Over 90% of sensor data generated today is unstructured and siloed across incompatible formats, making it nearly impossible to analyze holistically. Industries reliant on spatial intelligence (i.e. energy, aviation, defense, infrastructure) lose an estimated $684B+ annually due to fragmented spatial analytics: misdiagnosed grid faults, delayed wildfire detection, blind spots in airspace monitoring, and uncoordinated asset management. Existing tools force customers to manually correlate data from dozens of sensor types, a process that is slow, error-prone, and unable to scale. CubeNexus addresses a total addressable market exceeding $850B by providing a universal spatial data layer that makes any sensor data immediately structured, interoperable, and queryable by AI.

CubeNexus just closed a $120k ARR strategic contract with Energy Solutions.ai and has annual revenue from organizations including Dataforge, Affectli, ATA Aviation, and IO Aero, with a $4.5M pipeline. We are backed by Techstars, 46VC, and TitleTown Tech. Our technology is backed by 6 patents (5 PCT international applications filed from 2022 - 2025 covering spatiotemporal data storage, positioning, quantum computing encoding, navigation, and AI analysis, plus a U.S. design application with a favorable examiner interview). We have been accepted into multiple accelerators - including the Capital One Mobility Accelerator 2026 (accepted February 2026), Creative Destruction Lab - Rockies (Oct 2025) and Rose Rock Bridge Energy Accelerator (Mar 2025) - and maintain partnerships with AWS Partner Network, Databricks, and OGC.