Scale AI
Scale AI是一家总部位于美国旧金山的人工智能基础设施与软件公司,起初专注于数据标注,后扩展至RLHF服务、大语言模型评估及企业级AI应用构建与部署套件。
公司概览
- 公司类型
- 企业应用与交付
- 主要市场
- United States
行业 · Artificial intelligence / AI / Information technology
目标客户 · OpenAI / Anthropic / DeepMind / xAI / United States Department of Defense / Fox Corporation / Koch Industries / General Motors / Microsoft / Google / Time
产品与交付
Remotasks
成立于2017年、面向标注人员的平台,最初通过位于菲律宾、肯尼亚等新兴市场的设施处理计算机视觉与自动驾驶车辆的数据标注。
Donovan
专为政府和国防客户设计的决策支持平台,基于大语言模型架构构建,可汇总相关的行动与情报数据以支持战场决策、情报分析和军事规划。
Outlier
面向标注承包人员的平台,专注于生成式AI标注工作,招募具备特定领域专业知识、高等学位及各语种母语能力的贡献者。2024年Scale将其承包人员运营业务统一整合至该品牌旗下。
Scale Enterprise Generative AI Platform
面向商业客户的企业级生成式AI平台,提供使用专有数据构建、部署和管理AI应用的工具,且无需将敏感信息发送给第三方提供商。
Scale Data Engine
提供基于平台的数据标注支持,其API文档覆盖图像标注、视频标注、LiDAR点云分割和文档转录等任务类型,开发团队可通过文档接口提交任务并连接标注结果至数据集管线。
Automated Damage Identification Service
用于分析卫星图像以评估建筑物损坏情况并进行地理标记的服务,结果会报告给国际人道主义组织。
Outlier
独立贡献者平台,专用于生成式AI数据工作(尤其是LLM开发和微调),任务涵盖内容评估和人类反馈强化学习(RLHF)。
Remotasks
众包工作平台,用于支持计算机视觉和自动驾驶等领域的机器学习标注数据生成。
Scale Evaluation
用于对照基准测试LLM的平台,以发现弱点并指出可通过补充训练数据改进模型的方向。
落地案例
美国陆军第十八空降军部署Donovan决策支持大语言模型平台
- 流程与架构
- 部署在涉密军事网络上的大语言模型架构平台
- 交付责任
- Scale与美国陆军第十八空降军签约,在其涉密网络中部署Donovan平台,汇总行动和情报数据以支持战场决策、情报分析和军事规划。
- 披露结果
- 使Donovan成为首个部署在涉密军事网络上的商用大语言模型。
Donovan平台在陆军第18空降军机密网络部署
- 交付责任
- 为该军种在机密网络上部署Donovan平台。
- 披露结果
- 成为同类首个在机密军事环境中运行的商用AI系统。
开发Thunderforge军事自动化项目
- 交付责任
- Scale AI与Anduril Industries、Microsoft等共同获国防创新部门授予合同,开发Thunderforge项目。
- 披露结果
- 利用AI规划并协助执行舰艇、飞机等资产调动,加快平时和战时的军事决策,拟首先应用于印太司令部和欧洲司令部。
卡塔尔政府AI公共服务提升合作
- 交付责任
- 达成一项为期五年的合作协议,通过预测分析、自动化和高级数据分析等AI工具及培训改善政府公共服务。
业务动态
Scale AI获5亿美元合同
Scale AI与美国国防部相关合作大幅扩展,获授予5亿美元合同。
推出Scale Labs扩展研究部门
Scale AI成立Scale Labs,作为研究AI模型能力、后训练评估方法、企业部署及风险监督基础设施的中心。
五角大楼CDAO签署1亿美元生产型OTA协议
美国五角大楼首席数字与人工智能办公室(CDAO)与Scale AI签署1亿美元的生产型其他交易协议(OTA)。
Meta收购Scale AI 49%无表决权股份
Meta Platforms以143亿美元收购Scale AI 49%的无表决权股份,使公司估值达到约290亿美元。交易后创始人Alexandr Wang加入Meta担任首席AI官并领导META超级智能实验室,前首席战略官Jason Droege担任临时CEO。
Meta Stake Acquisition
Meta Platforms出资超过140亿美元收购Scale AI 49%的无表决权股份,首席执行官Alexandr Wang离职加入Meta,由Jason Droege接替职位。
美国国防部选定Scale AI测试评估军事用途LLM
Scale AI被美国国防部选定在一份为期一年的合同下测试和评估其用于军事目的的LLM。
US Army Deal
Scale AI与美国陆军第十八空降军签约,成为首家在机密网络上部署大语言模型(Donovan)的AI公司。
Federal Agencies Contract
Scale AI赢得一项价值2.5亿美元的合同,向美国联邦机构提供其工具套件的使用权限。
Scale完成1.55亿美元D轮融资
Scale在D轮融资中以35亿美元估值筹集了1.55亿美元。
Scale完成1亿美元C轮融资并晋升独角兽
由Peter Thiel的Founders Fund领投Scale的1亿美元C轮融资,推动公司估值突破10亿美元,获得独角兽地位。
资料来源
公司自述、文档记载与研究归纳分别标注;采集不等于独立核验。
查看原文片段
nited States under the Trump administration , joined as Scale AI's managing director and head of strategy. [ 23 ] By July 2021, Scale had reached a valuation of $7 billion, after a financing led by Greenoaks, Dragoneer Investment Group and Tiger Global Management. [ 24 ] There was an increased demand for data labelling from clients in different industries. [ 20 ] In January 2022, Scale AI won a $2
