Another Earth

Most AI models monitoring the planet today are limited by a lack of high-quality training data, especially for rare events, under-studied ecosystems, and scenarios that have not yet occurred. Another Earth addresses this directly: our synthetic data enables species-level forest and biodiversity classification, flood and drought scenario modelling, land-use change simulation, and predictive monitoring of infrastructure, mining, and agricultural landscapes. In internal testing, models trained with our synthetic data require up to 95% less real-world data while delivering around 20% performance improvements.

For Horizon Europe Cluster 6, we are particularly interested in contributing to calls focused on biodiversity and ecosystem services, land and water for climate action, and environmental observations and digital solutions supporting the Green Deal. We are open to joining consortia as a technology partner providing the synthetic training data and simulation capabilities that underpin next-generation EO and AI applications.