01Mission
We are building the company that engineers matter on purpose.
We are on a mission to get forever chemicals out of the world's water for good. We use an AI discovery engine and a real materials lab to invent the materials that finally break them down.
Why now
The chemicals that never break down are still waiting for the material that breaks them.
PFAS are everywhere. They are in the blood of nearly everyone and the water of millions, they are harmful at vanishingly small amounts, and they do not break down on their own. Regulators have finally set hard limits, so utilities and industry now have to remove them. The thing standing in the way is a material good enough to capture and destroy them at a price that works.
Finding that material the old way is slow. You mix something, measure it, and try again, for years. We think the real bottleneck is the speed of discovery, not the amount of effort.
Two things just changed. AI can now predict which nanostructures are worth making, which narrows an enormous search before anything gets built. And a small team can pair that prediction with real fabrication and characterization to check it, so the gap between an idea and a proven material closes in days instead of years. Sunriser is built on that loop, and we are pointing it at PFAS first.
The arc
The engine is the asset. Each application is something it earns.
Most deep-tech companies die by betting everything on one device before they own a capability. We do it the other way around. First we build the closed loop that lets us predict, fabricate, and verify engineered nanomaterials quickly and repeatably. That loop, and the proprietary data it generates, is the asset. Specific products are things it earns, one at a time, as the evidence comes in.
We start that arc with PFAS in water, the most urgent and most regulation-driven place where a better material is the bottleneck. Every application after the first one borrows the same engine, and that build-up is the whole point.
Operating principles
How we work, written down.
The engine is the moat.
A single material can be copied. A closed discovery loop, and the dataset it generates, only get stronger over time. We invest in the loop first, because every application borrows from it.
We lead with evidence.
Frontier science attracts hype. We hold ourselves to what we can measure and repeat, and we say plainly where we are aiming and what we have actually proven.
We go after the urgent problems first.
We start where buyers are most motivated and regulation is already forcing action, which today means PFAS in water, so the science meets a market early instead of a decade from now.
We move at software speed and prove it in the lab.
We move at software pace on the predictions and hold every result to what the lab can actually verify. It takes both halves, and our team is built to do both.
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