Tera Raises $7.8M Co-Led by Felicis and Inovia to Provide Superhuman Visual Navigation for Robots
Tera 获 Felicis 和 Inovia 共同领投 780 万美元，为机器人提供超人类视觉导航能力
SAN FRANCISCO, March 20, 2025-- Tera AI, which has been working in stealth on its spatial reasoning AI for the past year, has raised a $7.8 million seed round co-led by Felicis and Inovia Capital, with participation from Caltech + Wilson Hill, and Naval Ravikant. The company is developing a unique software-only solution to solve general-purpose navigation for autonomous hardware like robots..
旧金山，2025年3月20日——Tera AI 过去一年一直在秘密研发其空间推理人工智能，现已筹集了780万美元的种子轮融资，由Felicis和Inovia Capital共同领投，Caltech + Wilson Hill和Naval Ravikant参与投资。该公司正在开发一种独特的纯软件解决方案，以解决机器人等自主硬件的通用导航问题。
'Spatial reasoning is one of those innate skills humans have that's really underappreciated and missing in foundation models today,' said Tony Zhang, CEO and co-founder of Tera AI. 'Most robots today lack the ability to move between physical environments, and 99% of autonomous systems use little to no AI for Navigation.
“空间推理是人类拥有的那些被严重低估且在当前基础模型中缺失的先天技能之一，”Tera AI首席执行官兼联合创始人张彤表示。“当今大多数机器人缺乏在物理环境之间移动的能力，99%的自主系统在导航方面很少或根本不使用人工智能。”
Humans can easily navigate between indoor and outdoor places with just our eyes. Our brain passively builds internal models of the outside world, which we can reuse years later to recognize exactly where we are. We can read a map we've never seen and use it to navigate a maze-like indoor space. At Tera AI, we believe zero-shot navigation for robots is a problem that software-alone can solve.'.
人类仅凭双眼就能轻松地在室内外场所导航。我们的大脑会无意识地构建外部世界的内部模型，多年后我们可以重新利用这些模型来准确识别我们所处的位置。我们可以阅读从未见过的地图，并利用它导航迷宫般的室内空间。在Tera AI，我们相信机器人零样本导航是仅靠软件就能解决的问题。
Tera AI was founded by Zhang, who previously led ML at Google X, and has a team of AI and simulation researchers from Google AI, Caltech, MIT, and the European Space Agency. While everyone has been focused on LLMs the past two years, Zhang and his team have developed a novel way for an AI system to teach itself spatial reasoning.
Tera AI 由曾领导 Google X 机器学习团队的张创立，拥有一支来自 Google AI、加州理工学院、麻省理工学院和欧洲航天局的 AI 和仿真研究团队。在过去的两年里，当所有人都专注于大语言模型时，张和他的团队开发了一种新方法，让 AI 系统能够自学空间推理。
Zhang did his PhD at Caltech with Pietro Perona, an early godfather of computer vision, developing theories of how biology solved navigation in a general-purpose way..
张在加州理工学院与计算机视觉的早期开创者皮耶特罗·佩罗纳一起攻读博士学位，研究生物学如何以通用方式解决导航问题的理论。
'What's unique about Tera is not just their fundamental breakthroughs in spatial AI research, but also powerful robotics partners that need what they are building yesterday,' said Viviana Faga, Partner at Felicis. 'It's the deep dual focus on groundbreaking research and a sharpened product focus that will position them to redefine what people think robots can do in the near term.'.
“Tera的独特之处不仅在于他们在空间人工智能研究方面的基础性突破，还在于那些迫切需要他们昨天所构建成果的强大机器人合作伙伴，”Felicis合伙人维维安娜·法加表示。“他们对开创性研究的深入关注以及明确的产品导向将使他们能够重新定义人们短期内对机器人能力的认知。”
'AI's next frontier goes beyond text to understanding and acting in the physical world. Advances in 'world reasoning' and edge-based inference are making that a reality,' said Steve Woods, CTO at Inovia. 'Tera AI is at the cutting edge of applying AI to solve fundamental challenges in navigation and perception.'.
