Johnson Matthey taps Kebotix鈥檚 AI capabilities to enhance digital strategy
Catalytic converter optimisation project kicks off partnership.
03 August 2021
Johnson Matthey (JM), a global leader in sustainable technologies and Kebotix, a U.S.-based technology platform company for new chemicals and materials, today announced an agreement to explore developing the next generation of coatings for catalytic converters.
The project will support JM鈥檚 digital strategy, and help to bring the London-headquartered company to the forefront of digital R&D. Kebotix鈥檚 lab-of-the-future AI capabilities has the potential to enhance JM鈥檚 digital transformation in the chemical industry.
The collaboration will seek to discover innovative methods to increase the efficiency of experiments leading to the optimisation of catalytic converter coating formulations. Reducing the number of experiments is expected to lead to faster improvements. Scientists can use the predictions as a virtual catalyst design lab and validate their design choices to avoid spending unnecessary experimental resources on suboptimal designs. The project will employ Kebotix鈥檚 ChemOSTM Pro technology, developing machine learning models via the company鈥檚 proprietary active learning optimisation algorithms.
The new partnership will build on JM鈥檚 commitment to deliver science-led solutions that reduce emissions from industry and vehicles. JM鈥檚 technologies have averted over 40 tonnes of pollutants from entering the air every minute for the past half-century.
鈥淛oining forces with Kebotix strengthens JM鈥檚 long-standing commitment to create a cleaner and healthier world developing cost competitive next generation catalyst solutions.鈥� said Chris Bennett, JM鈥檚 Technology Director. 鈥淲e hope this opportunity to advance catalytic design by reducing greenhouse gases and other environmentally damaging pollutants leads to other opportunities to tap into Kebotix鈥檚 AI, ChemOS Pro and entire innovative portfolio.鈥�
Kebotix, headquartered in Cambridge, Mass., also subscribes to the principle that controlling emissions at the source is an essential part of improving air quality.
鈥淥ur tools will learn from Johnson Matthey鈥檚 institutional data and use the lessons learned to predict better-performing catalysts,鈥� said Christoph Kreisbeck, Kebotix chief commercial officer. 鈥淜ebotix鈥檚 AI will augment JM鈥檚 current approach by providing new ideas for better designs that will enable JM scientists to develop higher-performing products.鈥