From heat maps to decisions on every street.
UrbanClimate OS is a decision-support platform for city councils. It finds where heat is critical, explains why, and calculates which measure cools most, what it costs and where to apply it, before any money is spent.
Cities are overheating, and it is no longer an abstract problem.
- More pressure on residents' health
- Heat-related deaths
- Higher energy use for cooling
- Less comfortable public space
- Impact on tourism and the local economy
Spending grows on measures whose effect cannot be predicted.
Money is spent, and street temperatures do not come down.
The council's blind spot: no tool turns data into concrete action. Where to intervene, what to do first, what effect each measure will have and what it will cost.
Cities hold fragments of information, but no system for deciding.
| Criterion | Weather stations | Climate maps | Consultancy reports | UrbanClimate OS |
|---|---|---|---|---|
| Resolution | ×Too coarse | ×General trends | ✓Street level | ✓Street level |
| What-if scenarios | ×No | ×No | ×Static | ✓Dynamic modelling |
| Cost and effect per measure | ×No | ×No | ×No | ✓Budget and effect calculated |
| Data freshness | ✓Real time | ×Quickly outdated | ×Outdated on delivery | ✓Continuously updated |
From visualising the problem to a decision-support system.
Not just a heat map or a dashboard. The platform closes the full loop, from the first data point to measuring the result on the street.
Where is it hot?
Finds critical hotspots at street level.
Why there?
Asphalt, lack of shade, street canyons, materials.
What to do?
Trees, shade, cool paving, water.
What does it cost, how much does it cool?
Effect in degrees, cost and priority for each measure.
Did it work?
Street sensors compare before and after.
Cómo funciona, de principio a fin
Capas de datos, gemelo digital, socios, cálculo de la medida más eficaz, barrios existentes y nuevos, escenarios a 25 años.
Five steps from data to action.
Data collection
Weather, satellite, terrain, materials, vegetation, sensors and social layers.
AI diagnostics
Detects overheating zones and classifies causes and risk level.
Digital twin
A working 3D model of the problem areas.
Scenarios
Simulates interventions: trees, shade, cooling, drainage.
Recommendations
A prioritised list of actions with expected effect and estimated cost.
Urban climatology, geospatial data and AI, in four layers.
UMEP/SOLWEIG, open data and street sensors. Reliable results from the first pilot.
Trained on thousands of simulations and Torrevieja measurements. Scenarios in seconds instead of hours.
Reference framework of urban climatology. Oke, Mills, Christen and Voogt, Urban Climates, Cambridge University Press, 2017.
Tree-lined streets
On tree-lined avenues in a hot, dry climate, shaded air up to 2.5 °C cooler has been measured. Felt temperature improves even more.
Shashua-Bar & Hoffman (2000) · Oke et al., Urban Climates (2017)Climate in planning
Stuttgart has built climate maps into its urban planning since 1938. The idea is proven; what is new is doing it street by street with open data.
Oke et al., Urban Climates (2017), ch. 15Simulate before building
ENVI-met studies compare shade, ventilation and water with vegetation before intervening. Each measure tackles a different cause of heat.
Univ. of Parma · TalTech · ENVI-metOrbit the city, switch layers, test measures.
Torrevieja is the right city to validate it.
Why Torrevieja
- High summer heat load
- Dense urban fabric
- Tourism-sensitive economy
- Smart City and sustainability agenda
- A local ecosystem of innovation and digital twins
What the pilot will show
- Where the key overheating and risk zones are
- Which factors matter most in each
- Which measures give the most effect on a limited budget
- How to compare scenarios before building
- How to measure the result after intervening
First real heat map of the pilot area, scenarios and a heat audit.
Agreement with the council and sensors on the street before summer.
Measurements during heat, calibration and a first measure with before and after.
A second city and the AI core.
The pilot turns the idea into a demonstrable case, with data measured on the street.
We are looking for public and scientific partners.
We integrate data and science into a tool the council actually uses. Partners and their data stay visible in it.
For city councils
- A street-by-street heat-risk map
- A prioritised list of interventions with cost and effect
- Scenarios before investing
- Before-and-after measurement of each action
- Reports for national and European funding calls
- A pilot area
- Access to municipal GIS layers
- Permission to install sensors
- A technical contact
- A letter of interest
For universities and institutes
- A product layer that takes research to the city council
- Street-sensor data and a living lab in Torrevieja
- Co-authorship and topics for master's and PhD theses
- An SME partner for Horizon Europe and national proposals
- Scientific validation of models and results
- Methods in urban climatology and thermal comfort
- Participation in joint proposals
Partners' data and science become a tool the municipality uses.
We take research results to product in national and European consortia.
We measure the real effect of each solution on Torrevieja's streets.
Three forces are converging now.
Climate driver
Extreme heat, thermal stress and new loads on urban infrastructure.
Policy and funding driver
Spain and the EU are directing billions to the green transition, climate adaptation and deep tech.
Technology driver
3D GIS, urban-climate physics and AI models are now accessible together.
That opens a window for a project that answers a real municipal need, is deep tech, scales to other cities and can underpin national and European programmes.
Designed to scale across Europe.
Validation and launch
- Pilot in Torrevieja
- Technology demonstrated in a real setting
- National R&D funding
European integration
- Climate data from Destination Earth
- Horizon Europe consortia, Adaptation Mission
Scale
- More cities in Spain and the EU
- Water and flooding module · EIC Accelerator
Strategy, technology and product.
Alex Butenko
Vision and strategy, project concept, urban research, business development and partnerships.
Alex Udalov
Digital twin platform, AI and data analytics, IoT and sensors, technical architecture and integrations.
Alex Matiushchenko
Product strategy, UX/UI, user research, roadmap and team coordination.
What we have today and what the pilot will build.
Today
- A 3D twin with the real geometry of central Torrevieja
- A method based on urban climatology and open data
- An interactive demo of the full workflow
- A roadmap and funding plan
With the pilot
- Figures measured on the street instead of illustrative ones
- A model calibrated and validated with a scientific partner
- A first real measure with a before-and-after result
What does it cost the city to start?
The first phase is a bounded pilot in one area of the city. We aim to co-fund it through national and European innovation programmes, so the council's effort is mainly data access and a technical contact.
Does it replace staff or the tools the city already uses?
No. It is a support tool: it brings data and calculations into one place so the technical team can compare options and decide with more information.
What about data and privacy?
We work with open data and municipal layers under agreement. Population data is used only in aggregate and in line with GDPR. The council's data stays the council's.
Are the demo figures real?
No. The city geometry is real, but the temperatures and effects in the demo are illustrative. Real figures come from the pilot, with street measurements.
Do you recommend specific companies?
The platform compares types of solution (trees, shade, cool paving, water) with a public methodology that is the same for everyone. Procurement follows the council's usual procedures.
Let's build it together.
We present the demo to your technical or research team in 20 minutes.