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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

Short-Chain PFAS Capture

We catch what everything else misses.

Engineered sorbent materials that selectively capture the short and ultra-short-chain PFAS that granular carbon and today's best filters break through on. This is our flagship, an urgent, regulation-driven problem where the smallest, most mobile forever chemicals are the ones no material catches well.

The short chains are where filters fail. As the molecule shrinks it loses the grip that carbon relies on, so utilities and industrial dischargers watch these compounds slip through their beds first. We design the charged, size-matched sites that catch them selectively, even in real water full of competing salts.

We capture and concentrate; a destruction partner finishes the job. We back every candidate with measured performance in realistic water, and the proprietary data the discovery loop generates is the moat, not any single material.

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 capturing the short and ultra-short-chain PFAS that today's filters miss, and concentrating them so a destruction partner can finish the job.
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.

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