The grant funds the next chapter for Caravel's full-stack platform—built to create value for all proteins—while scaling machine learning datasets and real-world pilots for existing customers. Michał Jastrzębski also joins as CTO to lead the company's AI-driven protein engineering work.

该笔资助将支持 Caravel 全栈平台开启新篇章——该平台旨在为所有蛋白质创造价值，同时扩展机器学习数据集并为现有客户开展现实世界试点项目。Michał Jastrzębski 也加入公司担任首席技术官，领导公司基于人工智能的蛋白质工程工作。

PORTLAND, Ore.

俄勒冈州波特兰

,

，

Oct. 28, 2026

2026年10月28日

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Caravel Bio

卡拉维尔生物

, the company creating new high-performance systems for discovering, engineering, and manufacturing biomolecules, has been awarded a $1,246,984 Small Business Innovation Research (SBIR) Phase II grant from the National Science Foundation (NSF). The award, secured by fewer than 5% of applicants over the last decade, will support development of a system for creating and scaling proteins with new-to-nature chemistries.

，这家致力于开发用于发现、工程化和制造生物分子的新型高性能系统的公司，已获得美国国家科学基金会（NSF）授予的1,246,984美元小企业创新研究（SBIR）二期资助。该奖项在过去十年中仅有不到5%的申请者成功获得，将用于支持开发一种能够利用自然界中不存在的化学方法创建和规模化生产蛋白质的系统。

The Caravel platform massively parallelizes biological experimentation, enabling the building and testing of millions of protein designs at once. That scale generates the data AI needs to engineer proteins nature never built, accelerating development from the lab to products that can strengthen the economy, reduce pollution, and improve human health.

Caravel 平台实现了生物实验的大规模并行化，能够同时构建和测试数百万种蛋白质设计。这种规模产生了人工智能所需的数据，用于设计自然界中从未存在过的蛋白质，从而加速从实验室到产品的开发进程，这些产品能够增强经济实力、减少污染并改善人类健康。

The company has also welcomed .

该公司也表示欢迎。

Michał Jastrzębski

米哈乌·雅斯特热布斯基

, formerly of Ginkgo Bioworks, Proxima, and Intel, as Chief Technology Officer to lead the company's work in training advanced AI models for biomolecular design.

，曾任 Ginkgo Bioworks、Proxima 和英特尔的高管，现担任首席技术官，领导公司开展用于生物分子设计的高级人工智能模型训练工作。

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Nearly every industrial enzyme, therapeutic protein, and biomaterial on the market today has been built from the same 20 canonical amino acids found in nature. Beyond those 20 exist hundreds of additional amino acids that could enable amazing new products—for example, the blockbuster drug Ozempic improves stability using one non-canonical amino acid—but, as a field, biotechnology has generally lacked reliable methods to discover proteins and manufacture products at scale using these new chemistries.

如今市场上的几乎所有工业酶、治疗性蛋白质和生物材料都是由自然界中存在的20种标准氨基酸构建而成。在这20种氨基酸之外，还存在数百种额外的氨基酸，它们有望促成令人惊叹的新产品开发——例如，重磅药物Ozempic就利用一种非标准氨基酸提高了稳定性——但总体而言，生物技术领域一直缺乏可靠的方法，来发现蛋白质并利用这些新化学成分大规模制造产品。

And while AI is generating promising protein designs faster than ever, labs can test only a fraction of them. Compounding the problem, protein engineers don't have effective feedback loops for turning laboratory experiments into scalable products without enormous expense and risk..

尽管人工智能以前所未有的速度生成具有前景的蛋白质设计，但实验室只能测试其中的一小部分。更棘手的是，蛋白质工程师缺乏有效的反馈机制，难以在不承担巨大成本和风险的情况下，将实验室实验转化为可规模化生产的产品。

Caravel generates the data AI needs to engineer proteins nature never built, accelerating critical product development.

Caravel 生成人工智能设计自然界中从未存在的蛋白质所需的数据，从而加速关键产品的开发。

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Caravel is building systems to close these gaps simultaneously through its novel design-build-test-learn cycle.

Caravel 正在通过其创新的“设计-构建-测试-学习”循环，构建能够同时弥补这些差距的系统。

'I was really exhausted by the inability of the work I and my peers were doing, all with the best intentions, to actually improve the world without spending hundreds of millions of dollars to get a product across the finish line,' says

“我和我的同事们怀着最美好的意愿，却因无法在不花费数亿美元将产品推向终点的条件下真正改善世界，而感到筋疲力尽。”

Trevor Nicks, PhD.

