French cultivated meat producer Gourmey has partnered with DeepLife, a specialist in AI-driven cellular digital twin technology, to optimize cultivated meat production at scale.
As documented in a new paper, the companies have developed what is claimed to be the world’s first “avian digital twin”, a virtual replica of poultry cells engineered to optimize growth conditions, nutrient density, and flavor expression in cultivated meat. The collaboration combines DeepLife’s biology simulation engine with Gourmey’s proprietary cell cultivation platform.
The technology could be an essential tool in achieving cost parity for cultivated meat, enabling companies to fine-tune variables such as media composition and metabolic efficiency before conducting expensive wet lab experiments.
“This isn’t just a new biotech innovation — it’s the first step toward a food revolution,” said Jonathan Baptista, CEO of DeepLife. “And we are delighted to launch this partnership with Gourmey to create the AI-native leader in this emerging market.”
Accelerating R&D cycles
The collaboration is initially focused on cultivated duck and poultry products, and Gourmey’s team is now conducting virtual experiments to refine feed formulas, increase protein yield, and adjust sensory attributes such as umami intensity and fat structure. The results will inform commercial-scale production and support Gourmey’s regulatory filings, which are currently underway in Europe, the U.S., and Asia.
The news comes after a recent independent assessment by Arthur D. Little concluded that Gourmey’s production model is scalable and economically viable. The company has claimed to be the first in its category to receive a validation of this kind.
Last year, Gourmey also became the first company to apply for regulatory approval to sell cultivated meat in the EU.
“Integrating DeepLife’s digital twin technology into our platform allows us to model how avian cells respond to different culture conditions before entering the lab,” said Nicolas Morin-Forest, CEO of Gourmey. “This accelerates our R&D cycles, reduces reliance on costly trial-and-error, and ultimately sharpens our ability to optimize production economics at scale.”
