Curve and Digital Tvilling build AI biomanufacturing platform to lower precision fermentation costs

Curve and Digital Tvilling have launched a Swedish AI-driven biomanufacturing project aimed at reducing the cost of precision fermentation for proteins, food ingredients and functional additives, with the first integrated platform capabilities expected to be demonstrated in 2026.

• Curve and Digital Tvilling announced a partnership to develop an integrated AI biomanufacturing platform.
• The system aimed to make each fermentation run improve future production efficiency.
• Initial platform capabilities were expected to be demonstrated in 2026.

The collaboration brings together Curve, a Swedish biotech company developing next-generation bioproduction systems, and Digital Tvilling AB, an AI and digital twin specialist. The companies aim to address one of the main barriers facing precision fermentation: the cost of scaling production for low-margin food and ingredient applications.

Precision fermentation has gained traction as a route to producing proteins, novel foods and functional ingredients without relying on conventional agriculture or animal farming. But while the technology has advanced rapidly, commercial production remains expensive, particularly when companies need to move from small-scale development to reliable, large-scale manufacturing.

According to the partners, current bioproduction still depends heavily on manual expertise built through years of process knowledge. Much of that expertise is not captured at scale, making it difficult to create the repeatable, data-rich systems needed for industrial production.

The companies identified bioprocess data as one of the most valuable but underused assets in the sector. Generating that data is expensive, but it often remains siloed across different systems and stored in incompatible formats. Curve and Digital Tvilling are now building infrastructure designed to unlock that information and allow it to compound over time.

“Together, we are building a new kind of biomanufacturing platform where every production run contributes to making the system smarter, more efficient, and more scalable,” said Jacob Peterson, CEO & Co-founder of Curve.

“By turning fragmented bioprocess data into a secure, shared learning network, we can continuously improve performance across deployments while reducing cost and complexity,” said Elsa Axby, Pilot Plant Biotechnician & Project Manager at Curve.

Curve will contribute its precision fermentation bioproduction system and continuous data collection capabilities, while Digital Tvilling will provide graph-based modeling, agentic AI and cross-organizational data infrastructure. The companies are developing a platform in which hardware and software evolve together, with the aim of making production more cost-efficient with every batch, customer and deployment.

“Many of our clients operate in environments where systems and operational processes have evolved over decades. Here, we have the opportunity to build a new kind of integrated solution from the ground up, where observability, traceability, and adaptive intelligence are native capabilities from day one,” said Filip Åsblom, CTO and Co-Founder of Digital Tvilling AB.

The collaboration will focus on developing a bioprocess-specific graph data model that captures the full chain from strain identity to production outcomes. It will also include a live data pipeline connecting Curve’s sensor-equipped systems into the software platform.

Initial development work has already begun. The first integrated version of the platform is expected to be demonstrated in 2026.