Geoskop provides climate predictions and projections, delivered as monthly forecasts up to a year in advance and impact evaluations up to 30 years. Their technology enables renewable energy, agriculture, and trading companies to integrate Climate Intelligence into their decision-making, enhancing climate risk management and resilience. Geoskop's AI-powered platform surpasses historical average prediction accuracy, supporting strategic and sustainable decisions.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations lack the ability to accurately predict and prepare for the impacts of climate change on their operations, investments, and regulatory compliance. Traditional climate models often fail to provide the specific, localized, and long-term forecasts needed for effective decision-making. This uncertainty can lead to inefficient resource allocation, increased risk exposure, and difficulty in meeting evolving environmental standards.
Solution
Geoskop provides climate intelligence solutions that enable organizations to understand and adapt to the effects of climate change. The company's AI-powered platform leverages climate big data and proprietary algorithms to generate accurate climate predictions and projections, ranging from monthly forecasts up to a year in advance to impact evaluations spanning decades. These insights allow businesses to climate-proof investments, improve operational efficiency, manage climate risks, and respond to regulatory disclosure requirements. By translating complex climate data into actionable intelligence, Geoskop helps companies enhance their resilience and make informed, sustainable decisions.
Target Audience
Geoskop primarily serves companies in renewable energy, agriculture, trading, re-insurance, and public sector, as well as investment firms needing to assess long-term climate risks.
Features
- Climate predictions and projections delivered as monthly forecasts up to one year and impact evaluations up to 30 years
- Proprietary algorithms (SKOP) for mid- and long-term climate forecasting
- Ability to predict wind speed, solar irradiation, and water precipitation variables
- Climate Big Data: Combines data from global climate change models, satellite imagery, and local weather stations
- Integration with EU taxonomy, IFRS, and US SEC rule for regulatory compliance
- Live Geomap for visualizing climate data