CubeNexus Inc

About CubeNexus Inc

CubeNexus structures spatial data in 4D. Their 4D decision intelligence platform (www.CubeNexus.ai) unites time and 3D location at the data layer using its patented TULSA architecture. This enable precise, scalable, volumetric indexing of massive time-series data. Unlike conventional systems, CubeNexus structures data spatially and temporally from the start, creating a foundation optimized for AI applications across sensor-agnostic, quantitative datasets. This allows companies to integrate emissions, grid, sensor, IoT, and asset data seamlessly, then query and visualize it through natural language and 3D tools. CubeNexus makes high-volume, multi-source data actionable, enabling predictive insights, anomaly detection, and intelligent automation at scale.

Team

Steven Brandt

Founder

Problem statement

Industries across energy, infrastructure, and mobility depend on high-volume sensor and IoT data but current systems like ERP, PLM, and data warehouses were never designed to handle massive, time-series, location-based streams. These tools silo data, lack spatial-temporal awareness, and require costly preprocessing before AI or analytics can be applied. As a result, organizations face delayed decisions, limited situational awareness, and underutilized assets. CubeNexus solves this by embedding time and 3D location directly into the data layer, creating a unified, scalable foundation for AI-driven insight across complex, sensor-rich environments.

Traction information

CubeNexus has secured active design partnerships across the energy and mining industries, including partnerships with Dataforge Technologies, Affectli, and . The company has engaged over 21,280 individual users and 182 qualified B2B leads, and is actively working with enterprise prospects such as T-Mobile, Devon Energy, and United Airlines. Backed by Techstars, 46 VC, and TitletownTech, CubeNexus launched in Aug 2025, with a projected $4M revenue target within 18 months.

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