference operational hypervisor for rescue services. Its ambition is to turn dozens of siloed databases—incident logs, HR, training, open data—into a single, live picture that every decision-maker can read in seconds, from the dispatch room to a tablet in the field. By giving “hypervision everywhere, all the time”, HORUS will replace fragmented, reactive workflows with a continuous, predictive chain that cuts response time, balances resources and heightens safety.
Strategic aims:
Universal access – deliver web-4.0 dashboards and mobile UI to all 250 000 French firefighters and, later, partner agencies across the EU, whatever their legacy Operation Management System (Systel, Gipsi, NexSIS, etc.)
AI-based foresight – embed machine-learning models that forecast volunteer availability, incident load and resource saturation a year ahead with ±5 % error, enabling proactive staffing and risk mitigation
Interoperability & sovereignty – share controlled views with neighbouring rescue services, police, EMS and prefectures through open APIs while keeping all data on-premise, aligning with Europe’s secure-cloud objectives
Sustainable diffusion – ship the stack as one virtual appliance with optional hot-standby, auto-patching and à-la-carte modules that slash total cost of ownership for resource-constrained departments
Achieving these goals will bridge the digital divide between metropolitan and rural services, strengthen cross-border mutual aid and place European civil protection at the forefront of data-driven emergency management.
HORUS brings a decisive technological leap to emergency management:
Realtime data fusion – a micro-ETL streams updates from legacy Operational Management Systems, HR and IoT feeds into an in-memory graph refreshed every few seconds, erasing the 10-minute blind spot of current tools
Predictive workforce analytics – deep learning on ten years of duty logs forecasts volunteer availability hour-by-hour for 12 months with ±5 % error, supporting proactive rosters
Resilient multichannel alerting – rule-based SMS and email mirror pagers but add live ticket, GPS route and read-receipts, creating redundancy and a forensic trail
Augmented situational awareness – one-tap video calls with the caller, drone feeds, hydrant layers, live Waze traffic and shared map drawings turn a static dispatch screen into an interactive COP
Edge-light architecture – all modules run in containers on a single VM with read-only replication and hot-standby; patches apply automatically and the UI is optimised for 4G field use
Modular, open business model – SDIS activate only the needed modules (dashboards, kiosks, statistics, PDF/Office reporting) from €15 000/yr; open APIs expose live data to neighbouring agencies without lock-in
Together, these advances deliver predictive staffing, collaborative map-centric command, instant multimedia intelligence and cloud-grade resilience—capabilities once reserved for high-end C4ISR suites—within each rescue service’s own secure infrastructure and budget.
European fire-and-rescue services sit on rich but fragmented operational, HR and asset data locked inside ageing dispatch software; the limited use of modern web and AI technology further erodes productivity and agility.
HORUS acts as a unified operational hypervisor: it connects – in read-only mode – to any existing Operational Management System (Systel, Gipsi, Artemis, future NexSIS) and exposes a real-time, role-based digital twin of the department.
Key functions include:
live dashboards and geospatial views of incidents, vehicles and hydrants;
rule-based SMS / e-mail alerting that backs up radio paging;
AI models predicting volunteer availability 12 months ahead with < 5 % error; - automatic Waze-for-Cities traffic alerts to secure routes;
command-post tools (timeline, SITAC, video, shared whiteboard) for rapid common-operational-picture generation.
Events flow through an in-memory stream and reach web/tablet/kiosk UIs in < 5 s, even on rural 4G links; granular access control keeps sensitive data visible only to entitled users. Automated PDF/Word bulletins further cut post-incident paperwork.
The first production deployment at SDIS 90 (Territoire de Belfort) reports a three-fold reduction in decision latency and easier cross-station resource balancing, as noted by dispatchers and field officers. HORUS therefore turns siloed data into actionable intelligence while respecting EU data-sovereignty through on-premise or sovereign-cloud hosting.
Isara Technologies’ core squad mixes PhDs in AI and software R&D engineers, the President being drawn from the fire-service world. Charles Gaumet and Thomas Martinet—both IT researchers—work alongside AI PhD Alexandre Lombard and associated academics from the Distributed Knowledge & AI Lab. Their tight-knit team couples deep data-science expertise with frontline emergency experience to craft robust solutions, delivering resilient software for SDIS worldwide.
Isara Technologies’ core squad mixes PhDs in AI and software R&D engineers, the President being drawn from the fire-service world. Charles Gaumet and Thomas Martinet—both IT researchers—work alongside AI PhD Alexandre Lombard and associated academics from the Distributed Knowledge & AI Lab. Their tight-knit team couples deep data-science expertise with frontline emergency experience to craft robust solutions, delivering resilient software for SDIS worldwide.