Cell4Food, a Portuguese company producing cultivated marine foods, has announced a partnership with Algocell, which has developed an AI-powered bioprocess modeling platform.
The partnership will integrate Cell4Food’s cell cultivation technology stack, BlueCell™, with Algocell’s AI-powered bioprocess modeling platform, Algocell P™. The aim is to accelerate Cell4Food’s process development and optimization.
By integrating Algocell’s Digital Twin technology, Cell4Food hopes to complete and optimize a full cell cultivation process, creating an optimal production framework. This framework will encompass the precise refinement of media compositions, feeding strategies, and gas regimes; it will also involve systematically navigating biological and operational limiting factors to ensure maximum process efficiency and yield.
“Our vision at Cell4Food is to create the infrastructure that allows sustainable food technologies to move from concept to reality,” said Vitor Verdelho Vieira, CEO of Cell4Food. “Building a sustainable new product line requires the right collaborations and access to technologies that were once out of reach.”
Enabling new levels of process performance and scale
Algocell’s technology has the potential to significantly reduce the amount of physical experimentation required to develop precise, scalable processes. The company’s platform generates Digital Twins that combine biological mechanistic models with machine learning to simulate thousands of scenarios in silico.
The new collaboration aims to reduce trial-and-error by 80%, shifting process development from the lab to computational modelling. It will build validated models from minimal experimental data, enabling faster iterations and more predictable decision-making. Furthermore, the process will de-risk the transition to commercial production by identifying the most profitable path to high titers and cell densities.
The news comes after Algocell secured $2.8 million in pre-seed funding last year to advance its platform.
“At Algocell, we believe that successfully navigating the ‘valley of death’ requires a foundation of robust and precise modeling,” said Omri Schanin, CEO of Algocell. “This infrastructure significantly reduces risk and enables levels of process performance and scale that would be difficult to achieve through physical experimentation alone.”
