The problem is a $684 billion one. That is the annual cost, according to industry estimates, of fragmented spatial analytics across energy, aviation, and defense [Austin Startups]. The data is there, from LiDAR scans to drone feeds, but it lives in incompatible formats and timelines. CubeNexus, a Tulsa-based startup founded in 2024, is betting that the answer isn't another dashboard. It's a new data layer.
Steven Brandt and Adam Gobbo, the company's co-founders, are building what they call a "voxel-native space-time" infrastructure [Perplexity Sonar Pro Brief]. Their flagship engine, Verity, aims to turn disparate sensor streams into a single, queryable fabric. The core innovation is a proprietary datum called Time United Locations, or TULs. It geocodes every data point into a volumetric cube with 3D coordinates and a timestamp, creating what the company describes as a 9-dimensional context layer for AI [Perplexity Sonar Pro Brief].
The Wedge: From Sensor Chaos to AI-Ready Fabric
CubeNexus is not selling analytics. It is selling infrastructure. The product ingests raw, unstructured data from sources like SCADA systems, PMUs, LiDAR, IoT sensors, and satellite imagery [Perplexity Sonar Pro Brief]. It then structures this data into the TUL format, making it uniformly queryable. The promise is to cut data management overhead by an estimated 61% and accelerate time-to-insight by 3x by making spatial data "AI-native" [Austin Startups].
This positions CubeNexus as a backend for decision intelligence platforms and industrial software teams. The initial wedge is in sectors where the cost of spatial confusion is highest and the data is most complex: oil and gas, aviation, and defense. The company launched its MVP in these verticals in 2025 [LinkedIn, February 2026].
A Team Forged in High-Stakes Environments
The founding team's background is a core part of the pitch. Both Brandt and Gobbo are U.S. Air Force veterans, with operational experience in environments where precise spatial and temporal data is not just valuable, it is critical [Hurricane Ventures].
- Steven Brandt (CEO). A former Air Force contracting officer, Brandt's career spans roles at the U.S. Department of Defense, NATO, and dual-use defense venture capital at Beyond Capital Ventures [CB Insights, Morningstar]. He holds a Master in Public Policy from Harvard University [Jesse Landry LinkedIn].
- Adam Gobbo (CTO). A former Marine Corps infantryman and fighter pilot, Gobbo brings over 27 years of operational experience, including flying F-16s and MC-12 ISR aircraft [cubenexus.xyz, SignalHire]. He is the inventor of the TUL system and a Tulsan, anchoring the company's headquarters [Hurricane Ventures].
The broader team includes a director of product and engineering leads, bringing the total headcount to around 10 employees [PitchBook].
| Role | Name | Key Background |
|---|---|---|
| Co-Founder & CEO | Steven Brandt | Ex-U.S. Air Force, defense VC, Harvard MPP |
| Co-Founder & CTO | Adam Gobbo | Ex-U.S. Marine & Air Force pilot, 27+ years operational experience |
| Director of Product | Shilpa Tiwari | Not specified in provided sources |
| Director of Engineering | Peter Galvin | Not specified in provided sources |
The Capital and the Competition
CubeNexus closed a $650,000 pre-seed round in June 2025, led by 46 VC with participation from TitletownTech, Hurricane Ventures, LvlUp Ventures, Rose Rock Bridge, and HealthX Ventures [Business Wire, June 2025]. The company is actively raising a $2 million seed round to scale [Perplexity Sonar Pro Brief].
The competitive landscape is fragmented, but the company's positioning is distinct. It is not a mapping service like OpenStreetMap or a consumer location platform like Foursquare. Its closer analogs are enterprise geospatial specialists like Axim Geospatial or data grid providers like VoxelGrid. The differentiator, according to the company's materials, is the proprietary TUL datum and the focus on creating an AI-ready, spatiotemporal fabric rather than just visualization or analysis [Perplexity Sonar Pro Brief].
Pre-Seed (Jun 2025) | 0.65 | M USD
Seed (Target) | 2.0 | M USD
Where the Wheels Could Come Off
The bet is ambitious, and the risks are commensurate. The primary challenge is market adoption. Convincing large, conservative industrial firms to rip out and replace foundational data infrastructure is a long, expensive sales cycle. The company's claimed efficiency gains of 61% are compelling but remain unproven at scale outside of early MVP deployments [Austin Startups].
Technically, the value hinges on the TUL system becoming a de facto standard for spatiotemporal data within its target verticals. If major cloud providers or incumbent industrial software giants develop a similar, bundled capability, CubeNexus could face severe pricing pressure. The company's answer likely lies in its deep domain expertise and the performance of its proprietary engine, but that is a thesis yet to be tested in a competitive bake-off.
The Next Twelve Months
The immediate milestone is closing the $2 million seed round. That capital will be directed toward scaling the engineering team, hardening the Verity engine for enterprise deployment, and landing flagship customers in the oil and gas and aviation sectors. A key metric to watch will be the announcement of a first major enterprise contract, which would validate both the technical approach and the sales motion.
Longer term, the vision is to become the universal spatial data layer for industrial AI, addressing a total addressable market the company estimates exceeds $850 billion [Austin Startups]. For now, the focus is narrower: proving that two veterans with a novel data structure can solve a $684 billion problem for the machine that needs to see.
The $650,000 from 46 VC and its syndicate bought the initial runway. The next $2 million will test whether CubeNexus can translate a compelling concept for Time United Locations into a united front of paying customers. Can a voxel-native fabric woven in Tulsa become the backbone for the world's most critical infrastructure?
Sources
- [Austin Startups] CubeNexus | https://austinstartups.com/companies/cubenexus
- [Perplexity Sonar Pro Brief] CubeNexus Brief | Source material derived from web-grounded research
- [LinkedIn, February 2026] CubeNexus Company Update | https://www.linkedin.com/company/cubenexus/
- [Hurricane Ventures] Hurricane Ventures Announces Investments | https://news.utulsa.edu/2025/07/hurricane-ventures-announces-investments-in-cubenexus-and-xplosion-technology/
- [CB Insights] Steven L. Brandt Profile | https://www.cbinsights.com/person/steven-l-brandt-1
- [Morningstar] CubeNexus Raises $650K | https://www.morningstar.com/news/business-wire/20250624357890/cubenexus-raises-650000-in-pre-seed-funding-to-rework-spatial-data-intelligence
- [Jesse Landry LinkedIn] Post on CubeNexus Founders | Source material from LinkedIn
- [cubenexus.xyz] Company Team Page | https://cubenexus.xyz/
- [SignalHire] Adam Gobbo Profile | Source material from SignalHire
- [Business Wire, June 2025] CubeNexus Raises $650,000 in Pre-Seed Funding | https://www.businesswire.com/news/home/20250624357890/en/CubeNexus-Raises-650000-in-Pre-Seed-Funding-to-rework-Spatial-Data-Intelligence
- [PitchBook] CubeNexus Company Profile | https://www.pitchbook.com/profiles/company/498845-81