About
Built to adapt.
Proven to perform.
At QuNav, we are dedicated to transforming navigation technology to enhance safety and autonomy.

Our mission is to build unconditionally precise navigation for a safer world, everywhere, anytime.
We develop advanced navigation technologies that deliver accuracy and reliability in GPS-challenged environments, enabling autonomy, safety, and performance under any condition.
Our values
Technically elegant
Every decision we make, from code to interface, is shaped by a commitment to clarity, simplicity, and refined design.
Elegance isn’t just aesthetic, it’s about making the complex intuitive and beautiful in its function.
Creatively expressive
Creativity isn’t just about building something new, it’s about exploring possibilities, asking better questions, and being open to the unexpected.
Creative expression fuels our curiosity and drives problem solving, helping us unlock smarter, more inspired solutions.
Reassuringly reliable
That’s why we build solutions that don’t.
Our partners trust us because our technology performs when it matters most, whether in defence, autonomous driving, or complex GPS challenged environments.
Relentlessly precise
Our work is driven by a relentless commitment to solving the problem at its root, not just patching over symptoms.
We’re uncompromising in our pursuit of performance, making sure everything we build is not only functional, but exceptional.
Simply efficient
We respect time, resources, and energy, delivering high performing products that are streamlined, cost effective, and ready to deploy.
Our leadership team
Smart, adaptive navigation tech that works where others stop.
QuNav is a built up from a team of world-class engineers and researchers motivated by advancing the technology of positioning, navigation, and timing.

Dr. Soloviev's past and current projects include various aspects of multi-sensor fusion; integrated signal processing mechanizations (software receivers and deep integration); and, collaborative navigation (multi-node signal acquisition and tracking, decentralized estimation). He holds a Master of Science in Applied Mathematics and Physics from Moscow Institute of Technology and a Ph.D. in Electrical Engineering from Ohio University.
Dr. Soloviev is a recognized expert in the area of navigation. He received “William E Jackson Memorial Award” from Radio Technical Commission for Aeronautics (RTCA) and an “Early Achievement Award” from the Institute of Navigation (ION).
He has published 30 refereed journal and magazine articles, 59 conference papers. He is co-inventor of 3 U.S. patents and 1 UK patent. He has served as an Associate Editor for the ION NAVIGATION Journal, and as a Technical Representative on the ION Council.

Dr. Yang is the co-recipient of the 2006 IEEE PLANS-ION AM best paper, the 2007 Samuel M. Burka Award from the ION, and the 2009 IEEE NAECON Grand Challenge Winner Award. His work has been documented in 200 conference papers, book chapters, and journal articles.
He is the inventor or co-inventor of 9 issued U.S. patents and 5 pending U.S. patents. He received his title of Docteur en Science from the Université de Paris (XI), Orsay, France, in Sciences Physiques in association with the Laboratoire de Signaux et Systèmes (LSS) of the Centre National de la Recherche Scientifique (CNRS) and the École Supérieure d’Électricité (ESE).
His working experience and primary interests include baseband signal processing for GNSS, communications, and radar signals and nonlinear state estimation with applications in target tracking, integrated inertial navigation, and information fusion.

Dr. Ananth Vadlamani leads Software Engineering at QuNav. He has over two decades of experience in the navigation industry, spanning various roles across R&D, software architecture, development, and customer service. He has worked at major multinational OEM and chipset module manufacturers (Garmin, TI, Qualcomm) with a focus on commercializing GNSS solutions in wireless chipsets.
He has published 5 refereed journal articles, more than 20 conference papers, and is the recipient of multiple company awards for exceptional contributions to the business. Dr. Vadlamani holds a Ph.D. in Electrical Engineering from Ohio University.
Ananth’s work interests at QuNav include optimal sensor fusion techniques, embedded software architecture & development, enabling partner solutions, and supporting US Government SBIR programs.
We are looking for engineers and researchers who are motivated to advance the state-of-the-art in positioning, navigation and timing.
Let's talk about partnership, deployment, or testing your use case.


