VivaTech Opens New Doors for Beonyx in Europe
A recent, unexpected meeting at VivaTech Paris became one of the clearest signs of Beonyx’s growing momentum in Europe. After seeing our company profile among the exhibitors, a Swedish defence official responsible for ground-drone strategy visited the Quebec pavilion specifically to learn more about the B1. During the trip, our team also met with the […]
Beonyx Selected for Minerva Defence Innovation Grant
Beonyx is proud to have been selected for a prestigious defence innovation grant through the Minerva program. Chosen as one of only nine recipients from 109 submissions, we’re joining a select group of companies developing promising Canadian military solutions. The B1 is designed to transport people and payloads across terrain traditional vehicles struggle to reach. […]
Beonyx Named a Quebec Company to Watch by Le Journal de Québec
We’re proud to share that Beonyx has been named one of 40 promising Quebec companies to watch by Le Journal de Québec. The publication’s team consulted investors, financial institutions, and venture capital firms to identify companies with the potential to help shape Quebec’s economy over the next decade. Beonyx was recognized for developing the B1, […]
Building More Than a Machine: The Values Behind Beonyx
Beonyx started with an ambitious challenge: find a way to transport people and payloads to places otherwise only accessible by foot. Building that solution has required more than engineering an advanced all-terrain vehicle. Co-founders Louis Déry and Michael Martel have also had to build a company that can make difficult decisions while adapting to what […]
The Foundation of Autonomy: Strength, Collaboration, and the B1
Autonomous technology is only as capable as the platform supporting it. Advanced software may guide a vehicle and perform complex tasks, but it still needs a physical foundation that performs reliably in the environments where that technology matters most. Over the past four years, Beonyx has built that foundation through continuous intentional refinement informed by […]
