Also known as: ReAgentAI, YonedaLabs
Foundation Model for Chemical Manufacturing
Company is active
Event Year: 2024
Company is active
Event Year: 2024
Yoneda Labs offers a software solution designed to empower chemists in optimizing chemical reactions. The platform assists in determining the most effective reaction parameters, including temperature, concentration, and catalyst selection, crucial for drug and material synthesis.
Driven by firsthand experience in chemical labs, the founders recognized the challenges of inefficiently determining reaction conditions. This led to experimentation with machine learning to accelerate the optimization process.
The Yoneda Labs team, comprised of three University of Cambridge alumni, leverages their expertise in Computer Science, Machine Learning, and Chemistry to develop advanced models for reaction optimization.
While machine learning has gained traction in various fields, existing chemical models often lack generalizability and demand significant programming proficiency. Yoneda Labs aims to bridge this gap by providing easily accessible models tailored for chemists in the laboratory setting.
By expediting the identification of optimal reaction conditions, pharmaceutical companies can accelerate drug testing. Furthermore, achieving superior optima leads to more cost-effective and environmentally sustainable manufacturing processes.
Yoneda Labs offers a software solution designed to empower chemists in optimizing chemical reactions. The platform assists in determining the most effective reaction parameters, including temperature, concentration, and catalyst selection, crucial for drug and material synthesis.
Driven by firsthand experience in chemical labs, the founders recognized the challenges of inefficiently determining reaction conditions. This led to experimentation with machine learning to accelerate the optimization process.
The Yoneda Labs team, comprised of three University of Cambridge alumni, leverages their expertise in Computer Science, Machine Learning, and Chemistry to develop advanced models for reaction optimization.
While machine learning has gained traction in various fields, existing chemical models often lack generalizability and demand significant programming proficiency. Yoneda Labs aims to bridge this gap by providing easily accessible models tailored for chemists in the laboratory setting.
By expediting the identification of optimal reaction conditions, pharmaceutical companies can accelerate drug testing. Furthermore, achieving superior optima leads to more cost-effective and environmentally sustainable manufacturing processes.
Total Raised: Unknown (Y Combinator backed)
Last Round: Winter 2024
Total Raised: Unknown (Y Combinator backed)
Last Round: Winter 2024
B2B
B2B
B2B
B2B
Team size: 3
Hiring: No
Team size: 3
Hiring: No