World Labs
Founded Year
2024Stage
Series A - II | AliveTotal Raised
$230MValuation
$0000Last Raised
$130M | 10 mos agoAbout World Labs
World Labs is a spatial intelligence company specializing in artificial intelligence and machine learning. The company focuses on developing Large World Models (LWMs) that enable AI to perceive, generate, and interact with the 3D world, both virtual and real, by endowing them with spatial intelligence. World Labs primarily serves sectors that require advanced AI capabilities for understanding and reasoning about 3D environments from various data inputs. It was founded in 2024 and is based in Stanford, California.
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ESPs containing World Labs
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The robot foundation model developers market refers to the segment of the artificial intelligence and robotics industry focused on developing foundational AI models for a wide variety of robotic form factors. These models, built on advanced machine learning architectures, provide the underlying capabilities for a wide array of robotic tasks, such as perception, decision-making, and interaction. Th…
World Labs named as Challenger among 11 other companies, including Microsoft, Meta, and NVIDIA.
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Research containing World Labs
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned World Labs in 5 CB Insights research briefs, most recently on May 16, 2025.
May 16, 2025 report
Book of Scouting Reports: 2025’s AI 100
Apr 24, 2025 report
AI 100: The most promising artificial intelligence startups of 2025
Oct 29, 2024 report
State of AI Q3’24 Report
Oct 3, 2024 report
State of Venture Q3’24 ReportExpert Collections containing World Labs
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
World Labs is included in 5 Expert Collections, including Unicorns- Billion Dollar Startups.
Unicorns- Billion Dollar Startups
1,276 items
Artificial Intelligence
10,049 items
Generative AI
2,329 items
Companies working on generative AI applications and infrastructure.
AI 100 (2025)
100 items
AI 100 (All Winners 2018-2025)
100 items
World Labs Patents
World Labs has filed 1 patent.
The 3 most popular patent topics include:
- lanthanides
- monoclinic minerals
- polarization (waves)
Application Date | Grant Date | Title | Related Topics | Status |
|---|---|---|---|---|
10/19/2021 | Monoclinic minerals, Polarization (waves), Lanthanides, Reducing agents, Spectroscopy | Application |
Application Date | 10/19/2021 |
|---|---|
Grant Date | |
Title | |
Related Topics | Monoclinic minerals, Polarization (waves), Lanthanides, Reducing agents, Spectroscopy |
Status | Application |
Latest World Labs News
Jul 4, 2025
AI顶尖人才工资超过两个詹姆斯？他们以后还会拿更多 文章摘要 • 💸 薪酬对比：AI顶尖人才薪酬包超过体育明星勒布朗·詹姆斯工资两倍以上。 “明星选手”拥有天价薪酬包： AI 领域的“明星球员”（顶尖研究员）可以获得数千万、数亿，甚至对最顶尖的离群值人才来说，似乎可以达到数十亿美元的薪酬包。这与职业体育明星的天价合同非常相似。 不过，也有一点不同：合同短期且流动性强，随时可能被“挖角”：与体育明星通常拥有长期合同不同，AI 领域的雇佣协议是短期的、流动性强的，这意味着“任何人都可以在任何时候被挖走” 。 这一论断放在前面，便于理解接下来的论述。 前些天马克·扎克伯格亲自下场，天价挖人，据说开出了一亿美元的“签字费”——勒布朗·詹姆斯下赛季的工资是 5260 万。如今 Meta 已经重组 AI 业务，成立 MSL （“超级智能实验室”），以至于阿尔特曼恼羞成怒，说他们挖走的是雇佣兵，不是传教士，而且离开的都不是最顶级的。 他生气太早了，这类堪比超级球星的合同，可能是以后 AI 行业的常态。 这一年 AI 行业内部有个根本转变：过去的一年里，决定竞争胜负的关键瓶颈，已经不再是算力，而是人才。 一年前，整个行业的叙事都围绕着“集群规模”（cluster size）和“预训练扩展”（pre-training scaling）展开 。由于构建基础模型的成本极其高昂，市场经历了一轮快速整合与淘汰。 今天情况已经截然不同。大家不再讨论预训练算力，而且又有了一批新的参与者，包括 SSI、Thinking Machines 和DeepSeek。这些新公司的核心竞争力，不再是原始的算力规模，而是其拥有的顶尖人才以及对算法的改进。 这种叙事的转变，标志着行业发展逻辑的根本变化。一年前，大家普遍认为预训练所需的庞大算力是市场整合的主要驱动力；而今天，决赛圈选手的算力都不会是短板，整个行业都明白，仅有大规模的计算集群不足以取胜，人才优势至关重要的 。 