Another Earth Raises €3.5M To Expand AI-Powered Earth Observation Platform

The round included Wake-Up Capital, existing investors Rockstart, Inovexus, Stamco AG, and support from FFG and AWS.

Another Earth uses generative AI and 3D modelling to create synthetic satellite imagery and geospatial datasets, helping organisations train and test AI models for monitoring environmental change and analysing land, water, and infrastructure at scale.

Another Earth’s technology tackles a major challenge in Earth observation AI: limited access to high-quality training data. Traditional satellite imagery is often expensive, especially in remote regions, and requires extensive manual labelling.

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By generating synthetic satellite data, the company automatically produces labelled and segmented datasets, enabling organisations to train AI models more efficiently while lowering costs and reducing potential bias.

Maya Pindeus, CEO and co-founder, highlighted that the planet faces growing threats such as land degradation and climate-related disasters, and AI can help address these issues provided it has access to the right data.

The biggest barrier to scaling Earth Observation AI is the scarcity and prohibitive cost of high-quality training data. With this funding, and our deployment into vital ecosystems spanning from Latin America to Africa, we are generating data where there is none. We are giving organisations the tools to transition from reactive crisis response to proactive, predictive intervention.

Another Earth is expanding internationally, building on its work in Sub-Saharan Africa with GeoTerra Image to monitor the environmental impact of mining and industrial sites.

The company is also growing its Synthetic Data Platform in Brazil through a partnership with NovaTerra, targeting applications such as deforestation monitoring, agricultural analysis and climate-risk assessment.

The new funding will accelerate the rollout of Another Earth’s Synthetic Data Engine and broaden its applications in environmental monitoring and risk simulation.

The company will focus on Brazil and Sub-Saharan Africa, producing high-resolution synthetic satellite data to support biodiversity monitoring, deforestation tracking and environmental risk assessment in vulnerable ecosystems.