• Kemira and CuspAI use generative AI to design novel materials that target PFAS removal at trace concentrations
• Discovery process compressed from years to six months
• Project now advancing to the next phase of development and testing

Kemira, a global leader in sustainable chemical solutions for water-intensive industries, and CuspAI, the frontier AI materials science company, today announced that they have used generative AI to design new materials targeting the removal of PFAS, so-called "forever chemicals," from drinking and process water at trace concentrations, using chemistry that is stable, sustainable, and manufacturable.

The materials discovery project explored a design space of approximately 300 trillion possible material structures and delivered over 5000 novel material designs with full property data for three priority PFAS molecules: GenX, PFBS, and PFOS. This was narrowed to approximately 20      selected priority candidates now advancing to further development. The program reached this stage in six months.     

This is the first commercial partnership to apply generative AI end-to-end to the design of new materials for PFAS remediation. While academic groups and technology companies have explored AI for materials screening, no previous collaboration has taken a generative approach, designing entirely new structures from scratch against industrial performance criteria, and delivered candidates at this scale and speed.

"Kemira challenged us with finding new solutions to one of the most pressing environmental problems of our time, and in six months our partnership delivered," said Dr Chad Edwards, CEO and Co-Founder of CuspAI. "The collaboration is now advancing to its next phase, with further      projects already being scoped. We built CuspAI to compress discovery timelines on problems that matter, and we are delighted to be creating real impact and value this early in our journey."

"This project combined Kemira's deep expertise in water treatment chemistry with CuspAI's capabilities, and the results speak for themselves," said Sampo Lahtinen, Executive Vice President, Research and Innovation at Kemira. "Our teams worked closely together to ensure that every material candidate was evaluated against real industrial requirements. That rigor is what gives us confidence in taking these candidates forward."

"This partnership has shown us what AI-driven materials design looks like when it meets real industrial requirements," said Antti Salminen, President and CEO of Kemira. "We set a demanding brief: design new materials that can remove forever chemicals from water at trace concentrations, using chemistry that is stable, sustainable, and manufacturable, and speeding up the discovery phase of our discovery process. We now have a credible path toward a next-generation PFAS remediation product, and we look forward to further collaboration with CuspAI team."

Why this matters

PFAS (per- and polyfluoroalkyl substances) are persistent synthetic chemicals found in drinking water worldwide. They are subject to tightening regulation, including US EPA maximum contaminant limits in parts per trillion scale (announced 2024) and the EU Drinking Water Directive. Today's leading remediation technology is granular activated carbon (GAC). Kemira, which is already active in the activated carbon regeneration market, initiated this collaboration to explore whether AI-driven design could open a path to more selective and even longer-lasting alternatives.

What was delivered

Kemira defined the brief: discovery phase project of new materials that can remove specific PFAS molecules from water at sub-parts-per-billion concentrations, using chemistry that is water-stable, environmentally compatible, synthesizable, and cost-effective. CuspAI's platform designed entirely new metal-organic frameworks (MOFs) from scratch, searching approximately 300 trillion possible structures and delivering over 5000 novel potential material designs with property data across all three target molecules, narrowed to selected  priority candidates. The speed and scale of this discovery phase was unprecedented: record amount of structures was evaluated and it took 6 months to reach these results.

The project also uncovered new functional group chemistries with potential for development into broader adsorption products. The project is now moving into its next phase of further development and testing, and further programs across additional material classes are being scoped under the partnership's framework agreement.

Notes to editors:

PFAS (per- and polyfluoroalkyl substances) are a group of persistent synthetic chemicals that have been used in various industries since the 1940s. They are called "forever chemicals" because they do not break down in the environment and can accumulate in the human body over time.

Metal-organic frameworks (MOFs) are a class of nano-porous crystalline materials whose structure and chemistry can be precisely tuned for specific filtration and adsorption applications. The design space for possible MOFs is vast, estimated at hundreds of trillions of candidate structures, making AI-driven approaches essential for navigating it efficiently.

For more information, please contact:

Kemira Oyj

Greg Morrison, Director of Communications
Tel. +31 621 628 423
greg.morrison@kemira.com

Kiira Fröberg, VP, Investor Relations
Tel. +358 407 604 258
kiira.froberg@kemira.com

CuspAI
communications@cusp.ai

About Kemira

Kemira is a global leader in sustainable chemistry for water-intensive industries. We operate globally and serve a wide range of customers including municipal and industrial water treatment companies and the fiber industry. Our solutions and services help secure clean water for millions of people every day and support our customers in advancing circularity and responsible resource use throughout their value chains. In 2025, Kemira's revenue totaled EUR 2.8 billion, and we employed approximately 4,900 people. Kemira's shares are listed on Nasdaq Helsinki (symbol: KEMIRA) www.kemira.com

About CuspAI

CuspAI is a frontier AI company founded in 2024 that specialises in using generative AI and molecular simulation to accelerate the discovery of breakthrough materials for industrial applications across semiconductors, energy, and climate. Founded by Professor Max Welling and Dr Chad Edwards, the company's advisors include Martin van den Brink (former ASML President/CTO), Geoffrey Hinton, and Yann LeCun. CuspAI has raised over $200M in Series A and Seed funding, with investors including NEA, Temasek, NVIDIA, Samsung, and Hyundai. Ranked the #1 most promising AI startup by Sifted (a Financial Times publication). www.cusp.ai