VectraSwarmOS is a secure edge operating layer for autonomous drone swarms — combining embedded Linux, hardware-rooted trust, authenticated MAVLink, encrypted mesh networking and auditable swarm coordination for critical infrastructure and defense-adjacent deployments.
VectraSwarmOS is productized as a non-invasive companion layer: trusted runtime, secure communication, consensus-driven mission integrity and compliance-ready fleet operations.
VectraSwarmOS targets environments where autonomous inspection must be trusted, policy-bound and auditable — not merely automated.
As drones move from remote-controlled tools to autonomous edge systems, operators need a sovereign trust layer: secure runtime, authenticated communication, auditable coordination and deployment evidence.
Internal positioning matrix — not a certification or formal benchmark.
Built by founders, security engineers and embedded-systems specialists combining venture-building experience with trusted systems, secure networking, edge AI and perception.
Commercial management, go-to-market strategy, and regulatory affairs. Background in entrepreneurship and deep-tech venture building.
Dhiman leads Vectraswarm’s technology and security organization. He owns the platform architecture and end-to-end security of the stack — from secure boot, key management and trusted execution to authenticated swarm communication and Byzantine fault-tolerant consensus. He is a PhD candidate in Computer Science at CISPA Helmholtz Center for Information Security & Saarland University, where his research focuses on trusted execution environments and hardware-rooted security.
Salome is a Rust and embedded systems engineer holding an M.Sc. in Embedded Computing Systems from RPTU Kaiserslautern (DAAD scholarship holder). As a Research Assistant at RPTU, she worked on distributed, fault-tolerant real-time control systems in Rust, including containerized microcontroller communication and RTOS-level scheduling and WCET analysis. Her background also includes embedded firmware development and iOS engineering at scale (100,000+ users).
Aerospace engineer with a PhD in Computer Vision and AI, 7+ years of industry experience. At Vectraswarm, he leads real-time object detection, scene understanding, and edge inference on embedded platforms — from ONNX to Hailo-accelerated inference. Previously Senior AI Research Scientist at Airbus and Selectron.
Amir contributes to Vectraswarm’s embedded Linux and trusted edge runtime. With embedded-security experience shaped by CISPA-adjacent research and engineering environments, FPGA-based systems, trusted execution environments and secure networking, he helps turn Vectraswarm’s secure swarm architecture into deployable edge systems. His expertise includes Yocto, Buildroot, OpenWrt, Linux kernel drivers, device trees, ARM platforms, Xilinx Zynq UltraScale+, Alveo and high-speed interfaces such as Ethernet, PCIe, AXI and RDMA.
Researcher and assistant professor holding a PhD in Computer Science and Applied Mathematics. He serves as Vice President of the Ivorian Operations Research Society and is an associate researcher at HZDR-CASUS and HIF. His scientific expertise is reflected in his role as a reviewer for the Springer Journal of Big Data, among other international journals.
Dr. Sven Bugiel is a faculty member at the CISPA Helmholtz Center for Information Security, where his research focuses on system security, trusted execution and hardware-rooted security architectures. As academic mentor to VectraSwarm — a role connected to the company’s CISPA StartUpSecure backing — he advises the team on the scientific foundations of its secure runtime and trust architecture.
In cooperation with the Embedded Software Systems Group of Prof. Dr. Olaf Spinczyk, University of Osnabrück — in the field of dependable system software for autonomous drones.
Discuss the architecture, deployment assumptions, PoC roadmap or research collaboration path.
Message received.
We will get back to you shortly.
Die Inhalte dieser Website wurden mit größtmöglicher Sorgfalt erstellt. Für die Richtigkeit, Vollständigkeit und Aktualität der Inhalte können wir keine Gewähr übernehmen. VectraSwarm ist ein Startup-Projekt, das unter dem EXIST-Forschungstransfer-Programm eingereicht wird. Es handelt sich nicht um ein bereits gefördertes Unternehmen.
Die Nutzung dieser Website ist in der Regel ohne Angabe personenbezogener Daten möglich. Soweit Daten erhoben werden, erfolgt dies nur mit Ihrer ausdrücklichen Einwilligung. Ihre Cookie-Einstellungen können Sie jederzeit über den Link im Footer anpassen.