GrowCarbon provides a global platform for creating tree-level digital twins and enabling continuous Measurement, Reporting, and Verification (MRV) for environmental assets. The platform offers per-tree analytics, air quality monitoring, and optional workflows for structuring and issuing voluntary carbon credits. This system allows large-scale landowners, cities, and enterprises to precisely track environmental performance and manage tree inventories as measurable infrastructure.
Funding
Funding not disclosed
Founders
Product
Problem
Urban planners and developers lack a scalable, sensor‑free method to measure real‑time carbon sequestration and air‑quality metrics across citywide natural assets, making it difficult to verify environmental impact and address health‑related pollution. Traditional field surveys are labor‑intensive and cannot provide continuous, granular data for individual trees, roads, or infrastructure. Consequently, cities cannot quickly assess or manage their carbon footprint or pollutant exposure.
Solution
GrowCarbon delivers an interactive, web‑based map that visualizes a digital twin of urban environments by integrating satellite imagery, street‑level photos, and AI‑driven allometric models. The platform calculates real‑time carbon sequestration for each tree and estimates traffic‑related CO₂ emissions for road segments, while also displaying live concentrations of over ten gases, including NO₂, CO, VOCs, and PM10. Users can toggle layers to explore canopy coverage, infrastructure emissions, or generate localized air‑quality snapshots with a single click. All calculations are performed without on‑site hardware, enabling rapid deployment across any city. The resulting data are presented through intuitive pop‑ups and dashboards, allowing stakeholders to verify environmental performance instantly and support data‑driven planning decisions.
Target Audience
The primary users are municipal environmental agencies, city planners, and real‑estate development teams that require granular, real‑time carbon and air‑quality intelligence to guide sustainable projects and policy decisions. Urban sustainability consultants and environmental NGOs also benefit from the platform’s data‑rich visualizations for impact assessments and community reporting.
Features
- Interactive map with toggleable layers for trees, canopies, roads, and built‑environment assets
- Asset‑level pop‑ups showing species identification, DBH, predicted growth, and carbon sequestration values
- Road segment analysis that estimates traffic‑induced CO₂ emissions using local emission and geometry models
- Real‑time air‑quality snapshot covering 10+ pollutants (CO₂, NO₂, CO, VOCs, PM10, etc.) with health impact ranges
- AI pipeline that applies 2,700 allometric equations to infer tree genus, structure, and growth dynamics for 350 species
- Satellite and street‑level imagery fusion to create a continuously updated digital twin without physical sensors
- Cloud‑hosted analytics delivering instantaneous sequestration and emission metrics at city, neighborhood, and asset scales
- Exportable data formats and API endpoints for integration with GIS tools, urban planning software, or reporting dashboards