What if fibers could sense, conduct, compute, and self-heal?

History

Manufacturing Has Always Defined What's Possible

We call it the Bronze Age or the Iron Age, as if the metals themselves changed the world. They didn't. It was the development of smelting, casting, and forging that reshaped societies, warfare, agriculture, and trade. The metals were always in the ground. Manufacturing is what made them matter.

Photolithography and clean-room fabrication gave us the information age. Silicon was abundant long before anyone built a transistor on it. Every civilizational leap follows the same pattern: a manufacturing breakthrough unlocks what a raw material can become.

We are building the manufacturing platform for the next epoch.

Approach

Nature Assembles Materials.

The highest-performance materials in biology, from spider silk to bone to abalone shell, don't derive their properties from exotic chemistry. They derive them from hierarchical architecture: precisely controlled assembly from the nanoscale to the macroscale, where structure at every length scale contributes to the final performance envelope.

This is what makes biological materials fundamentally programmable. Changing the assembly changes the outcome. We are building the tools to exploit this principle at the speed and cost of fiber manufacturing, tuning mechanical, electrical, optical, chemical, and magnetic properties on a millimeter-by-millimeter basis.

Vision

Fibers Everywhere

Fibers are one of the oldest technologies on the planet, and one of the most pervasive. In nature, they template the mineralization of bone and the formation of glass spicules in sponges. They make up the fundamental structural units of wood, muscle, tendon, and silk. Our own technological world mirrors this: textiles, cables, composites, optical networks. Civilization is, in a very literal sense, built on fibers.

We believe that making fibers programmable changes what all of these systems can become. Not incrementally, but categorically.

Platform

Protein Design & Synthesis

Rapidly accelerating capabilities in protein design and synthesis have turned engineered proteins into viable manufacturing feedstocks. We pair them with novel phase-change triggers for protein self-assembly, microfluidic dope preparation, and spinning techniques including contact pulling, electrospinning, and microfluidic spinning.

Critically, these processes scale out rather than scale up. Because the biophysics remain identical at every production unit, we can parallelize manufacturing without the regime changes that typically derail biomaterial scaling.

We predict and program material outcomes. We don't discover them by accident.

Strategy

Manufacturing That Leapfrogs Markets

New materials notoriously take 20 to 30 years to reach viable markets. But that timeline conflates two very different things: incremental innovations and platform innovations. Incremental innovations improve what exists. Platform innovations open entire new categories of application, and they can expand for decades. We are building a platform.

The conventional approach is linear: build the technology, then find the market. The problem is that by the time you look up, two decades have passed. Our approach is to scout applications and build partnerships in parallel with the manufacturing, not after it. We identify where the technology creates capabilities that customers don't yet know to ask for, and we map those opportunities before the platform is finished. Each application validates the manufacturing. Each validation de-risks the next. Pre-planned pivots replace reactive ones, and the timeline compresses from decades to years.

The most compelling markets are not the ones pulling for a solution today. They are the ones where first-principles analysis reveals an unmet need that existing technologies structurally cannot address: fibers that give a robotic hand the ability to perceive touch and strain, fibers that interface a human nervous system with a computer, advanced composites that transmit information or even compute. These are real applications with real demand, and each one sits on the same underlying platform.