Shiru and GreenLab Partner to Scale Sustainable Protein Production

Mar 12, 2025
Shiru and GreenLab have announced a strategic partnership to commercialize novel food proteins using a corn-based expression system, enhancing sustainable protein production.

Shiru and GreenLab have announced a strategic partnership to commercialize novel food proteins using GreenLab's proprietary corn expression system, announced in a press release. This collaboration aims to expand Shiru's manufacturing capabilities by integrating its AI-driven protein discovery with GreenLab's high-yield, scalable manufacturing platform.

The partnership focuses on creating sustainable alternatives to petroleum-based and chemically derived ingredients, initially targeting consumer packaged goods (CPG). By leveraging GreenLab's corn-based expression platform, the collaboration seeks to produce high-performance food proteins that are both scalable and commercially viable.

Key benefits of this partnership include faster ingredient innovation, scalable protein production, and cost-effective solutions. The corn-based system allows for large-scale expansion with minimal infrastructure investment, reducing waste and maximizing efficiency. This approach also enables a wider range of food applications, from novel sweeteners to clean-label additives, supporting CPG manufacturers in prioritizing natural and sustainable products.

The partnership will initially focus on optimizing protein expression in GreenLab's corn system for Shiru's high-value functional proteins, with plans to scale production to meet commercial demand. Both companies will collaborate with food and beverage partners to accelerate the adoption of these innovative proteins in the market.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Life AI Weekly

Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.