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Green Nova

Green Nova uses satellite imagery and AI analytics to convert raw remote‑sensing data into high‑resolution maps and metrics of carbon emissions, land‑cover changes, and biodiversity health. The platform delivers scenario modeling, dashboards, and API access that help corporations, utilities, governments and NGOs identify and implement data‑driven decarbonisation and ecosystem improvement actions.

Founded 2024210+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Industries seeking to reduce carbon emissions often lack timely, high‑resolution data on land use, vegetation health, and resource flows, making it difficult to identify effective decarbonisation actions and track sustainability outcomes.

Solution

Green Nova combines satellite earth observation with AI‑driven analytics to turn raw remote‑sensing data into actionable insights for decarbonisation and biodiversity improvement. By integrating imagery from a network of upstream satellite partners, the platform generates detailed maps and quantitative metrics of emissions sources, land‑cover changes, and ecosystem health. Advanced modeling and machine‑learning algorithms interpret these data to highlight high‑impact opportunities, such as optimizing energy infrastructure placement, monitoring reforestation progress, or assessing supply‑chain carbon footprints. Clients receive customized reports and dashboards that translate complex geospatial information into clear, decision‑ready recommendations, enabling faster implementation of sustainability initiatives.

Target Audience

Primary customers are corporations, utilities, and resource‑intensive industries that need data‑driven guidance for carbon reduction and biodiversity strategies, as well as government agencies and NGOs monitoring environmental performance.

Features

  • High‑resolution multispectral satellite imagery processing for land‑cover, vegetation, and emissions monitoring
  • AI‑powered analytics pipeline that quantifies carbon sources, sinks, and biodiversity indicators across large geographic areas
  • Scenario modeling tools that evaluate the impact of potential decarbonisation projects and land‑use changes
  • Interactive web dashboards with map visualizations, trend charts, and exportable data sets for integration into corporate reporting systems
  • API access for seamless embedding of geospatial insights into existing ESG, risk‑management, or asset‑optimization platforms
This profile is AI-generated and may contain inaccuracies.