Join the modern data stack for computer vision

Galeio's advanced geospatial models are pioneering an AI shift, unlocking actionable intelligence in satellite data.

We build next-generation AI models to process complex imagery in the most accurate and efficient way. By combining cutting-edge foundation models with domain-specific knowledge, we go beyond generic AI.

Our models are optimized to handle the complexities of real-world imagery, whether from satellites, drones, or ground-based sensors, delivering high accuracy and faster deployment on the toughest visual tasks where off-the-shelf solutions fall short.

Computer Vision on complex imagery is challenging

Labeled data is limited — or nonexistent.

In domains like satellite, medical, or industrial imaging, high-quality annotations are scarce, inconsistent, or prohibitively expensive. This bottleneck holds back performance where it matters most.

Domain shift breaks general-purpose models.

Models trained on one type of data often fail on another — from satellites to underwater sensors, context matters. Without adaptation, performance drops sharply in deployment.

Open-source models often fall short.

Most are built for consumer photos — not scientific or industrial data. Adapting them to niche, high-dimensional modalities takes significant effort and rarely meets expectations out of the box.

It takes more than models — it takes expertise.

Solving real vision problems requires deep understanding of the data, the sensor, and the task. That's why tailored models grounded in domain knowledge make the difference.