- Maps and Geolocation
- Cloud Solutions
- Real-Time Solution
Snitch is an emergency response coordination platform built around three things: real-time geolocation, multi-channel input, and a distributed dispatch model. It pulls data from human users and automated detectors, routes incidents to the right service and district within seconds, and works across geographies – a single town up to a national rollout. It also keeps running when the public internet doesn't, which makes it usable in scenarios where most platforms quietly fall over.
client
Acropolium
Czech Republic
100+ employees
This is an internal project built by Acropolium R&D department.
Acropolium is a trusted software development company, with headquarters in the Czech Republic and engineering operations across Europe. Over more than two decades, the company has delivered custom software, modernization, and digital transformation projects for clients in transportation and logistics, hospitality, healthcare, fintech, retail, risk management, and adjacent sectors. The team holds ISO 9001:2015 certification and is top-rated on industry review platforms including Clutch, GoodFirms, and Techreviewer.
This emergency helper project was an internal R&D initiative. Acropolium's research and development department has historically used internal projects to validate emerging technologies on realistic workloads before bringing them into client work.
request background
Building Emergency Helper Software Around Real Operational Needs
Working with several companies in the risk management space had given the team a granular view of how emergency response actually breaks down in practice. The pattern was consistent across organizations and geographies. Incident reports arrived through fragmented channels: phone calls, paper logs, separate dispatch systems for police, ambulance, fire, and utility services. Every handover introduced delay, transcription error, and the risk of incidents falling between agencies entirely.
The commercial software available on the market generally addressed one slice of this problem. Some products handled emergency notification software requirements well, pushing alerts to citizens or staff. Others focused on emergency services dispatch software for a single agency, with little or no capacity to coordinate across jurisdictions. Few offered an integrated approach that could ingest data from automated detectors alongside human reports, route incidents geographically rather than by phone tree, and adapt to the specific organizational structure of each deployment without months of customization.
Resilience was another structural blind spot. Most off-the-shelf emergency communication software assumed a stable internet connection, centralized cloud infrastructure, and uninterrupted power. In real emergencies – natural disasters, large-scale outages, civil disruption – those assumptions are exactly what fail first. The cases where coordination matters most are the cases where conventional platforms are least reliable.
We saw an opportunity to build a single emergency helper that would consolidate these requirements into one coherent product. The system needed to accept inputs from diverse sources, distribute them to the correct responders with full geographic and service-type context, and continue operating when the broader network did not. The result was Snitch, a platform designed to prove that this combination was technically achievable and operationally useful at scale.
challenge
Tackling Fragmented Dispatch, Communication Delays, and Connectivity Gaps
The first challenge was integrating fundamentally different input types into a single emergency incident management software pipeline. A user of the system was defined broadly: anyone or anything capable of sending out geolocation or image data. That meant a person on a mobile phone, a smoke detector reporting an alarm event, or a road webcam capturing a traffic incident all had to be treated as valid sources. Each source produced data in its own format, at its own cadence, with its own reliability profile, and the platform had to normalize all of it into a consistent incident record without losing the contextual detail that responders needed.
Distribution logic was the second challenge. The bottleneck in fragmented emergency response is rarely the alert itself; it is the question of who receives it and how quickly they can act. A flooded basement is a water utility issue, not a police matter. A road webcam capturing a collision needs to reach traffic services and ambulance dispatch simultaneously, not sequentially through a manual phone chain. Building emergency response management software meant designing a routing layer that understood service type, geographic district, and responder availability, and that could deliver each request only to the dispatcher whose remit it actually fell under.
Communication delays compounded these structural issues. Conventional emergency communication software workflows often involve a citizen calling a single emergency number 🡪 a human operator triaging the call 🡪 manual entry into a dispatch system 🡪 onward radio communication to a field unit. Each step adds seconds, and each handover is a potential failure point. Compressing this chain meant letting the originating signal propagate to the relevant dispatcher with location, incident type, and contact details already attached.
Connectivity was the third constraint. Emergency alert system software that depends on a live internet connection is fragile by design. The architecture had to support continued operation when the public internet was unavailable, which meant the system could not assume centralized cloud reachability as a baseline. Local Wi-Fi networks, mesh deployments, and government-operated backup networks all had to be viable transport layers.
Scalability across deployment sizes added a further requirement. The same platform needed to be deployable in a small town, across a regional network, or as part of a national emergency management software rollout, without architectural rework at each step. Adding new client services such as a new utility, a new patrol unit, a new isolated facility like a seaport or airport, could not require rebuilding the core. It had to be a configuration step.
goals
- Build a unified emergency management software platform capable of ingesting inputs from both human users and automated detectors, including geolocation and image data, into a single incident record.
