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Unify spatial data in 4D for Spatial AI
pitch_v1_importChicago, TulsaFounded 2024
AerospaceIndustrial AutomationTelecommunicationsMapping & Location Services
🟢 Raising seed — $750K target
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Unify spatial data in 4D for Spatial AI
pitch_v1_importCubeNexus is building the 4D data structure for spatial applications of Agentic AI. We bring value to customers by cutting data management overhead by 61% and increasing accuracy and time-to-insights by 3x by making all spatial data AI-native. Our solutions transforms unstructured sensor data - from SCADA, PMUs, LIDAR, IoT, GPS, cameras, satellite imagery, and more - into a unified spatiotemporal format called "grains". Grain data is superstructured using cubes or TULs (Time United Locations). TULs geocode every data point into precise volumetric cubes with 3D coordinates plus time, creating a 9-dimensional context layer that enables AI agents, anomaly detection, spatial clustering, predictive analytics, and natural-language querying across any sensor type. We deliver our technology as a SaaS data management engine and through industry AI agents. We sell to data analytics and data management firms like decision intelligence, industrial software, & ERP providers, serving energy, aviation, defense, and infrastructure end customers who need to make real-time decisions from complex spatial data.
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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.