Next Global Hot Thing - in AI

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Cradle

Short description

Proteins are nature's machines, manipulating molecules to create new substances. While famously fermenting sugar into alcohol, they can potentially manufacture almost anything. Proteins can produce and recycle nearly 70% of our physical goods, from medicines and chemicals to food ingredients and fabrics. This protein-based production is generally more efficient and sustainable than traditional methods relying on factories, farms, and fossil fuels. Designing proteins is challenging, traditionally involving time-consuming and expensive trial-and-error processes. Cradle's AI breakthroughs aim to simplify protein design, reducing experimental rounds by up to 75%, saving time and money while increasing success rates. Cradle's platform helps users optimize existing proteins with promising qualities but needing improvements in specific characteristics. Users upload protein sequences and metadata to the platform. The AI generates diverse variations, selects promising candidates for lab testing, and learns from results to generate improved sequences for the next round. This cycle continues until targets are met. By leveraging AI that learns from each experimental round, Cradle streamlines protein design. Their user-friendly web application makes this technology accessible, potentially revolutionizing industries by enabling more efficient and sustainable production methods for various products.

Jury Statement

Cradle was nominated for ground-breaking work in the field of protein design technology. Proteins are nature's machines that manipulate molecules to create new substances.  However, designing proteins is a challenge as it traditionally requires time-consuming and expensive trial-and-error processes. Cradle's AI developments aim to simplify protein design and reduce the number of experimental rounds by up to 75%. This saves time and money while increasing success rates.
Cradle's platform helps users to optimise existing proteins with promising properties that need improvements in certain traits. Users upload protein sequences and metadata to the platform. The AI generates diverse variations, selects promising candidates for lab testing and learns from the results to generate improved sequences for the next round. This cycle continues until the targets are met. Cradle's user-friendly web application makes this technology accessible and revolutionises entire industries by enabling more efficient and sustainable production methods for various products. Cradle applies the latest findings from LLM (GPT technology) research to better understand the genetic code and modify it like a language so that proteins can be synthesised in a modular fashion.