- Compress the time between incident detection and dispatcher action by routing every request directly to the responder whose service type and geographic district matched the incident.
- Design emergency dispatch software that supported multiple client roles (distinct services, agencies, and patrol units) within one shared infrastructure rather than as parallel systems.
- Enable resilient operation independent of public internet availability, including support for local Wi-Fi networks and government backup networks during war, natural disaster, or large-scale outage scenarios.
- Make the system flexible enough to add new client services on demand, so the same platform could serve social services, city utilities, security and fire services, and isolated facilities without rebuilds.
- Validate Node.JS as a foundation for real-time, event-driven emergency response software, establishing reusable patterns for future client engagements.
- Build a deployment model that scaled cleanly from a single town to a national emergency management mapping software footprint without architectural rework.
solution
Building a Distributed, Real-Time Emergency Helper Platform
Node.JS, Java, Swift, React.JS, React native
2 years- 7 specialists
We started with an investigation and planning phase, mapping the full incident lifecycle from initial signal to closed dispatch. The architectural decision that shaped everything else was treating the user as any source capable of sending geolocation or image data, including mobile applications, smoke detectors, and road webcams.
Every input route through a single server layer that decodes the message, extracts the user data such as name, phone number, location, and image payload, and analyzes the incident before distributing it to the relevant clients. Clients in this architecture are dispatcher endpoints tied to a specific service and geographic district. Dispatcher 8001 sees only the incidents in their remit; 8002 and 8003 see theirs. The request arrives with full context, so the responder can either call the user back for clarification or send the appropriate brigade immediately.
We designed a second client role called Patrol, connected directly to the central server and built for field units that need to act on incoming requests in real time without an intermediate triage step.
Deployment scenarios for the emergency management software are the following:
Social emergency services. Ambulance dispatch, police response, and search and rescue coordination, where the routing layer gets a high-priority report to the nearest available unit with location and caller details already attached.
City and municipal services. Water main failures, electrical outages, road damage, and traffic incident routing, replacing fragmented utility-specific dispatch tools.
Security and fire response. Building fires, intrusion alerts, and evacuation coordination across protected facilities, with automated detectors and human reports feeding the same incident record.
Wartime civil defense. When public internet, mobile networks, or power infrastructure are degraded or deliberately disrupted, the local-network fallback lets a government bring up a backup network and keep emergency coordination running for affected citizens.
Natural disasters. Earthquakes, floods, hurricanes, wildfires, severe storms, and volcanic events share the same failure pattern: central infrastructure is compromised when coordination matters most. Automated detectors often pick up disaster signals before human reports arrive, and the offline-capable design keeps responders coordinated when standard channels go down.
Our dedicated R&D team delivered the following emergency response software solutions across the two-year build:
- A unified incident ingestion layer accepting input from mobile applications, sensor devices, and image-capable detectors, with normalization into a consistent incident record format.
- A real-time routing engine on Node.JS that distributes each incident to the dispatcher whose service type and geographic district match, eliminating manual triage for the majority of cases.
- Native mobile applications built with Swift for iOS and React Native for cross-platform reach, giving end users a fast, low-friction path to raise an incident.
- A web-based dispatcher console built on React.JS for service desks, showing live incident lists, location data, and originator details with full context attached.
- A distinct Patrol client connected directly to the central server, designed for field units that need to act on incoming requests without dispatcher intermediation.
- Integration patterns for adding new client services on demand, so the platform can absorb a new utility, agency, or isolated facility as a configuration rather than a rebuild.
- Geolocation and emergency management mapping software capabilities tying every incident to a precise coordinate and district, supporting both routing and post-incident analysis.
- Backend services on Java for the components requiring strong type guarantees and long-running stability, paired with Node.JS for the event-driven real-time layers.
- A resilience layer supporting operation over local Wi-Fi and backup networks, so the platform continues functioning when public internet is unavailable.
- Internal documentation and reusable architectural patterns that have since informed Acropolium's broader work in risk management and critical infrastructure software.
outcome
Flexible, Scalable Foundation for Emergency Response Coordination
- Snitch is flexible in adding new client services on demand, which means the same platform can serve social, municipal, security, and isolated-facility deployments without architectural changes.
- The system can be integrated across any geographic range, from a single town to a regional network to national-scale emergency services dispatch software, removing the cost and time of building a comparable solution from scratch for each level of government.
- The platform can operate without public internet, using local Wi-Fi or backup networks. Every client and user within range of an active network retains full access to services, which makes the system viable for war, natural disaster, and large-scale outage scenarios where conventional emergency notification software fails.
- The unified architecture compresses the path between incident detection and dispatcher action, removing the manual triage handovers that introduce delay and error in fragmented response models.