特雷弗·尼克斯，博士

, Founder & CEO of Caravel. 'So when we set out to build Caravel, we started completely from scratch, re-designing the entire process of biomolecular engineering to lower costs while increasing speed, volume, and the real-world relevance of generated data.'

Caravel 创始人兼首席执行官表示：“因此，在着手打造 Caravel 时，我们完全从零开始，重新设计了整个生物分子工程流程，以在降低成本的同时，提高速度、规模以及所生成数据的现实相关性。”

Caravel's platform combines a suite of new lab techniques that unlock the broader amino acid palette for both discovery and manufacturing of new proteins. This data-rich workflow incorporates machine learning that converts each round of experiments into sharper predictions for the next. Notably, the data generated not only identifies what should be made, but also lays the foundation for manufacturing it at scale..

Caravel 的平台融合了一系列新型实验室技术，从而在新型蛋白质的发现与生产中解锁更广泛的氨基酸组合。这一数据密集型工作流程融入了机器学习，将每一轮实验转化为对下一轮更精准的预测。值得注意的是，所生成的数据不仅指明了应合成的目标分子，还为大规模制造奠定了基础。

'When an experiment costs a fraction of a cent instead of tens of dollars, you stop asking which handful of ideas might work and instead start testing all of them,' says

“当一项实验的成本从几十美元降至不足一美分时，你就不再纠结于哪少数几个想法可能奏效，而是开始对所有想法进行测试。”

Emily Bowman, PhD.

艾米丽·鲍曼，博士

, CSO of Caravel. 'The systems we have built unlock massive data sets with very low costs. AlphaFold's success in protein design illustrates the potential of large datasets. But importantly, those datasets were made possible by billions of dollars in publicly funded research. We are thankful that the NSF recognizes the value in decreasing those costs and is supporting our work in the massive parallelization of experimentation.'.

Caravel 公司首席战略官表示：“我们构建的系统以极低的成本解锁了大规模数据集。AlphaFold 在蛋白质设计方面的成功彰显了大数据集的潜力。但重要的是，这些数据集的实现得益于数十亿美元的公共资助研究。我们感谢美国国家科学基金会（NSF）认识到降低这些成本的价值，并支持我们在实验大规模并行化方面的工作。”

One Year In: Partnerships, Funding, and Performance Gains

一年回顾：合作伙伴关系、资金筹措与绩效提升

Since completing its Phase I grant in 2024, Caravel has translated its lab-stage platform into industrial partnerships, funding, and measurable performance gains. The company:

自2024年完成第一阶段资助以来，Caravel已将其实验室阶段的平台转化为产业合作伙伴关系、资金支持以及可衡量的性能提升。该公司：

Formally

正式地

launched in October 2025

2025年10月推出

alongside a $7.8 million award from the NSF Directorate for Technology, Innovation and Partnerships

以及来自美国国家科学基金会技术、创新与合作理事会的780万美元资助

Joined the

加入了

Shell GameChanger program

壳牌GameChanger计划

to create new ultra-stable enzymes for low-cost carbon capture and surpassed a key technical milestone within six months by increasing enzyme stability under industrially relevant conditions 12-fold

开发用于低成本碳捕获的新型超稳定酶，并在六个月内通过将在工业相关条件下的酶稳定性提高12倍，超越了一项关键技术里程碑

Built a network of scientific and strategic partners, including Avery Bio, Caltech, Rutgers University, Oregon State University, Southern Connecticut State University, Rubi Laboratories, and the vHive Animal Health Incubator

建立了科学与战略合作伙伴网络，包括Avery Bio、加州理工学院、罗格斯大学、俄勒冈州立大学、南康涅狄格州立大学、Rubi Laboratories以及vHive动物健康孵化器

Under Phase II, Caravel aims to extend its platform to additional enzyme classes for existing customers, and eventually scale those products for pilot deployment to innovate new, real-world protein products across DNA writing, carbon capture, rare earth separations, and more.

在第二阶段，Caravel 旨在将其平台扩展至面向现有客户的更多酶类，并最终将这些产品规模化以进行试点部署，从而在 DNA 合成、碳捕获、稀土分离等领域创新出新型的现实世界蛋白质产品。

Deepening Leadership: Caravel's New CTO

深化领导力：Caravel 新任首席技术官

The company also announced the addition of

该公司还宣布增加

Michał Jastrzębski

米哈乌·雅斯特热布斯基

as Chief Technology Officer. As Caravel builds the infrastructure poised to define the next era of protein design, Jastrzębski will lead Caravel's artificial intelligence initiatives while helping advance its product roadmap and market strategy. Jastrzębski began his extensive career in technology at Intel Corporation and has since held roles at GitHub, bytewax, and Promixa.

