Wiebe Janssen

Builder · Researcher · Founder

Building intelligent physical systems where hardware, neurobiology, and AI converge.


My mission is to build brain-inspired computing and intelligent physical systems that expand human cognition ahead of AI, starting with restoring independence to those who have lost it. I've built energy technologies spanning battery packs at Tesla, solar powertrain at Lightyear, and AI-driven robotics at Universe Energy. I turn first-principles engineering into products with real-world impact.


ABOUT

I've been driven by one question for most of my life: What is consciousness? That question began when I was sixteen. My mother passed away from a brain tumor, and watching someone you love lose their memories, personality, and independence made me wonder whether consciousness could one day be understood, restored, or even expanded.

I started by trying to understand the nature of reality, beginning with the physical world. As a kid, I built everything I could, from Lego Technic trucks and robotic arms to model rockets. In high school, inspired by an article on brain imaging, I built a magnetic levitation system for a science project. That curiosity led me to aerospace engineering, where I learned to think from first principles by designing complex physical systems, starting with propulsion.

Two books shaped my worldview: Abundance by Peter Diamandis andThe Third Industrial Revolution by Jeremy Rifkin. Both argued that abundant clean energy would reshape civilization while stopping climate change. Since then, I've believed that every major leap in civilization starts with an energy revolution, and batteries were the missing piece. After stumbling upon Elon Musk's 2012Wired interview, I knew Tesla was where I wanted to help build that future.

At 27, I moved to California to join Tesla, where I learned how exceptional teams build ambitious hardware with the speed and iteration of software. I designed the Model X battery structure to make battery packs safe, leading to its 5-star crash rating, and helped shape the early Model 3   prototype ahead of 325,000 reservations in the first week. Tesla taught me that bold ideas can transform entire industries and inspired me to build one of my own.

I later returned to Europe as employee #10 at Lightyear, where I led the design of the world's most efficient EV powertrain, enabling a 450-mile range from a 60 kWh battery. We delivered the first production solar electric vehicle, grew to a $400M valuation, and were recognized as one of TIME's Best Inventions.

Those experiences revealed that batteries, not EVs, are the real bottleneck, and the supply of critical materials constrains the energy transition. I founded Universe Energy to make recycled batteries the primary source for the next 100 million batteries. We built robotics, computer vision, and AI to scale battery repurposing into scalable infrastructure, to avoid 6 gigatons of CO₂ emissions by 2050.

Looking back, I realized the hardest problems are not isolated technologies, they are systems problems. The same is true for intelligence. Just as abundant energy transformed civilization, intelligence can expand human potential, but only if it is human-centered, universally accessible, and governed responsibly, rather than concentrated in the hands of a few. The next frontier lies where materials, hardware, and AI converge to bring intelligence into the physical world.

Building a company came at a personal cost. Recovering from burnout through Vipassana meditation brought me back to the question that had first inspired my journey: understanding consciousness with the same curiosity I'd once applied to the physical world. I realized we're trying to engineer intelligence without first learning from the most sophisticated system we already have: the human brain.

Today, my focus is on the next frontier: brain-inspired computing. I believe the future of computing won't come from simply scaling today's architectures, but from building systems that compute more like the brain, a biological model of computation that combines parallel processing,  intuitive reasoning, and extraordinary energy efficiency. By combining neuromorphic computing into brain-computer interfaces, we can restore lost capabilities, transform neurological medicine, and deepen our understanding of consciousness itself.

I believe the defining technologies of this century will emerge where materials and hardware converge with biology and AI. For me, they're the next step toward answering the question I've carried since I was sixteen: What is consciousness, and how can technology help preserve, restore, and ultimately expand the human mind?

CONNECT

Want to learn more? Get in touch.

I'm open to collaborating with founders, researchers, and engineers in building frontier technologies that expand human potential.

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