Tampa, Florida – A Vienna-based startup has raised $4 million to scale a software platform that generates synthetic satellite data to train AI models to detect environmental and operational risks.
Other Earth announced seed funding on March 11 from a mix of European venture investors and Austrian government-backed innovation programs.
Maya Pindias, another Earth CEO who co-founded the startup in 2024, said the funding accelerates the deployment of the software, which is already commercially available to geospatial analytics firms like Novaterra in Brazil and South Africa’s Geoterra Image (GTI).
“In particular, we are prioritizing application areas in some of the world’s most complex biomes in Brazil and sub-Saharan Africa,” he said via email.
“By generating high-resolution, synthetic geospatial data and landscape simulations for these regions, Another Earth empowers organizations to monitor biodiversity, track deforestation, and simulate environmental risks in some of the planet’s most complex and vulnerable ecosystems.”
This technology can also help organizations estimate forest carbon stocks and other environmental indicators linked to regulatory compliance.
“We see massive growth opportunities in extending these predictive risk models into energy and supply chain monitoring, where accurate, temporal scenario simulations are invaluable for proactive decision making,” Pindius said.
The funding marks the startup’s first meaningful external investment and is aimed at transitioning the company from deep technical research and development toward broader commercial deployment.
While the space analytics market is growing with many providers, Pindius said the broader Earth observation industry is currently hampered by a lack of high-quality training data.
“High-quality training data is expensive, prone to bias, and often misses inaccessible areas or important ‘edge cases,'” he said. “Most analytics companies are forced to rely on this limited, manually labeled data.”
Another approach addresses this by combining proprietary generative AI with procedural 3D processing to create entirely new, high-resolution synthetic imagery, enabling developers to generate the large amounts of labeled data needed to train more reliable AI models.
The startup aims to make it easier to develop geospatial AI tools by providing broad access to training data and simulated environmental scenarios.
Amid a wave of investments in Europe’s space sector, Other Earth is the second Austrian space-related company to announce funding in recent weeks.
“We believe this surge is largely driven by the growing strategic understanding that Europe needs to achieve technological and operational independence in space,” Pindius said.
“This realization has been catalyzed by increased, targeted investment at the European Space Agency (ESA) and parallel national initiatives, which are fostering a collaborative and well-funded ecosystem for deep-tech and space startups across the continent.”
Another funding round from Earth included early-stage investors Wake-Up Capital, Rockstart, Innovexus and Stamco, with participation from Austria Wirtschaftsservice (AWS) and the Austrian Research Promotion Agency (FFG), two Austrian government-backed funding programs.