ISRAEL – Aleph Farms, an Israel-based company specializing in cellular agriculture and food technology, has entered into a strategic partnership with BioRaptor, a leader in optimizing biotech processes through data and AI technology.

The collaboration aims to enhance Aleph Farms’ production process and mitigate risks associated with scaling up to commercial-sized facilities.

Through this partnership, Aleph Farms will leverage BioRaptor’s advanced AI and machine learning solutions to streamline data collection and analysis for its cultivated meat production research and development.

BioRaptor’s innovative technology enables real-time and historical data collection, facilitating a more cost-effective and efficient scale-up process.

Integrating BioRaptor’s AI operating system into Aleph Farms’ process development is expected to advance scalability and reduce costs in the production of Aleph Cuts in preparation for large-scale production.

Dr. Neta Lavon, CTO and co-founder of Aleph Farms, emphasized the importance of deploying BioRaptor’s AI technology to optimize processes for cost and scalability.

The objective is to establish a solid foundation for mid- to large-scale production while minimizing capital expenditure until the process is fully prepared for scale.

“Our approach is to build the right foundations as we grow and avoid massive capital expenditure before our process is fully ready for scale,” says Dr. Lavon.

Earlier this year, Aleph Farms partnered with biotech firm BBGI and synbio researcher and manufacturer Fermbox Bio to establish Thailand’s first cultivated meat production plant.

Ori Zakin, CEO and co-founder of BioRaptor, highlighted the significant potential of leveraging data analytics to boost productivity and reduce costs in bioprocess development.

Through simplified data management and optimal experimental design, BioRaptor aims to facilitate smoother technological advancements in cellular agriculture.

“Our partnership with Aleph Farms will enable us to extract actionable insights from vast amounts of data generated during the development of production bioprocesses,” says Zakin.

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