Combining emulsification membranes with AI-driven automated experimentation, this solution enables efficient, scalable probiotic beverage formulations while maintaining organoleptic properties. It leverages ML to optimize formulation design and encapsulation performance.
This innovative solution leverages artificial intelligence and robotics to create scalable probiotic beverage formulations. By combining emulsification membranes (EM) with machine learning (ML)-powered automated experimentation, the approach efficiently designs formulations that maintain the stability and viability of probiotics without compromising organoleptic qualities. This method uses generally regarded as safe ingredients and is scalable, employing technology already utilized in industrial foodstuffs.
Key features:
This technology is currently at TRL 3, indicating that it has been experimentally demonstrated and is in the early stages of development. Future validation includes encapsulating probiotics in submicron particles and optimizing the formulation process over the next 12 months.
The University of Toronto is a comprehensive public research university with three campuses in the Toronto region and a globally scaled research enterprise. Its downtown footprint is embedded within a major academic health network and an adjacent innovation district, enabling co-located labs, clinical trials, and rapid testing with end users. Companies connect through co-op and long-duration internships, sponsored research, and access to shared core facilities and prototyping resources. Research is supported by Canada’s Tri‑Agency (NSERC, CIHR, SSHRC) and the Canada Foundation for Innovation, alongside provincial programs and industry partnerships. A dedicated technology transfer office provides IP management, licensing, and startup support through a coordinated entrepreneurship network.