OpenAI 联合创始人苏茨克沃预测，“我们所熟知的预训练将会终结” 。那接下来，要想在AI竞赛中实现下一次飞跃，就必须在强化学习或其他领域取得新的突破，而找到这些突破的唯一途径，就是顶尖的人才。 而且，当下阶段所需要的不是人才，是天才。 当天才成为最关键的瓶颈时，其价值的评估体系也必然会发生改变。天价薪酬的背后，是一套全新的、基于非线性价值、零和博弈以及人才资产化的估值逻辑。 在 AI 领域，顶尖人才与优秀人才之间的差距，并非线性的，而是指数级的。阿尔特曼曾发推文，说如果传统软件行业最好的工程师效率是平均的 10 倍（10x），那么在AI行业，最顶尖的研究员效率则是平均的 10000 倍（10，000x）。 业界普遍认为，极少数的“个人贡献者”（ICs）对大语言模型的发展做出了超乎寻常的贡献，他们的工作足以决定一个 AI 模型的成败，正如同几个球星的转会，能够彻底改变联盟格局一样。 AI 的竞赛里，每家的目标都是主导人工智能，赢家通吃。Meta 之所以加大力度挖角，一个直接原因就是其最新的大模型 Llama 4在一些独立基准测试中表现不佳，令外界失望。在这个赛场上，第二名可能就意味着失败，这种巨大的压力迫使所有“球队”都必须不惜代价，签下能带领他们“夺冠”的核心球员。 天才也不仅是员工，也是可以交易和投资的资产。AI 实验室招聘人才时候，要确保这些人拥有各种互补的专业知识，就像球场上不可能只有五个库里打球一样。何况，他们的价格不仅由人才的“进攻价值”（他能为你创造什么）决定，更由其“防御价值”（阻止他为对手创造什么）决定。 顶尖人才本身就具备强大的资本号召力。前 OpenAI 首席技术官 Mira Murati 离职后创办新公司，在没有产品的情况下，仅凭其招揽的约 60 人的明星团队，就在进行一轮“破纪录”的种子轮融资。李飞飞去年创办 World Lab，在没有任何产品甚至没有明确路线图的情况下，估值便达到 10 亿美元——这几乎可以看做是李飞飞本人的价值。 Meta 的这次竞争，只是把原本悄悄演变的人才估值逻辑摆在了台面上，其实人才军备竞赛早已经不算新闻。 天价薪酬已成为这场竞赛的基础武器，顶尖的 OpenAI 研究员年薪可超过 1000 万美元，Google DeepMind 也为顶级研究员开出过每年 2000 万美元的薪酬包。 为了防御，公司不惜提供巨额留任奖金，例如 200 万美元的现金外加 2000 万美元或更多的股权增值。为了进攻，公司的最高层，如埃隆·马斯克，会亲自打电话给候选人以敲定录用。竞赛的单位已从个人扩展到团队，一些公司甚至直接要求招聘公司帮助“挖走整个工程团队”，以实现“即插即用”的效果。 即便如今的薪酬包已经达到了令人瞠目结舌的水平，但这可能还不是顶尖AI人才价值的上限。我们仍处于这场人才战争的初期阶段。 随着市场进一步成熟，应用层迎来爆发，能够分享的回报可能会更高。金融时报的报道，顶尖 AI 人才的薪酬包从 2022 年以来已经上涨了约 50% ，这表明市场对其价值的评估仍在一个快速上升的通道中。 而且，与 NBA 球星不同，AI 人才市场的一个关键特点是其极强的流动性。这种“无约束”状态，意味着没有一家公司可以高枕无忧。为了留住核心人才，他们必须持续不断地提供更具吸引力的薪酬和激励，以应对竞争对手随时可能发起的“挖角”突袭。这种持续的、不稳定的竞争态势，会不断推高顶尖人才的市场价格。 最终，决定顶尖人才薪酬上限的，是赢得这场竞赛的终极“奖赏”的规模。人类总倾向于把事情推向极致，当所有人都认为 AI 是下一个价值数万亿美元的平台级机会时，任何为了赢得这场胜利的投入，在逻辑上都变得合理。只要“赢得AI”这个终极大奖的预期不变，那么为扫清通往终点的最大障碍（顶尖人才）而支付的费用，就可能继续攀升。 那么中小公司怎么办？ 现在的中小公司，往往用错位竞争的手段，来避开和大公司的直接对撞。一些公司选择全球化招聘，开源 AI 公司Hugging Face 的联合创始人就表示，在欧洲，可以用一个湾区工程师的成本，雇佣三到四名同等水平的人才。另一些公司则强调非金钱激励，因为候选人也越来越关注研究自由、能否发表论文以及工作的社会影响力。对公司使命的认同，是“金钱本身买不到的” 。 跨界“寻宝”也成为一种有效手段，一些公司正采用数据分析方法，来发掘有潜力但未被发现的人才，或者从理论物理、量子计算等相邻领域招募人才——没错，这就很像《点球成金》的做法，一家小棒球队依靠数学知识而得以和豪门抗衡。 当然，之后豪门队伍也采用了这样的做法，继续主导联盟。
World Labs Frequently Asked Questions (FAQ)
When was World Labs founded?
World Labs was founded in 2024.
Where is World Labs's headquarters?
World Labs's headquarters is located at Stanford.
What is World Labs's latest funding round?
World Labs's latest funding round is Series A - II.
How much did World Labs raise?
World Labs raised a total of $230M.
Who are the investors of World Labs?
Investors of World Labs include Radical Ventures, Andreessen Horowitz, New Enterprise Associates, Salesforce Ventures, Intel Capital and 19 more.
Who are World Labs's competitors?
Competitors of World Labs include Bifrost and 6 more.
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Compare World Labs to Competitors
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BuzzAR is a company specializing in the creation of a generative AI-powered pop-up metaverse platform within the augmented and virtual reality sectors. The company offers a virtual world creation service that allows users to connect with others, as well as tools for personalizing avatars and real-world activities through AR and VR. BuzzAR primarily serves individuals looking to engage with their community in a virtual environment. It was founded in 2018 and is based in Singapore.
SolidWorks provides tools for mechanical and industrial design, 3D modeling, and cloud-based collaboration within the software industry. The company serves sectors that require design and engineering solutions, such as manufacturing and product design. It was founded in 1993 and is based in Waltham, Massachusetts. SolidWorks operates as a subsidiary of Dassault Systemes.
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