TechCrunch News 2024年11月26日
Cradle builds out its protein-design AI platform (and wet lab) with $73M in new funding
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Cradle专注于蛋白质设计,利用AI加速生物技术发展。它获得新投资,旨在通过寻找推荐序列影响蛋白质特性,为客户节省成本和时间。其简单的SaaS商业模式受欢迎,同时也面临竞争。

🎯Cradle专注蛋白质设计,利用AI解析氨基酸等

💪加速测试大分子,找影响特性的序列

💰SaaS模式受欢迎,无版权等问题

🔬有实验室进行蛋白测试并训练模型

Using AI to accelerate biotech is fast becoming standard practice, and companies offering services to deploy the tech quickly are seeing big uptake and new investment. Cradle is one of these, focused on protein design — and it just raised $73 million to build out its labs and team.

Cradle appeared in 2022 as part of a wave of companies to exploring the use of language models in biotech. The company’s founder and CEO, Stef van Grieken, memorably referred to the strings of amino acids and bases as “an alien programming language,” but one that an AI model can still parse to some extent.

The company’s approach was to accelerate testing of large biomolecules like proteins (which serve countless purposes in medicine and industry) by attempting to find and recommend sequences that affect desirable qualities. So, if you have a useful protein but want it to be more resistant to heat, the model looks for sequences that tend to break down at warmer temperatures and offers alternatives that won’t change its functions otherwise.

After a $24 million A round in 2023, Cradle has been plugging away serving customers in the biotech and pharma spaces. Van Grieken said companies primarily value the acceleration and cost savings that come with having to do fewer experimental runs to get the molecule where they want it.

“Companies developing products like antibody therapeutics against a certain disease or enzymes for a detergent will typically run dozens of experimental rounds to improve the efficacy, safety, and manufacturability of their protein,” he said in an email to TechCrunch.

A mockup of the protein analysis process – vastly simplified, of course.Image Credits:Cradle

These experimental rounds can cost tens or hundreds of thousands of dollars and take a good deal of time. Not to mention the guesswork and luck that factor into it — while careful study and intuition contribute to the result, there is unavoidably a lot of unpredictability in this space, and any method of reducing it is welcome.

He also noted that their simple SaaS business model has proven popular, as there’s no need to worry about royalties, revenue share, or IP issues.

Competition, van Grieken noted, is split into two groups along those lines: those doing close partnerships to co-develop a drug or process, and those, like Cradle, strictly providing a software service. “We believe that AI in drug discovery and development will ultimately be a commodity and any team should have access to it,” he said.

But even though Cradle makes software, it’s still a biotech company.

“We have a laboratory in Amsterdam where we use to A/B test on many different types of proteins as well as develop ‘Foundational Datasets’ that help models learn properties of proteins that benefit all of our customers,” van Grieken said. And they must regularly train and fine-tune models from these datasets themselves, as well.

The $73 million round, led by IVP, with Index Ventures and Kindred Capital participating, will go toward building out the wet lab and hiring up all around.

“Our goal is now to put Cradle’s software into the hands of a million scientists,” van Grieken said in a press release.

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Cradle AI生物技术 蛋白质设计 实验室测试
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