GaiaHub provides a near‑real‑time emissions monitoring platform that combines air‑quality sensor data with mobility information to deliver continuous greenhouse‑gas insights for cities. Its customizable dashboard, AI‑driven forecasts, and API access enable municipal planners and transport agencies to visualize trends, receive alerts, and optimize traffic and infrastructure decisions.
Funding
Funding not disclosed
Founders
Product
Problem
Many cities rely on estimated emissions data from fuel sales or periodic reports, which prevents real-time monitoring and timely response to air quality issues. Without continuous, accurate data on greenhouse gas emissions and traffic patterns, urban planners and policymakers cannot effectively manage pollution or assess the impact of infrastructure changes.
Solution
GaiaHub offers a near-real-time emissions monitoring platform that integrates air quality sensors with mobility data to provide continuous insight into urban greenhouse gas levels. The platform aggregates data into a customizable dashboard, enabling city officials, transport operators, and environmental teams to visualize current emissions, predict short‑term trends, and evaluate policy impacts. AI‑driven analytics generate instant alerts on air quality changes and traffic congestion, supporting proactive traffic‑light management and construction planning. Users can also access the data via APIs to build bespoke applications or integrate with existing city systems. By turning raw environmental data into actionable intelligence, GaiaHub helps cities reduce carbon footprints, improve public health, and meet climate‑neutral objectives.
Target Audience
Primary customers are municipal governments, urban planning departments, and public transport agencies seeking real‑time environmental intelligence for city‑wide sustainability initiatives.
Features
- Near‑real‑time monitoring of greenhouse gas emissions sourced from traffic and air‑quality sensors
- Modular, customizable dashboard that presents region‑specific data, heat maps, and trend visualizations
- Machine‑learning models for short‑term traffic and emissions forecasting to support traffic‑light optimization
- API and data access packages for integration with third‑party tools or development of custom solutions
- Automated alerts for significant air‑quality changes and congestion hotspots
- Support for mapping and managing electric vehicle charging station availability
- Service‑based billing that lets municipalities select only the modules they need