DeepMatter

ChemAI, formerly known as DeepMatter Group, is a UK-based private technology company focused on the digitization of chemistry. The company develops and commercializes a suite of AI-driven tools aimed at enhancing the efficiency and cost-effectiveness of chemical research, discovery, and manufacturing. The firm’s core offering is its SmartChemistry® platform, which integrates proprietary chemical reaction data with cloud technology, machine learning, and AI to help scientists capture, access, and analyze the large volumes of data generated during chemical reactions. This platform serves clients across the pharmaceutical, biotech, agrochemical, materials, fine chemicals, and cosmetics industries, including contract research organizations (CROs) and scientific publishers.

Originally founded as Cronin Group in 2006 and spun out of the University of Glasgow, the company initially focused on commercializing a technology platform for the research and development of proprietary chemistry. Over the years, it evolved, rebranding to DeepMatter Group and later to ChemAI to better reflect its focus on artificial intelligence. A significant milestone in its history was the decision in late 2022 to delist from the London Stock Exchange's AIM market and re-register as a private company, a move intended to provide greater opportunities for raising capital. The company has grown through strategic acquisitions, including German informatics firm InfoChem and the AI platform ChemIntelligence in 2022, which expanded its capabilities in retrosynthesis, AI, and formulation. The company's revenue model is based on licensing its software and platforms to clients, with a recurring business model evidenced by notable renewals.

The SmartChemistry® platform offers several key features. Its DigitalGlassware™ technology enables the real-time recording and sharing of experimental data via the cloud, aiming to improve reproducibility. The platform also includes tools for synthesis planning (SmartChemistry® Retrosynthesis), reaction optimization, and predictive modeling, which can forecast reaction yields with high accuracy. By integrating with automated lab systems, it facilitates closed-loop experimentation, moving beyond simple automation to intelligent chemical exploration. The AI is underpinned by a substantial and growing database of over 23 million chemical reactions. Mark Warne, who has an extensive background in the life sciences sector and a PhD in Computational Chemistry, serves as the CEO.

Keywords: digital chemistry, chemical data, AI in chemistry, reaction optimization, synthesis planning, cheminformatics, laboratory automation, predictive modeling, formulation science, materials discovery, pharmaceutical R&D, drug discovery, chemical manufacturing, SmartChemistry, retrosynthesis, machine learning in chemistry, chemical database, reaction data analysis, process chemistry, computational chemistry