Business Plan

Transforming urban climate planning into sustainable business opportunities

Strategic Vision & Market Opportunity

Executive Summary

Problem

Cities face increasingly severe heat waves and poor air quality. Urban planners lack precise, user-friendly tools to predict how new projects and green areas will affect temperature, pollution, and comfort.

Solution

A predictive web platform combining NASA and Copernicus satellite data with machine learning. It forecasts temperature, air pollution and comfort changes over the next decade, and allows users to simulate the impact of new constructions, green zones, and materials.

Value

  • • Supports municipalities in climate adaptation planning
  • • Helps engineers assess environmental performance
  • • Enables citizens to find "cool and clean" areas
  • • SaaS + API + consulting

Current Stage: MVP under development for Málaga (hackathon prototype)

Market Context & Opportunity

Urban Climate Challenges

  • • +2 to +7°C in city centers vs rural zones
  • • Increased air pollution (NO₂, PM₂.₅, O₃) during heatwaves
  • • Higher health and energy costs

Market Growth

  • • Climate-analytics sector: +20% annually
  • • 500+ European cities (>100k inhabitants)
  • • Billions in EU adaptation funds

Value Proposition

Pain Points

  • • Municipalities: lack of predictive tools
  • • Private sector: need fast project evaluations
  • • Citizens: no access to real-time heat/air data

Our Solution

  • • Predict 10-year evolution of temperature & pollution
  • • Simulate impacts of vegetation & materials
  • • Web map + API + mobile "Cool City" mode

Market Segments

Municipalities

Plan climate-resilient projects

City councils, regions

Engineering Firms

Assess project impact

Environmental consultancies

NGOs / Media

Awareness & visualization

Climate journalists

Citizens

Find fresh, low-pollution areas

Urban dwellers

Researchers

Risk modeling, forecasting

Universities, utilities

Data Ecosystem

Temperature Sources

NASA Landsat LST, MODIS → Base heat signal

Vegetation Data

HLS NDVI/EVI → Cooling effect modeling

Pollution Sources

Sentinel-5P (TROPOMI), CAMS → NO₂, PM₂.₅, O₃

Climate Data

MOD16A2, ERA5-Land → Humidity & energy balance

Urban Features

Landsat SR, ESA WorldCover → Surface heat storage

Mobility Data

OSM, TomTom Index → Heat & NO₂ hotspots

Product & Revenue Model

Urban Climate Dashboard (SaaS)

Interactive map, reports → Municipalities

€2k–€10k / year

Impact Simulation API

GeoJSON input → Δ°C + ΔNO₂ + ΔUTCI

€0.10–€1 / ha

Δ°C:Temperature change (delta degrees Celsius)
ΔNO₂:Nitrogen dioxide pollution change
ΔUTCI:Universal Thermal Climate Index change (human comfort)

Custom Reports

Detailed assessments → Developers

€3k–€20k / study

"Cool City" Portal

Citizen web/mobile access → Public

Funded by grants/ads

Go-To-Market Roadmap

Hackathon

Month 1

Málaga MVP

Pilot Cities

3–6 months

Dashboards for 2 cities

Beta SaaS

6–12 months

Full map + API

Scale

12–24 months

Spain + France rollout

EU Expansion

24–36 months

Horizon Europe partnership

Competitive Landscape

ClimateView

Focus: Emission dashboards

Limitation: No spatial prediction

UrbClim

Focus: Physical urban model

Limitation: Static, hard to customize

CRCTool

Focus: NBS planner

Limitation: Lacks pollution forecast

ECOTEN

Focus: Consultancy

Limitation: No SaaS, no citizen mode

Scalability Potential

Global Reach

  • • Cities worldwide
  • • Biomes adaptation
  • • Multiple data types

Technical Evolution

  • • Infrastructure suggestions
  • • Available APIs
  • • Real-time processing

Advanced Features

  • • Digital twins projects
  • • AI-powered recommendations
  • • Integrated IoT sensors