Deployed & validated with independent national authorities.
Flash floods arrive in minutes. District-level warnings don't.
Floods are Europe's costliest natural hazard — and flash floods are the deadliest, fast-growing kind. They are born in small headwater catchments, where the wave can reach a municipality in under fifteen minutes. Yet the systems meant to protect those villages fail them three times over.
National radar misses the storm.
National radar misses the storm. Flash-flood core spans 3-10 km, which is smaller than the resolution of grid that issues alerts at district level.
Commercial monitoring skips the village.
River-sensing providers serve national hydromet institutes, not the small municipality.
Level sensors only react.
They confirm a flood wave once it arrives. They don't predict it.
Valencia, 2024
232 lives lost across 78 municipalities. Storm Boris — €4.2 billion across six countries. Sudden, hyperlocal, and unpredicted at the scale that matters.
47%
Of the EU's €822 bn weather & climate losses since 1980 are flood related
3–10km
The storm-cell size national radar networks cannot resolve
<15min
For a flash-flood wave to reach a small headwater village
14k+
EU flood-risk areas legally required to have early warning by 2027
One end-to-end system — from the storm cloud to the citizen's phone.
Floodar is the first to combine self-calibrating river hydrometry, AI convective nowcasting, and a daily-value climate platform — at a price a small municipality can actually afford.
IoT Sensors
Industrial-grade IoT sensors monitor the local points where flood risk begins. Built on Meratch technology proven by 100,000+ sensors across 50+ countries, the system is reliable, low-maintenance and ready for early warning.
Storm Nowcasting+
Our meteorologist-built Convective Potential Index predicts the storm before the rain even falls. AI weather models combined with 2.5-minute satellite rapid-scan and lightning turn raw atmosphere into one plain-language warning: "torrential rain risk today."
Local Weather+
The same backbone delivers an industrial-grade hyperlocal forecast every citizen uses daily — two dry days to mow, frost alerts, irrigation timing — plus drought monitoring from the same sensors. An emergency system that shows its value every single day.
We watch the atmosphere load — then track the storm hours before the first drop
Days to hours ahead the first drop, the Convective Potential Index reads instability, moisture and wind shear. As storms initiate, minute-cadence radar pinpoints exactly which catchment is about to be hit at a resolution national warnings never reach.
A closed loop that buys you time.
Predict the storm, densify the network only when it matters, confirm the wave in the water, and warn in plain language. Each step extends the actionable lead time and multiplies battery life along the way.
Predict
Hours ahead, the Convective Potential Index flags when conditions favour extreme-rainfall storms.
Densify
On elevated risk the field network switches to minute-level reporting. Calm weather means years of battery saved.
Confirm
Deployed sensors confirm the rising wave while the nowcaster tracks exactly where the storm initiates.
Warn
An impact-based, plain-language alert reaches the mayor and citizens — with a 10 / 50 / 100 % risk semaphore.
Predict
Hours ahead, the Convective Potential Index flags when conditions favour extreme-rainfall storms.
Densify
On elevated risk the field network switches to minute-level reporting. Calm weather means years of battery saved.
Confirm
Deployed sensors confirm the rising wave while the nowcaster tracks exactly where the storm initiates.
Warn
An impact-based, plain-language alert reaches the mayor and citizens — with a 10 / 50 / 100 % risk semaphore.
Every catchment, on one screen.
The operational Floodar early-warning module on desktop and in every citizen's pocket. Map, in-stream gauges, rainfall trigger and impact-based alerts.
From the field — deployments
268
IoT sensors across 6 SK–PL catchments
4
Storm seasons, zero false alarms
1mm
Accuracy vs SHMÚ national etalon
409
Station network delivered to ČHMÚ
Radar level sensor (streamside)
Radar level sensor mounted on an extension arm to a tree, positioned directly above the channel to track river levels in real time.
Rain gauge
Solar-powered rain sensor deployed at the edge of the catchment, feeding live precipitation data into the early-warning network.
Radar level sensor (bridge-mounted)
Radar level sensor fixed to a road bridge, measuring water level and flow in the stream below without ever touching the water.
Whole family of field-proven sensors.
The self-calibrating Meratch Q keeps an entire low-cost network accurate. Around it, three more Meratch sensors widen what Floodar sees — from rainfall in the sky to moisture in the ground.
Meratch Q
Self-calibrating river discharge — 60 GHz radar level, radar surface velocity and a no-moving-parts lidar cross-section.
Radar Level Sensor
Non-contact 60 GHz radar water level — the workhorse that densifies coverage across a whole catchment.
Rain Sensor
Hyperlocal rainfall measurement that feeds the nowcaster and the 1-hour trigger which fires the warning.
Soil Moisture Sensor
Soil water content for runoff modelling and the drought-monitoring layer of Local Weather+.
Redundant comms
LoRaWAN, NB-IoT, 2G and satellite backup keep data flowing even when terrestrial networks fail during a storm — no dead zones precisely when the warning matters most.
Safety-critical design
High-quality electronics and advanced data-quality control flag suspicious readings and adjust predictions — hardened for civil-protection-grade, safety-critical use.
Find your municipality's flood risk for free.
Type your municipality name and get a flash-flood vulnerability report — a scientific risk index, economic exposure generated from public topography, rainfall and infrastructure data.
