New York-based Pythag Tech has raised $4.25 million in seed funding to expand its biological dataset and machine learning platform, which helps food companies develop more cost-effective cultivated meat production processes.
The funding round was led by climate-focused early-stage investor Azolla Ventures, with participation from Endurance28 and other institutional investors.
The company plans to use the fresh capital to improve its technology and develop optimised production processes that can be licensed to food companies looking to scale cultivated meat manufacturing.
Pythag Tech Uses AI to Reduce Cultivated Meat Production Costs
Led by CEO Sami Nabulsi, Pythag Tech is a data and technology company focused on making cultivated meat production more efficient and commercially viable.
Cultivated meat is produced from animal cells rather than by raising and slaughtering animals. However, high production costs remain a major challenge for companies looking to bring these products to the wider market.
“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. We’re building Pythag to solve this problem, and we’re grateful to have the support of incredible investors who believe in the long-term potential of the category,” said Sami Nabulsi, CEO of Pythag Tech.
Pythag Tech uses artificial intelligence (AI) and machine learning to address this challenge. Its platform directs large-scale laboratory experiments to identify ways to improve three major cost drivers in cultivated meat production: growth media, cell line development and bioprocessing.
Each experiment adds new information to the company’s proprietary biological dataset. Its machine learning models use this data to identify improved production parameters and guide further experiments.
The process is designed to help companies lower manufacturing costs, shorten research and development timelines and develop production methods suitable for commercial-scale operations.
Business Model Focuses on Technology Licensing
Unlike cultivated meat manufacturers, Pythag Tech does not produce meat itself. Instead, it develops optimised production processes and licenses them to large food companies.
This approach allows the company to focus on improving the technology and biological data needed for cultivated meat manufacturing, while its customers can use the resulting processes to develop their own production capabilities.
Pythag first entered the sector in 2024 with the launch of Clean Meat Terminal, a market intelligence platform for the cellular agriculture industry.
“As societies become wealthier, they eat more meat: Global production per capita rose 55% from 1970 to 2020. Conventional methods struggle to keep up. Cultivated meat can provide a solution, but only if it provides functional equivalence at lower cost. Pythag is using AI to make cultivated meat production more efficient and scalable, helping deliver the future of food,” said Matthew Nordan, Co-Founder and General Partner of Azolla Ventures.
In August 2025, the company partnered with Australian cultivated lamb producer Magic Valley to integrate its platform into production. The partnership aimed to reduce production costs per kilogram and shorten research and development timelines.
Cultivated Meat Industry Sees Opportunities Amid Supply Challenges
Pythag Tech sees an opportunity to help food companies diversify their supply chains as the conventional meat industry faces challenges related to livestock supply and rising prices.
The company has pointed to declining US cattle numbers, screwworm-related restrictions affecting meat imports and record ground beef prices as factors highlighting the need for alternative protein production methods.
Cultivated meat could offer food companies another potential source of protein, although its commercial growth will depend on production costs, regulatory approvals, manufacturing capacity and consumer acceptance.
With the new funding, Pythag Tech plans to strengthen its biological dataset and machine learning capabilities to help food companies develop scalable cultivated meat production processes.
The investment will support its efforts to make cultivated meat production more efficient and improve the technology available to companies seeking commercial-scale manufacturing solutions.
