How Weeteq is Revolutionizing Microcontroller Technology for Industrial Automation

EDGE AI POD

What happens when you push AI to the absolute edge of networks? Meet Weeteq, a Scottish startup revolutionizing system optimization by bringing intelligence directly into microcontroller control loops.
In this fascinating conversation with Martin from Weeteq, we explore the concept of "Ultra Edge" - technology that operates beyond what we typically consider Edge AI. Unlike conventional approaches that process data at the device level, WeTech's innovation works within the microcontroller itself, detecting and responding to error signals in less than one-tenth of a millisecond. This isn't just incremental improvement; it's challenging fundamental assumptions about what's possible at the lowest levels of our technology stack.
The implications are profound across multiple industries. For industrial automation, WeTech's technology optimizes motor performance without requiring expensive hardware replacements. In electric vehicles, it extends range by reducing energy consumption and minimizing stress on traction motors. Even safety-critical systems in autonomous vehicles benefit from their comprehensive monitoring capabilities. All this comes from a lightweight implementation that works with existing infrastructure - no ripping out and replacing required.
Martin also shares insights into Scotland's vibrant technology ecosystem, tracing his journey from Honeywell to startup founder and highlighting how universities like Strathclyde are fueling innovation in everything from robotics to renewable energy. It's a reminder that groundbreaking technological advances aren't limited to Silicon Valley or other well-known tech hubs.
Ready to discover how ultra-edge computing might transform your industry? Listen now and glimpse the future of real-time system optimization.

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1. Introduction to WeTech and Edge AI (00:00:00)

2. Ultra Edge Technology Explained (00:02:03)

3. Real-Time ML Models and Applications (00:05:23)

4. Scotland's Tech Ecosystem and Innovation (00:09:05)

5. Industrial Applications and Future Directions (00:15:23)

6. Closing Thoughts and Invitation (00:19:47)