bitBiome has signed an agreement to create a bio-synthetic manufacturing process for a “high-value” food-grade ingredient used in the flavour and fragrance industry.
The company has not disclosed the name of the commercial partner it signed the agreement with.
The collaboration is focused on shifting production of the ingredient to a scalable, bio-based platform designed for food-grade manufacturing.
Under the terms of the arrangement, the Japanese biotechnology company will be responsible for developing and implementing the bio-synthetic production process.
The company will also act as the manufacturing and supply partner once the product moves into commercial production.
During the early phase of commercialisation, demand for the ingredient is expected to reach double-digit metric tonnes annually.
Higher volumes are anticipated over time as the bio-manufactured supply platform expands.
The programme is intended to contribute to the development of scalable and environmentally responsible production technologies within the biotechnology sector.
bitBiome said it will utilise its integrated capabilities spanning enzyme discovery, pathway and strain engineering, and scaled fermentation to support the creation of next-generation biomanufacturing systems for industrial-scale output.
bitBiome CEO Yuji Suzuki said: “This collaboration demonstrates the power of combining large-scale genomic intelligence with bioprocess engineering. By leveraging our proprietary microbial genome database and discovery platform, together with proprietary AI-powered genome-scale bioengineering, we are enabling a commercially viable transition from conventional production methods to a bio-based supply chain.
“To accelerate commercial growth, bitBiome is focusing on high-value products that meet the growing market demands for sustainable, common-sense products with immediate revenue potential together with our partners in various geographies.”
bitBiome develops bio-based products using proprietary microbial genome analysis, combining bioinformatics, machine learning and AI to support enzyme discovery, strain engineering and biomanufacturing.