担任首席技术官。随着 Caravel 构建旨在定义蛋白质设计新时代的基础设施，Jastrzębski 将领导 Caravel 的人工智能计划，同时协助推进其产品路线图和市场战略。Jastrzębski 的漫长科技职业生涯始于英特尔公司，此后曾在 GitHub、bytewax 和 Promixa 担任职务。

More recently, Jastrzębski worked at Ginkgo Bioworks, where he co-authored a .

最近，Jastrzębski 在 Ginkgo Bioworks 工作，期间他共同撰写了一篇。

collaboration with OpenAI

与OpenAI合作

exploring the use of a GPT-5-driven autonomous laboratory to optimize cell-free protein synthesis.

探索利用由GPT-5驱动的自主实验室来优化无细胞蛋白质合成。

'I've seen firsthand how much AI in biology is still held back by a lack of the right data, not a lack of ambition,' said Jastrzębski. 'Caravel is solving that problem at the source. Joining as Chief Technology Officer means helping build the system that finally gives protein design the scale of data it needs.'.

“我亲眼目睹，生物学中的人工智能发展受阻，主要原因在于缺乏合适的数据，而非缺乏雄心壮志，”雅斯特热布斯基表示。“Caravel 正在从源头上解决这一问题。我出任首席技术官，旨在帮助构建一个系统，最终为蛋白质设计提供其所需的大规模数据。”

ABOUT CARAVEL BIO

关于卡拉维尔生物

Caravel Bio has built a new data engine for biomolecular engineering, dramatically increasing the scale and speed of generating data. The platform tests millions of protein designs in parallel at a fraction of a cent per experiment, versus tens of dollars with conventional methods, providing the data AI-driven biology has been missing.

Caravel Bio 为生物分子工程构建了一个全新的数据引擎，大幅提升了数据生成的规模和速度。该平台能够以每次实验不到一美分的成本并行测试数百万种蛋白质设计，而传统方法的成本高达数十美元，从而填补了人工智能驱动生物学所缺失的数据空白。

The company's Artificial Evolution™ technology combines cell-free protein synthesis, microfluidic droplets, and bacterial spore display to supercharge biomolecular engineering, so labs can generate the data AI needs to design proteins nature never built. Caravel was selected to lead a $7.8M NSF Technology, Innovation and Partnerships award and a $1.2M NSF SBIR Phase II grant.

该公司的 Artificial Evolution™ 技术结合了无细胞蛋白质合成、微流控液滴和细菌孢子展示技术，为生物分子工程注入强大动力，使实验室能够生成人工智能设计自然界中从未存在过的蛋白质所需的数据。Caravel 获选主导一项金额为 780 万美元的美国国家科学基金会（NSF）技术、创新与合作奖项，以及一项金额为 120 万美元的 NSF 小企业创新研究（SBIR）二期资助。

Caravel is on a mission to expand the role of biology as a transformative force for societal good. Learn more at .

Caravel 致力于拓展生物学作为推动社会向善的变革性力量之角色。了解更多，请访问 。

www.caravel.bio

www.caravel.bio

.

。

About the National Science Foundation's Small Business Programs

关于美国国家科学基金会的小型企业计划

America's Seed Fund powered by NSF awards $200 million annually to startups and small businesses, transforming scientific discovery into products and services with commercial and societal impact. Startups working across almost all areas of science and technology can receive up to $2 million to support research and development (R&D), helping de-risk technology for commercial success.

由美国国家科学基金会（NSF）支持的“美国种子基金”每年向初创企业和小微企业提供2亿美元资助，推动科学发现转化为具有商业和社会影响力的产品与服务。在几乎所有科学技术领域开展工作的初创企业均可获得高达200万美元的资金，用于支持研发（R&D），从而降低技术商业化风险，助力其取得商业成功。

America's Seed Fund is congressionally mandated through the Small Business Innovation Research (SBIR) program. The NSF is an independent federal agency with a budget of about $8.5 billion that supports fundamental research and education across all fields of science and engineering..

美国的种子基金是通过国会授权的小企业创新研究（SBIR）计划设立的。美国国家科学基金会（NSF）是一个独立的联邦机构，预算约为85亿美元，支持所有科学和工程领域的基础研究和教育。

MEDIA CONTACT

媒体联系人

Tess Pawlisch

泰丝·帕夫利施

608-333-9788

608-333-9788

[email protected]

[email protected]

SOURCE Caravel Bio

来源：Caravel Bio