We use interactive AI models that can learn, reason, and improve over time—just like a scientist. These models help generate, evaluate, and refine ideas for what materials to create next.
Our robotic lab systems carry out physical experiments with minimal human input. These labs are guided by intelligent scheduling and real-time learning, making every test smarter than the last.
All discoveries and experiments are managed through the cloud—enabling remote access and efficient coordination, no matter where the lab or researchers are located.
New materials shape the future: from green energy to medical devices, they are the building blocks of every technology.
We make the discovery process faster, cheaper, and smarter—so ideas can become reality at the speed of thought.
No guesswork, no waste—just intelligent exploration.
At CataX, we design materials from the ground up using AI, simulations, and automated labs. Below are some of the materials we’ve developed or improved through our platform:
We develop new electrocatalyst materials that speed up hydrogen production. Using robotic experiments and AI, we explore and refine catalyst compositions to make them more efficient and longer-lasting—helping to enable cleaner energy technologies.
We use advanced algorithms to design new adhesive materials with stronger bonds, better flexibility, or faster curing times. Our system finds the best mix of ingredients to meet multiple performance targets—all within days, not months.
By analyzing billions of atomic-level combinations, our AI-guided process discovers improved catalysts used in chemical production. These materials show higher activity and selectivity—meaning faster reactions with fewer byproducts.
We combine real-world manufacturing data with material modeling to understand how small changes in composition affect durability and performance. This helps us design materials used in engines, coatings, and other parts with higher reliability.