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Cultivated meat technology company Pythag Tech has raised $4.25 million in seed funding to expand its biological dataset and machine learning platform for the development of scalable cultivated meat production processes.

The funding round was led by Azolla Ventures, with participation from Endurance28 and other institutional investors.

Pythag Tech said the investment will support the expansion of its biological dataset and AI platform, which is designed to help food companies optimise cultivated meat production and reduce the cost and complexity of research and development (R&D).

The company’s technology uses AI models to direct large-scale laboratory experiments across three key cost drivers in cultivated meat production: growth media, cell line development and bioprocessing.

According to Pythag Tech, each experiment contributes to its proprietary biological dataset, allowing its machine learning models to identify production parameters that could improve efficiency and reduce costs.

The company intends to license the resulting production processes and insights to meat producers looking to develop cultivated meat at commercial scale.

Sami Nabulsi, CEO of Pythag Tech, said: “The next generation of cultivated meat will be defined by how efficiently we can turn scientific experimentation into better production models.

“The fundamental case for cultivated meat has never been stronger, but there’s work to be done to make R&D more cost-effective and scalable.”

Pythag Tech does not produce cultivated meat itself. Instead, it provides data and technology to food companies seeking to overcome technical and economic barriers to commercialisation.

The cultivated meat sector has made scientific and regulatory progress in recent years, but high production costs and complex processes remain significant barriers to widespread commercialisation.

Pythag Tech said its approach is intended to create an “intelligence layer” for cultivated meat production by combining AI-driven experimentation with biological data.

The company believes greater efficiency in R&D could help producers achieve the functional equivalence and cost reductions needed for cultivated meat to compete with conventional animal protein.

Matthew Nordan, co-founder and general partner of Azolla Ventures, said cultivated meat could help address growing global demand for animal protein, but that it must be produced at a lower cost to conventional meat.

“Pythag is using AI to make cultivated meat production more efficient and scalable, helping deliver the future of food,” he said.

Cultivated meat is produced from animal cells rather than through the raising and slaughtering of livestock. Proponents argue that the technology could diversify protein supply chains while reducing land and water requirements and emissions associated with conventional livestock production.

Pythag Tech said the need for alternative approaches to meat production is becoming increasingly important as global demand for animal protein grows and conventional supply chains face challenges.

The company’s latest funding will be used to further develop its AI and biological data capabilities, with the goal of providing cultivated meat producers with actionable insights for commercial-scale production.