Origin是一家专注于室内建筑机器人研发的物理AI初创公司，已在由Accel和Zacua Ventures共同领投的融资轮中筹得2000万美元。
Origin, a physical AI startup developing robots for interior construction, has raised $20 million in a funding round co-led by Accel and Zacua Ventures.
此轮融资还获得了Unilazer Ventures、Schema Ventures和Z21的参与，并有来自Anduril、Skild AI、1X和特斯拉的天使投资人加入。
The funding also saw participation from Unilazer Ventures, Schema Ventures and Z21, alongside angel investors from Anduril, Skild AI, 1X and Tesla.
公司将使用这笔资金扩大其机器人队伍，并部署其旗舰机器人OG-1，同时在美国和欧洲开展大规模客户试点。这些试点包括与美国两家最大的干墙修饰承包商合作，并计划在德国、瑞典、法国和沙特阿拉伯进行进一步部署。
The company will use the funds to expand its robot fleet and deploy its flagship OG-1 robot while conducting large-scale customer pilots in the US and Europe. These include pilots with two of the largest drywall-finishing contractors in the US, with further deployments planned in Germany, Sweden, France and Saudi Arabia.
该笔资金还将用于将Origin的机器人平台扩展至更多室内建筑任务。
The funding will also support the expansion of Origin’s robotics platform to additional interior construction tasks.
Origin由Yogesh Ghaturle、Ashish Daga和Tushar Makkar于2025年创立，正在打造一个通用机器人平台用于建筑领域，起步从室内装修开始。其首款机器人OG-1能够自主完成墙面批灰、打磨和底漆处理，可处理从大面积到角落、边缘以及高空作业的全部工作。
Founded in 2025 by Yogesh Ghaturle, Ashish Daga and Tushar Makkar, Origin is building a general-purpose robotic platform for construction, starting with interior finishing. Its first robot, OG-1, autonomously applies compound, sands and primes walls, handling everything from large surfaces to corners, edges, and work at height.
在一篇博客文章中，Zacua Ventures指出，建筑业是全球最大的行业之一，但仍是自动化程度最低的行业之一。过去二十年，生产力几乎没有提升，而熟练工人的日益短缺使得满足日益增长的基础设施需求变得更加困难。
In a blog post, Zacua Ventures pointed that construction is one of the world’s largest industries, yet remains among the least automated. Productivity has barely improved over the past two decades, while a growing shortage of skilled workers is making it harder to meet rising infrastructure demand.
挑战在于建筑本身的性质。工厂在受控环境中运作，而建筑工地则不断变化。每个项目都带来不同的布局、表面、障碍物和工作条件。正如Zacua Ventures所补充的，构建能够可靠应对这种复杂性的机器人历来极其困难。
The challenge lies in the nature of construction itself. Factories operate in controlled environments, while construction sites are constantly changing. Every project brings different layouts, surfaces, obstacles, and working conditions. Building robots that can reliably navigate this complexity has historically been extraordinarily difficult, the firm added.