Vydar has received an investment from Tenzing Alpha for further development, scaling, and commercialization. The Delft-based startup joined the Validation Program of YES!Delft and is located In the YES!Delft building at the TU Delft Campus. There is strong interest in the compact, mission-specific AI module that Vydar is developing for navigation without GPS. In Ukraine, for example, GPS signals are often jammed to make drone navigation impossible. With this technology, manufacturers of drones, UAVs, and other autonomous systems can improve performance and reduce their dependence on non-European suppliers.
Vydar’s systems are optimized for Size, Weight, Power, and Cost (SWAP-C) and enable AI to run directly on the platform, even in complex or GNSS-denied environments (where the use of GPS is made impossible). By designing hardware and software as a fully integrated solution, Vydar delivers systems that are more compact, energy-efficient, and reliable than generic platforms. This enables developers to focus on next-generation autonomous systems, including navigation and interception applications, surveillance solutions, and threat detection systems.
Background and development
The challenge of navigating without GPS and the difficulties of drone interception cannot be solved with a single technical solution. It is an electrical engineering and software engineering problem, combined with the economic reality of modern warfare. Every interceptor must be cheaper than the target it neutralizes. Every navigation module must be scalable in order to grow into an industry standard. Vydar builds systems that meet these requirements. The company was founded by a team with extensive experience in embedded AI, aerospace, microelectronics for AI, and sensor fusion. Together, they demonstrate that European technology can deliver sovereign, scalable, and affordable defense solutions.
Dual use
Vydar’s technology is suitable for both civilian and military applications. Examples include the security sector, industrial inspection drones, autonomous navigation in indoor and outdoor environments, as well as threat detection, interception systems, and other defense applications. This broad applicability makes the technology strategically relevant to Europe and contributes to technological autonomy in AI hardware.
