We are proud to announce a new collaboration with BioRaptor, which uses data and AI to streamline and optimize bioprocesses. BioRaptor’s AI operating system will complement human intelligence in the collection and analysis of large data generated throughout our process development for cultivated meat production, strengthening our efforts to scale up as efficiently as possible.
Our initial focus at Aleph Farms is on growing high-quality products from cells sourced from cattle. When grown in cultivators that provide controlled, clean, and closed environments, these cells – the building blocks of beef – become key to growing Aleph Cuts, the first application of our cell-cultivation platform. The cultivators continuously feed the cells with nutrients and are monitored for various process parameters such as pH, dissolved oxygen and temperature. Understanding the relationship between the cell feed and the cell environment is key to defining the most optimal conditions for cell growth.
“There are massive amounts of data created during the development of state-of-the-art production bioprocesses, which, when extracted, interpreted, and collected into actionable insights, can boost productivity and reduce costs, time, and human error,” said Ori Zakin, CEO and Co-Founder of BioRaptor. “By simplifying bioprocess data management and suggesting optimal experimental design, we can enable smoother technological developments for the processes that the cellular agriculture industry has been pioneering.”
By integrating BioRaptor’s AI operating system into our process development, our R&D team can collect data as it is generated across various experiments, extrapolating both real-time and historic data concurrently. This integration allows our cross-experimental findings to be smoothly evaluated by our team and for our results to be configured on a single platform. The ability to review past and present data and make projections that enhance experiments makes the process scale-up more efficient and less cost-intensive.
“Our team’s scientific expertise in design of experiment (DoE) methodology and statistical analysis, complemented by BioRaptor’s AI-driven solution, will allow us to better understand the interactions between various process inputs and conditions,” said Dr. Sagit Shalel-Levanon, Senior Director of Process Development at Aleph Farms. “With the large data we generate, this capability could accelerate the development of robust and scalable processes for cultivated meat production.”
“Deploying BioRaptor’s most advanced AI and machine learning solution into our R&D will provide additional support for our team to optimize processes for cost and scalability, laying a solid groundwork for our mid- to large-scale production. Our approach is to build the right foundations as we grow and avoid massive capital expenditure before our process is fully ready for scale,” said Dr. Neta Lavon, CTO and Co-Founder of Aleph Farms. “We are investing time and resources to implement the most advanced tools into our differentiated technology platform and its various applications in food and beyond, thereby realizing the full potential of cellular agriculture in the burgeoning bioeconomy.”
