AI for urban resilience

Turn scattered signals into coordinated response.

UrbanNerve fuses IoT sensors, city systems, and citizen reports into one operating picture. The engine verifies incidents, scores severity, and routes crews, alerts, and volunteers — so teams see a crisis sooner and act on it faster.

Built with pilot cities
Tallinn Valencia Lviv Dnipro
The gap

Crises move faster than the tools cities use to manage them.

Flood gauges, traffic feeds, and emergency calls live in separate systems. Managers lose minutes assembling a picture by hand — exactly when minutes matter most.

223
lives lost, 2024 Valencia floods
Delayed, ambiguous warnings contributed to the toll and ~15,000 displacements.
300K+
displaced people sheltered in Dnipro
Conflict compounds infrastructure failure with a fast-moving humanitarian load.
0
platforms that unify it all
Existing tools cover notification, mapping, or analytics — never all three together.
How it works

One platform, three moves.

The same loop runs in every city. Only the data feeds and languages change.

01 / DETECT

Detect

Sensors, city data, and citizen reports are fused and clustered in real time. Duplicates merge; suspect reports get flagged.

02 / DECIDE

Decide

The engine scores severity and risk. High-stakes or conflicting alerts route to a human reviewer before anything goes out.

03 / MOBILIZE

Mobilize

Targeted, multilingual alerts reach only the people who need them, while crews and volunteers are auto-assigned to incidents.

The platform

Everything an operations room needs, in one view.

Operations dashboard

A live map and incident feed, color-coded by urgency and overlaid with social-vulnerability data to prioritize response.

Targeted alerts

Hyper-local, multilingual notices to the residents and responders in the affected zone — not blanket city-wide messages.

Volunteer tasking

Registered volunteers and NGO resources are matched to active incidents by location and skill, with command-center oversight.

Human-in-the-loop AI

The engine assists situational awareness and prioritization, but never acts on life-critical decisions without a reviewer.

Private by design

Opt-in citizen reports, neighborhood-level location by default, and GDPR-aligned controls. Partners see aggregates, never names.

Health & social layer

Hospital, clinic, and shelter data connect in, so the engine can anticipate surges in demand for care, shelter, or supplies.

Live demo

Watch a flood unfold — and resolve.

The interactive demo runs a coastal-storm scenario on synthetic Tallinn data. Citizen reports and sensor feeds stream in; the AI clusters them into incidents, flags duplicates, scores severity, and dispatches response. File your own report by clicking the map.

What pilots measure

Designed to move the numbers that matter.

Every pilot is judged against city-specific KPIs, tracked from day one.

4→1
data sources fused into one operating picture
<60s
target time from report to dispatch
5
pilot cities targeted in Year 1
3
languages live at launch: EST · ESP · UKR
Get involved

Build the nervous system
your city is missing.

For city teams, civic-tech partners, and funders who want to see a crisis sooner and respond to it faster. Start with the live demo, then let's talk pilots.