Your data rarely lives in one place or format. We design, train, and deploy AI pipelines that bring it together, from cleaning and annotation to training and delivery. These systems power disaster response workflows that combine satellite and ground data, urban mapping platforms that support infrastructure planning, and coral monitoring that runs in near real time. With solutions tailored to your needs, you don’t just get a model, you get a system that works from data to decision.

Working at planetary scale demands more than maps. It requires visualization systems capable of handling massive, complex data in real time. We design tools like Lonboard, which brings GPU-accelerated vector visualization to the browser, and collaborate on digital twins and Earth-scale data science platforms that make global datasets easy to see and interact with. By making AI outputs transparent and interactive, we help your team build trust in the results and act with confidence.

Traditional search can’t keep up with the size and complexity of modern datasets, which is why we develop embedding-driven systems that surface connections and insights. These tools have powered projects like Global Nature Watch, which monitors biodiversity across massive datasets, and NASA’s data discovery platforms, which help researchers explore decades of Earth observation. Embeddings make it possible for your team to ask better questions and find faster, more meaningful answers.

Foundation models are reshaping how Earth data can be used, and we help organizations apply them directly to their missions. We have built and fine-tuned models for climate monitoring, biodiversity, and street-level imagery analysis, including projects like Clay, NASA’s Prithvi models. Beyond delivering technical expertise, we also help teams build their own capacity to apply these models, ensuring they remain at the forefront of geospatial innovation.

Imagine an assistant designed specifically for your mission; one that understands your data and helps you use it. We build agent-powered tools that guide scientists through complex datasets, support policymakers with context-aware insights, and make advanced models usable by non-technical staff. These agents reduce barriers and extend the reach of AI, helping decision-makers focus on outcomes instead of interfaces.

We apply AI where it matters most: climate, disasters, biodiversity, and resilience. Our work is deeply collaborative, advancing open solutions with NASA, WRI, The Nature Conservancy, The World Bank, Google, and other global leaders. Above all, we make data accessible, building tools that empower scientists, policymakers, and communities.