In collaborations with hospitals, we focus on developing algorithms that maximize the quality of high-resolution images from limited data, particularly in medical imaging.

We're developing FireSat, a constellation of satellites using AI to provide near real-time insights for wildfire detection.

We utilize proprietary models and APIs to generate insights, allowing us to scale our services and provide timely information to clients during meetings.

Lidar measurements provide 3D models of trees, allowing for more detailed analysis compared to traditional planar images.

At Scale, we power the data infrastructure for the entire AI industry, with every major large language model built on top of our data engine, and we partner with enterprises and governments to implement this technology for their unique challenges.

We work with both large and small model providers, aiming to assist anyone who wants to collaborate with us on AI evaluation.

We work with both large and small model providers, aiming to assist anyone who wants to collaborate with us on AI evaluation.

We're using drones to analyze the built environment, focusing on processing lines rather than points, which is traditionally more challenging in computer vision.

As an application layer company, we must adapt to the rapidly changing landscape of AI model providers and ensure we are testing and integrating the best models available.