When you spend enough time around defense tech, you learn two things fast: the maps lie, and the sensors don’t talk to each other. Welcome to the chaos of spatiotemporal data, where a drone’s thermal feed, a cell tower’s RF signature, and a geologist’s seismic readout each live in their own lonely data silo. The problem? Machines don’t improvise like humans, and humans are drowning in data that refuses to sync. That’s where CubeNexus shows up, not as another player, but as the infrastructure.
Founded in April 2024 by Steven Brandt (ex-USAF, dual-use defense VC, Harvard MPP) and Adam Gobbo (Marine grunt turned F-16 pilot, now CTO building 4D geospatial intelligence like it’s second nature), CubeNexus is doing something rare: making spatial data usable at scale. Their Decision Intelligence Suite doesn’t just stitch together RF, LiDAR, optical, seismic, and IoT data, it builds a GPS-independent, AI-queryable, time-aware reality. That’s not buzzword soup. That’s infrastructure with teeth.
This week, they locked in $650K in Pre-Seed funding led by FortySix VC, with backing from TitletownTech and Hurricane Ventures (University of Tulsa’s venture arm). Tulsa’s not just the HQ, it’s the testbed. CubeNexus is already prototyping an all-sensor navigation system with Skyway 36 and the Choctaw Nation to support UAV autonomy where GPS fails. That’s not the future, it’s the baseline for any serious operator in telecom, defense, aviation, or energy.
Let’s talk tech for a second, because the stack here is nasty in the best way. The TULSA framework, Time United Location System Address, tags every data point with when and where it was seen, feeding a cube-based 4D infrastructure that visualizes everything from subsurface seismic to aerial RF coverage in real time. It doesn’t just track, it thinks. Natural language AI queries built on LLM integration mean an engineer can talk to the data without a PhD in syntax. And they’ve got six patents filed under Adam Gobbo’s lead to keep that moat deep.
This isn’t some one-off platform looking for a niche. CubeNexus is going after a $250B serviceable market inside an $850B global geospatial space. Defense intelligence, telecom network mapping, energy grid visualization, autonomous air mobility, it all needs real-time spatial coherence. That’s what CubeNexus builds. Not another dashboard. A unified dimension of truth.
So yeah, this isn’t a cute startup. This is two battle-tested founders throwing down hard science to solve one of the nastiest real-world problems in tech. A Marine and a Zoomie who figured out how to speak the language of every sensor in the battlespace, and then gave it a brain. Watch Tulsa. CubeNexus is building something the rest of the world’s going to need, whether they know it yet or not.
