Biotech startup Cradle exits stealth, raises $5.5M to design protein-machines and cell-factories with AI

Cradle’s design platform makes it easy for everyone to start building products with biology instead of oil or animals, leveraging generative machine learning models to transform how biologists design and optimize proteins

Synthetic biology can generate environmentally friendly alternatives to 60% of everything humans consume - including food, clothing, materials, medicines and chemicals

Cradle emerges from stealth with seed funding round led by Index Ventures, Kindred Capital and high profile angel investors

Synthetic biology involves adapting the genes of microorganisms such as bacteria and fungi to create ‘cell factories’ that use programmable proteins to produce a wide variety of everyday products: from milk and meat, grown without farming animals, to plastics created without petrochemicals, materials for clothing or electronic components, or even personalized medicines. Synthetic biology can also play an important role in breaking down and recycling waste materials, for instance by degrading waste plastics or removing pollutants from water. This news comes at a time when the ‘synthetic biology’ is at a commercial and scientific turning point, with Cradle primed to shape this emerging field.

The challenge for biologists who are working on these products is that building these proteins is currently a costly and laborious iterative process based on trial and error. It often takes years to reach a viable solution and often more than 99% of protein designs tested in the laboratory fail to hit their design specifications.

Cradle solves this problem by giving scientists the ability to ‘reverse engineer’ proteins with the desired specific properties and has built a working platform that is already being used by a number of early stage design partners. For example, a biologist might want to change a protein so that it is guaranteed to remain stable at a certain temperature, or so that it will attach itself to a specific chemical in its vicinity. Cradle’s self-teaching, self-improving generative machine learning models – which draw on recent advances in ‘natural language processing’ – can predict which parts of a protein’s genetic code a biologist will need to alter, significantly improving a scientist’s chances of getting the experimental results they want.

Cradle further improves the performance of these large models on specific tasks relevant to the context of biological research, and makes them accessible to scientists without a machine learning background through an intuitive and collaborative online platform. Through this method, Cradle believes it can reduce the time and cost of getting a synthetic biology product to market by an order of magnitude.

The company will use its seed funding to continue to accelerate product development and build out its offering as the global leader in programmable biology, scale its world class team and support the onboarding of more design partners.

You can think of cells like tiny factories, with proteins as the assembly lines and machines that allow them to make different end-products. With the right tweaks, we can make proteins that will make all manner of new products far more efficiently and with a much lower environmental impact. With current methods a biologist can spend years trying to find the right solution to any particular problem. By harnessing the power of machine learning, our platform can substantially speed up the design, build and scaling phases when bioengineering proteins, making it possible to create and scale synthetic biology projects much faster and more cost-effectively. Our goal is to reduce the cost and time of getting a bio-based product to market by an order of magnitude so that anyone - even 'two kids in their garage' - can bring a bio-based product to market.

It’s early days for synthetic biology, but it’s hugely significant for humanity and is going to grow exponentially. We believe this technology could transform how we produce almost everything; from food and medicine to the raw materials we use for a wide variety of consumer products. The Cradle team’s depth of expertise, degree of focus and speed of development sets them apart. They’re ideally placed to define a new category around programmable biology, creating the design tools that scientists are going to need to precision-engineer proteins.

Cradle’s operations include a ‘wet lab’, which allows the company to generate data to train their machine learning models. It has offices in Delft, The Netherlands and Zurich, Switzerland and with a team comprised of machine learning and biotech research specialists with experience at many of the world’s leading technology and biotech companies, including Google, Google X, Zymergen, Uber and Perfect Day.

Cradle, the platform that helps scientists to design and program proteins, today announces it is exiting stealth and has raised €5.5 million in seed funding, co-led by Index Ventures and Kindred Capital.

Press release: We've raised $5.5M to design protein-machines and cell-factories with AI