“人工智能的下一个前沿领域超越了文本，扩展到对物理世界的理解和行动。‘世界推理’和基于边缘的推理方面的进步正在使之成为现实，”Inovia首席技术官史蒂夫·伍兹表示。“Tera AI处于将人工智能应用于解决导航和感知等基本挑战的最前沿。”
Tera will use the funding to deploy the initial solution into real embedded devices this year and will be growing the technical team across both product and research.
Tera将利用这笔资金在今年将初始解决方案部署到真实的嵌入式设备中，并将扩充技术和研发团队。
To learn more about Tera please visit tera-ai.com
要了解有关 Tera 的更多信息，请访问 tera-ai.com
About Tera
关于Tera
Tera is developing a platform-agnostic, software-only spatial reasoning system that enables any robot to navigate its surroundings with its own camera. Developed by a team of leading ML researchers, Tera aims to help robots navigate new environments similar to how humans can – with no prior setup or additional sensors and external signals from the environment.
Tera正在开发一种与平台无关、纯软件的空间推理系统，使任何机器人能够通过自己的摄像头导航周围环境。由一群领先的机器学习研究人员开发，Tera旨在帮助机器人像人类一样在新环境中导航——无需事先设置或额外的传感器和来自环境的外部信号。
Tera has received funding from Felicis, Inovia, Caltech + Wilson Hill, and Naval Ravikant and is based in the Bay Area..
Tera已获得来自Felicis、Inovia、Caltech+Wilson Hill以及Naval Ravikant的融资，并且总部位于湾区。
About Felicis
关于Felicis
Founded in 2006, Felicis is a venture capital firm investing in companies reinventing core markets, as well as those creating frontier technologies. Felicis focuses on early-stage investments and currently manages over $3B in capital across 9 funds. The firm is an early backer of more than 50 companies valued at $1B+.
成立于 2006 年的 Felicis 是一家风险投资公司，投资于重塑核心市场的公司以及创造前沿技术的公司。Felicis 专注于早期投资，目前管理着 9 只基金，资本超过 30 亿美元。该公司是 50 多家估值超过 10 亿美元的公司的早期支持者。
More than 100 of its portfolio companies have been acquired or gone public, including Adyen (IPO), Credit Karma (acq by Intuit), Cruise (acq by General Motors), Fitbit (IPO), Guardant Health (IPO), Meraki (acq by Cisco), Ring (acq by Amazon), and Shopify (IPO). The firm is based in Menlo Park and San Francisco in California.
其投资的100多家公司已被收购或上市，包括Adyen（IPO）、Credit Karma（被Intuit收购）、Cruise（被通用汽车收购）、Fitbit（IPO）、Guardant Health（IPO）、Meraki（被思科收购）、Ring（被亚马逊收购）和Shopify（IPO）。该机构总部位于加利福尼亚州的门洛帕克和旧金山。
Learn more at felicis.com..
了解更多，请访问 felicis.com。
About Inovia
关于Inovia
Inovia Capital is Canada's leading full-stack software investor, partnering with founders to build impactful and enduring global companies. With three investment strategies—Discovery, Venture, and Growth—the team leverages an operator-led mindset to provide founders with multi-stage support, mentorship, and access to a worldwide network.
Inovia Capital 是加拿大领先的全栈软件投资者，与创始人合作打造具有影响力且持久的全球公司。团队通过三种投资策略——探索、风险投资和成长——运用以运营为主导的思维模式，为创始人提供多阶段支持、指导以及接触全球网络的机会。
Inovia manages over US$2.5B with operations in Montreal, Toronto, Waterloo, Calgary, Bay Area, and London. For more information, visit inovia.vc..
Inovia管理着超过25亿美元的资金，在蒙特利尔、多伦多、滑铁卢、卡加立、湾区和伦敦设有业务。欲了解更多信息，请访问inovia.vc。
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艾莉·蒂佩特，KCPR