Another Earth raises $4 million to boost AI training with synthetic satellite data

TAMPA, Fla. — A Vienna-based startup has raised $4 million to scale a software platform that generates synthetic satellite data for training AI models to detect environmental and operational risks.

Another Earth announced the seed funding March 11 from a mix of European venture investors and Austrian government-backed innovation programs.

Maya Pindeus, Another Earth’s CEO who co-founded the startup in 2024, said the funding accelerates the deployment of software it is already providing commercially to geospatial analysis firms such as NovaTerra in Brazil and South Africa’s GeoTerra Image (GTI).

“Specifically, we are prioritizing application areas across some of the world’s most complex biomes in Brazil and Sub-Saharan Africa,” she said via email.

“By generating high-resolution, synthetic geospatial data and scenario simulations for these regions, Another Earth empowers organizations to monitor biodiversity, track deforestation, and simulate environmental risks across some of the planet’s most complex and vulnerable ecosystems.”

The technology can also help organizations estimate forest carbon stocks and other environmental indicators increasingly tied to regulatory compliance.

“We see massive growth opportunities in expanding these predictive risk models into energy and supply chain monitoring, where accurate, temporal scenario simulations are invaluable for proactive decision-making,” Pindeus said.

The funding marks the startup’s first meaningful external investment and is intended to shift the company from deep technical research and development toward broader commercial deployment.

While the space analytics market is growing with multiple providers, Pindeus said the broader Earth observation industry is currently bottlenecked by a lack of high-quality training data.

“High-quality training data is expensive, prone to bias, and often misses hard-to-access regions or critical ‘edge cases’,” she added. “Most analytics companies are forced to rely on this limited, manually labeled data.”

Another Earth addresses this by combining proprietary generative AI with procedural 3D processing to create entirely new, high-resolution synthetic imagery, enabling developers to generate large volumes of labeled data needed to train more reliable AI models.

The startup also aims to make geospatial AI tools easier to develop by providing broader access to training data and simulated environmental scenarios.

Another Earth is the second Austrian space-related company to announce funding in recent weeks, amid a wave of investment flowing into Europe’s space sector.

“We believe this surge is largely driven by a growing strategic understanding that Europe needs to achieve technological and operational independence in space,” Pindeus said.

“This realization has been catalyzed by increased, targeted investments into 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 Earth’s funding round included early-stage investors Wake-Up Capital, Rockstart, Inovexus and Stamco, with additional support from Austria Wirtschaftsservice (AWS) and the Austrian Research Promotion Agency (FFG), two Austrian government-backed funding programs.