Building the Next Generation of AI-Powered Hardware

We’re excited to share that webAI is partnering with Divergent Technologies to build a new generation of AI-powered hardware—starting with robotics, logistics systems, and vehicles built for aerospace, automotive, and defense.

This isn’t just a handshake. It’s a shared vision—and a product roadmap.

By combining Divergent’s fully digital manufacturing system with webAI’s distributed AI infrastructure, we’re laying the foundation for intelligent physical systems that are faster, smarter, and dramatically more efficient than what’s possible today.

“From the start, Divergent’s mission has been to transform the built world with a fully digital manufacturing system,” said Lukas Czinger, Co-Founder, President, and CEO of Divergent. “Partnering with webAI allows us to supercharge that mission. The combination of Divergent’s adaptive digital manufacturing capabilities with webAI’s intelligence will create next-generation products at scale across the world’s largest industries.”

Why this matters

Divergent’s platform (DAPS™) is unlike anything else in manufacturing: a software-defined, tool-less system that uses generative design, 3D printing, and robotic assembly to produce complex structures at speed. It’s already being used by companies like McLaren and Aston Martin—and now it’s the canvas for something even more powerful.

With webAI embedded directly into Divergent-built products, we can distribute intelligence across physical systems—giving them the ability to perceive, reason, and adapt in real time, right at the edge.

“This collaboration marks a pivotal advancement for AI-powered hardware,” said David Stout, Founder and CEO of webAI. “With webAI integrated into Divergent’s platform, we are changing not just the manufacturing process but fundamentally how advanced hardware systems operate—making them smarter, faster, and inherently secure.”

What makes it possible

At the core of this partnership is webFrame, our private AI network that runs large models across connected devices—without ever touching the cloud. That’s powered by Entropy-Weighted Quantization (EWQ), a novel compression method that reduces model size by up to 30% while retaining over 99% accuracy. It allows frontier models like DeepSeek, Llama, Qwen, and others to run directly on-device, with no compromise on performance.

Pair that with Divergent’s approach to hardware—digitally designed, additively manufactured, and robotically assembled—and you get something new: intelligent systems that are co-designed from the ground up, where the AI and the hardware evolve together.

What’s next

This partnership is exclusive and built to go deep. We’ll be co-developing and co-manufacturing a new suite of embedded AI products. We’re not ready to reveal the first one just yet—but what’s coming will redefine what’s possible in the physical world.

What we can say now: this marks a turning point in how advanced systems are built and how intelligence is deployed. It’s no longer about smarter dashboards or faster cloud calls. It’s about embedding intelligence into the product itself, from day one.

Stay tuned.

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