SPAIS™ (Spatial AI Systems) is a groundbreaking research and development platform integrating Geo-temporal embeddings, Geo-ontological embeddings, and knowledge graphs into a unified spatial reasoning framework.

We are inviting GeoAI researchers, vector database innovators, and AI infrastructure partners to participate in shaping the next generation of spatial intelligence.

SPAIS™ enables native vector-space reasoning across space, time, and meaning — with applications in transit systems, urban planning, and disaster response.

Collaborators gain access to exclusive research resources, including reference datasets, embedding models, technical documentation, and opportunities for co-authored publications in situated spatial reasoning.