About Us
Pioneering AI-Driven Perception for Real-World Impact
At Au-Zone, we’re redefining what’s possible with edge AI and multi-sensor fusion. Our EdgeFirst Studio, Maivin, and Raivin modules are purpose-built to enable robust, adaptable perception solutions for off-road vehicles, autonomous equipment, robotics, and industrial automation. Leveraging advanced AI, radar-vision fusion, and field-proven datasets, we empower businesses to deploy solutions that perform reliably, even in the most challenging conditions.
With over 25 years of experience, our team has honed the technical expertise and industry insight required to drive innovation in spatial perception. Our roots in deeply embedded Computer Vision technologies and industry leading applied research in low-level radar fusion technology, coupled with successful collaborations with industry leaders, shape our approach to delivering world-class, production-grade perception solutions, tools and IP that minimize development time, optimize costs, and accelerate deployment.
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Our Vision
At Au-Zone, we envision a world where intelligent perception technologies empower autonomous systems to operate safely and efficiently in any environment. We are committed to driving continuous improvement in AI, applying foundational models, and refining multi-sensor fusion to set new standards for precision, adaptability, and resilience. Through relentless innovation and strategic partnerships, we aim to lead the future of edge-based AI, delivering solutions that evolve in capability, unlock new value, and enable our clients to meet the dynamic challenges of tomorrow.
Meet The Leadership Team
Brad Scott
CEO
Brad is an accomplished CEO with over 25 years of expertise in embedded AI, machine learning, and operational strategy, leading Au-Zone’s vision for advanced perception solutions in autonomous systems and industrial automation.
Sebastien Taylor
Vice President - R&D
Sébastien has over 22 years of experience in embedded software product development. His expertise focuses on design, implementation and acceleration of computer vision algorithms and ML deployments on embedded vision platforms.