Geospatial
Foundation Models.
Now.
Geo-Embeddings As A Service.
Access the powerful geospatial intelligence for any location on Earth using our API. Use comprehensive global embeddings of our foundational models that adapt to any use case and scale seamlessly from local to global contexts. Our unique contextual encoding captures the essence of locations, whether you're analyzing a city block or continental patterns. Integrate these versatile embeddings effortlessly into your systems to enhance location-based decision-making across diverse applications, from logistics to retail, from energy to beyond.
° First-ever GIS Geo-transformers processing Earth's fractal geometry through learnable high-dimensional coordinate embeddings and omni-scale spherical attention. Empowering ML teams with universal, production-ready location intelligence through our API.
° Pioneering Geo-embedding Arithmetic enabling mathematical operations on location patterns for instant insights. Transform success patterns across cities to generate feasibility heatmaps instantly.
° From optimizing global retail networks to planning urban infrastructure, unlock location intelligence at scale. Whether finding optimal coffee shop locations in Paris based on New York's patterns or projecting successful transit hub networks across continents, make data-driven decisions through our foundation models.
Every coordinate tells a story.
Discover World's first global
geospatial foundation models.
Enter the era of geospatial foundation models. Globeholder presents its pioneering architecture that truly encodes geospatial data. Our global foundational models provide accurate omni-context, multi-modal embeddings for any location on Earth, serving a wide range of applications. We offer a comprehensive understanding of geographic contexts, empowering industries and researchers with unprecedented insights. Our technology paves the way for more informed decision-making and innovative solutions to complex spatial challenges.
Geo-RAG.
Geo-Embedding Arithmetic.
Boost your ML Stacks.
