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Swedish biotech company Curve has partnered with AI and digital twin specialist Digital Tvilling to develop an integrated biomanufacturing platform aimed at reducing the cost of precision fermentation for proteins, food ingredients and functional additives.

The collaboration will combine Curve’s precision fermentation and continuous data collection technologies with Digital Tvilling’s graph-based modelling, agentic AI and data infrastructure capabilities. The companies said the system is designed so that each fermentation run improves the efficiency and cost-effectiveness of future production cycles.

The partners aim to address one of the key challenges facing the precision fermentation sector: achieving commercially viable large-scale production. According to the companies, much of the industry still relies on manual expertise and fragmented operational knowledge that is rarely captured or shared effectively across systems.

Jacob Peterson, CEO and co-founder of Curve, said the partnership is focused on building “a new kind of biomanufacturing platform where every production run contributes to making the system smarter, more efficient and more scalable”.

Elsa Axby, pilot plant biotechnician and project manager at Curve, added that the initiative seeks to transform fragmented bioprocess data into “a secure, shared learning network” capable of continuously improving performance while reducing costs and operational complexity.

The collaboration will also involve the development of a bioprocess-specific graph data model designed to track the full production chain, from strain identity through to manufacturing outcomes. This will be linked to a live data pipeline integrating Curve’s sensor-equipped systems into Digital Tvilling’s software platform.

Filip Åsblom, CTO and co-founder of Digital Tvilling, said the partnership presents an opportunity to create an integrated platform with built-in “observability, traceability and adaptive intelligence” from the outset.

Initial development work is already underway, with the first integrated platform capabilities expected to be demonstrated in 2026.