Imperagen raises £5 million to use quantum physics, AI on enzyme engineering

Drug Discovery & Molecular Design
May 21, 2026
Flat illustration of an enzyme structure with quantum wave representation

Imperagen, a biotech startup focused on enzyme engineering, has successfully secured £5 million ($6.7 million) in seed funding, primarily from PXN Ventures, along with contributions from IQ Capital and Northern Gritstone. Established in 2021 by scientists from the Manchester Institute of Biotechnology, the company aims to revolutionize enzyme engineering by leveraging advanced technologies.

To enhance the enzyme engineering process, Imperagen is adopting a novel approach that integrates quantum physics simulations with artificial intelligence. This method allows the company to predict enzyme behavior through computational modeling, significantly speeding up the traditionally slow and costly trial-and-error process. The innovative framework involves using AI models trained on specific enzyme challenges, supported by automated systems that generate experimental data for continuous model improvement.

Enzymes play a crucial role in various industries, particularly pharmaceuticals, as they are vital for drug development. By streamlining enzyme engineering, Imperagen aims to accelerate drug discovery and enhance efficiency in sectors such as food, biofuels, and agriculture. The broader implications of their technology extend to sustainability, with potential benefits for industrial production practices.

With Guy Levy-Yurista stepping in as CEO, Imperagen is positioned to further develop its technologies and expand its market reach. Levy-Yurista, who brings expertise in AI and life sciences, aims to enhance the reliability and commercial accessibility of engineered enzymes. The company plans to utilize the new funding to bolster its R&D efforts, expand its lab capabilities, and strengthen its market strategy. Ultimately, Imperagen's goal is to enable industries to produce safer and more sustainable products, balancing ecological benefits with commercial viability.

Read the original article: TechCrunch