Urbio provides a geospatial data management platform that centralizes and analyzes energy data from various sources, enabling utilities to identify optimal locations for solar PV installations and CO₂ hotspots. By automating energy system design with machine learning, Urbio significantly reduces project planning time, allowing users to complete in five minutes what traditionally takes five days.
Funding
Funding not disclosed
SIFounders
Product
Problem
Utilities and energy consultants face challenges in efficiently identifying optimal locations for renewable energy installations and analyzing energy-related geospatial data from disparate sources. Traditional methods of energy system design and project planning are time-consuming, often taking days to complete.
Solution
Urbio offers a geospatial data management platform that centralizes and analyzes energy data from multiple sources, enabling users to identify promising locations for solar PV installations and CO₂ hotspots. The platform automates energy system design using machine learning, significantly reducing project planning time. Users can visualize and filter maps to locate CO₂ hotspots, identify suitable buildings for solar installations, and quantify market potentials.
Target Audience
Urbio targets utilities, energy consultants, real estate companies, and municipalities involved in energy transition and decarbonization projects.
Features
- Automated centralization and merging of energy data from open, commercial, and proprietary sources
- Geospatial visualization and filtering tools for identifying optimal locations
- AI-powered energy system design for buildings and cities
- Scenario creation and comparison for energy projects
- Identification of promising roofs for solar PV installations