CubeNexus is backed by a team that is poised to revolutionize 4D geospatial locationing and data analytics
Co-Founder & CEO
Director of Product
Director of Engineering
Sr. Systems Engineer
AI/ML Engineer
Sr. Engineering Consultant
Systems Engineer
Steven Brandt is a former U.S. Air Force contracting officer with deep expertise in defense acquisition, SBIR funding, and dual-use technology commercialization. During his military career, he evaluated and awarded cutting-edge innovation contracts across emerging tech sectors, developing a strong understanding of how startups can align their offerings with mission-critical government needs. After leaving the Air Force, Steven transitioned into venture capital, where he focused on early-stage investments in defense, AI, and SaaS companies. His combined experience in public-sector acquisition and private-sector scale-ups positions him uniquely to bridge the gap between government demand and startup innovation.
As CEO of CubeNexus, Steven leads strategic direction, business development, and capital formation. He is the driving force behind CubeNexus’s go-to-market strategy and customer engagement pipeline. Under his leadership, the company was selected by Techstars and secured funding from 46 VC, validating its potential in the $850B geospatial intelligence and analytics market. Steven’s operational knowledge, combined with a strong network in government and venture communities, ensures CubeNexus is well-positioned to scale its 4D spatiotemporal platform into enterprise and defense markets.
Adam Gobbo is a former Marine Corps infantryman and fighter pilot with over two decades of operational experience in high-stakes military environments. He served across multiple platforms including AFSOC’s MC-12 ISR aircraft and F-16s equipped with advanced SIGINT and ELINT capabilities. His deep understanding of mission planning, tactical ISR, and GPS-denied operations shaped his realization of a major gap in how spatial and temporal data is currently used across operational domains. Adam’s career placed him at the intersection of real-world combat missions and cutting-edge sensor systems, giving him the firsthand knowledge required to innovate at the infrastructure level of geospatial intelligence.
As CubeNexus’s CTO, Adam is the architect behind the company’s core technology: the Time United Location System Address (TULSA) framework. He has led the development of both the AI-integrated SaaS platform and the edge-based navigation solution, including contributions to six filed patents. Adam’s leadership has been instrumental in guiding the product vision to serve mission-critical use cases, from GPS-denied navigation to AR/XR-integrated digital twins. With a deep understanding of the user experience in defense, aviation, and energy, Adam ensures CubeNexus delivers operational tools that are both technically advanced and tactically relevant.
Peter brings over 10 years of experience in robotics, AI, and large-scale data systems, with a proven track record of designing and integrating complex software solutions across industries such as defense, healthcare, aerospace, and even Formula 1. His technical expertise spans from embedded systems to advanced cloud infrastructure, making him a perfect fit for CubeNexus’s mission to transform 4D data and spatial analytics.
At his most recent role at Istari Digital Inc., Peter served as a technical lead and product owner, spearheading projects in data security, AI model certification, and advanced mission planning systems. His accomplishments include developing a fine-tuning framework for LLMs using Microsoft Azure, leading architectural design for ML-focused platforms, and contributing to aerospace certification workflows with AI-based automation. With robust skills in AI, database, and full-stack development, Peter will play a critical role in driving our innovative solutions forward.
is a seasoned Unmanned Vehicle Systems engineer and robotics innovator with over eight years of hands-on experience in the design, integration, and deployment of unmanned aerial vehicles (UAVs), autonomous mobile robots, and counter-drone systems. Currently serving as a Solution Engineer for Robotics and Aviation at e& enterprise IoT & AI in Dubai, Moneesh leads initiatives that fuse emerging technologies with commercial applications, particularly in the telecommunications and aerospace sectors. His recent work includes spearheading a national Unmanned Traffic Management (UTM) campaign and optimizing drone-enabled preventive maintenance operations, which yielded a 20% cost savings and a 70% reduction in service time for telecom infrastructure.
Moneesh holds a Master’s in Aerospace Engineering and a Graduate Certificate in Unmanned Vehicle Systems from the University of Texas at Arlington. His technical portfolio includes expertise in Robot Operating System (ROS), computer vision with OpenCV, and advanced drone navigation through sensor fusion and onboard SDKs. He has played a pivotal role in delivering multimillion-dollar innovations, such as biometric self-service machines at Dubai International Airport. With a foundation that spans research, system design, and strategic market assessment, Moneesh consistently delivers high-impact solutions that align with the evolving demands of smart mobility, defense, and industrial automation.
Adam holds an MSc in Computer Science – Information and Cyber Security from Purdue University, as well as advanced degrees in Applied AI and Applied Mathematics from Cranfield University and Ecole Centrale de Nantes. His extensive experience spans research, consulting, and engineering roles, where he has led AI-driven projects across multiple industries.
Most recently, as a Research Assistant at Purdue University, Adam developed threat models and implemented jailbreak attacks on LLMs to improve online content moderation. He also collaborated with a leading global oil & gas company on AI-driven supply chain optimization, applying state-of-the-art reinforcement learning techniques. Prior to that, he worked as a Deep Learning Engineer at Valtech, optimizing transformer-based multi-modal neural networks for personalized e-commerce search experiences. His expertise includes NLP, reinforcement learning, cloud technologies, and large-scale data analytics.
With strong skills in Python, SQL, PyTorch, and cloud computing, Adam will play a key role in advancing CubeNexus’s AI and ML capabilities. We’re thrilled to have him on board and look forward to his contributions in transforming 4D data and digital twin technologies.
Michael has twenty years experience in creating high volume, highly available applications and content distribution platforms. Particular experience in the encoding, transformation and distribution of digital media: images, audio, and video; forming, managing the implementing teams from conception to completion.
Josh’s background in machine learning engineering and software development, combined with his six years as a Fire Control Sergeant in the Army National Guard, makes him a valuable addition to our team. His expertise in fire mission processing, data management, and system maintenance has honed his ability to optimize processes and deliver precise, innovative solutions. Additionally, his experience as an FAA Electroplating Technician at DuraCoatings has reinforced his strong attention to detail and problem-solving mindset.
Currently pursuing a diploma in Computer Software Engineering at Atlas School, Josh is passionate about applying his knowledge to drive advancements in spatial data, digital twin technology, and AI-powered systems. His ability to analyze complex systems and ensure seamless coordination will be instrumental in supporting CubeNexus’s mission.