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SunriserNanotech

02Research

We point one engine at four hard problems.

Each direction below is a place we are pointing the same engine, chosen because a better material is the bottleneck and the buyers are motivated. None of them is a product we sell today. Each one is a direction we are building toward as the evidence comes in, starting with PFAS.

01 · Thrust

PFAS Destruction & Removal

We make forever chemicals temporary.

Engineered nanomaterials that capture and break down PFAS, the persistent forever chemicals now regulated down to parts per trillion in drinking water. This is our flagship, an urgent and regulation-driven problem where a better material is the only thing standing in the way.

Regulators have moved. With drinking-water limits for some PFAS now set at single-digit parts per trillion, utilities and industrial dischargers need materials that capture these compounds and, ideally, destroy them rather than just moving the problem to a landfill.

We are using the discovery engine to search for sorbent and catalytic nanomaterials tuned to bind and break the strongest PFAS bonds, and we back every candidate with measured, reproducible performance instead of a marketing claim.

02 · Thrust

Critical-Mineral Recovery

We pull value out of brine and waste.

Selective materials that pull lithium and other critical minerals out of brines and waste streams. They turn a disposal cost into a product, on a supply chain the world is racing to bring closer to home.

Direct lithium extraction and resource recovery hinge on selective materials that grab the target ion and ignore the rest. It is a materials-discovery problem the same engine is built to attack.

We treat this as the next step the platform earns after PFAS. It uses the same loop and the same lab, with a larger and better-funded market to grow into rather than start in.

03 · Thrust

Industrial Water & Separations

We pull clean water and useful material from hard streams.

Membranes and sorbents for the high-value industrial separations that conventional treatment handles poorly. They recover clean water and useful material from streams that others write off.

Many industrial streams are too contaminated or too concentrated for off-the-shelf reverse osmosis. Purpose-built nanomaterials change what is separable and what is recoverable.

These are concrete pilots that businesses will fund, and they share the engine and the lab with our flagship. The revenue they bring in keeps building out the dataset.

04 · Thrust

The Frontier

This is where the engine goes next.

Catalysts for clean energy, advanced sensing, and more sustainable nanomaterials. These are the broader set of materials problems the same discovery loop can take on once it has proven itself on the first ones.

The thing worth defending is not any single material. It is the closed loop and the proprietary dataset it produces, and both carry across materials problems far beyond water.

We list these as directions we intend to explore, and not as promises. The platform will reach them one at a time, and only when the evidence is there.

The Sunriser Stack

The loop every thrust runs on.

Our engine is a closed loop. AI proposes the nanostructures worth making, the lab builds and measures them, and every result trains the next round of predictions. What makes the company durable is the speed and learning we build around this loop. No single material does that on its own.

01

Predict

AI and inverse-design models start from the property we need, such as a PFAS-binding site or a selective channel, and propose the candidate nanostructures most worth making. That narrows a vast search before a single sample exists.

02

Make

We fabricate and synthesize the top candidates in a real materials lab, with the process discipline to make the same material twice.

03

Measure & learn

Characterization verifies what was actually built and how well it works, and every measurement feeds back to sharpen the model, so each cycle is faster and smarter than the last.

Questions

Straight answers.

What does Sunriser Nanotech actually do?
We are building an AI-driven materials-discovery engine. It is a closed loop where AI proposes candidate nanomaterials, our lab fabricates and measures them, and every result trains the next round of predictions. We are pointing it first at destroying and removing PFAS forever chemicals from water.
Why PFAS first?
Because it is urgent and the buyers are motivated. Regulators have set drinking-water limits for some PFAS down at parts per trillion, so utilities and industrial dischargers have to act, and the thing holding them back is a better material to capture and break these compounds. It also lines up directly with our team's strengths in membranes, electrochemistry, and AI.
Do you have a product yet?
Not yet, and we are deliberate about saying so. We are still pre-product, building the discovery engine, the first PFAS materials, and the lab and pilots around them. This site describes where we are aiming and the thinking behind it, and it does not claim shipped results.
What makes it defensible?
What is hard to copy is the engine, more than any one material. The closed loop of AI prediction and lab work, plus the proprietary experimental dataset it builds, only gets stronger over time. Anyone can copy a material, but the system that keeps producing better ones is far harder to replicate.
Why Waterloo, and how can I get involved?
Waterloo is one of the densest deep-tech clusters in the world, anchored by the University of Waterloo and one of the strongest startup-incubator ecosystems in the country. Join the signal list for real updates. Investors and pilot partners can reach us through the contact page, and builders should look at careers.

The signal list

Watch the work develop.

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