查看原文片段
roups assessed in the linked rankings. Their scope follows each source. Top 30 Data Annotation & Labeling Platforms 2027 — Scale Data Engine Scale Data Engine provides platform-backed data annotation across supported tasks. Current API documentation identifies image annotation, video annotation, LiDAR segmentation and document transcription among the task types. This supplies a concrete technical
查看原文片段
ama initiative, a security framework for the purpose of development of open generative AI models. [ 31 ] In February 2024, Scale AI was selected by the Department of Defense to test and evaluate its LLMs for military purposes under a one-year contract. [ 32 ] In March 2024, Scale reached a valuation of almost $13 billion after Accel led another round of funding. [ 33 ] In May 2024, Scale raised an
展开其余 37 条来源
查看原文片段
pre-labeling with rigorous human review processes. The company's growth accelerated further during 2020 and 2021 amid the broader surge in AI development. In December 2020, Scale raised 155 million dollars in a Series D round at a valuation of 3.5 billion dollars. The following year, the company secured a 325-million-dollar Series E at a valuation of approximately seven billion dollars, a mileston
查看原文片段
rcial sector have included Google , Microsoft , Meta , General Motors , OpenAI , and Time . [ 9 ] [ 10 ] [ 11 ] [ 12 ] The company also directly works with world governments, including the United States on military-related projects, [ 13 ] and with Qatar to improve the efficiency of its social programs. [ 14 ] In June 2025, Meta Platforms spent more than $14 billion to acquire a 49% non-voting sta
查看原文片段
ure to 200 million dollars in 2025. The United States Department of Defense has become an increasingly important customer for Scale. In 2023, the Defense Innovation Unit awarded Scale a prime contract for Thunderforge, the Pentagon's flagship program for leveraging AI in military planning and operations. The company's Donovan platform was deployed on classified networks for the Army's XVIII Airbor
查看原文片段
est for AI systems. [ 6 ] The company has assisted in the development of the benchmarks EnigmaEval, MultiChallenge, and MASK. [ 42 ] In February 2025, Scale AI agreed to a five-year partnership with the Qatari government to improve government services via AI-based tools and training, including predictive analytics , automation , and advanced data analytics . [ 14 ] The deal was signed at the Web Q
查看原文片段
fety, Evaluation, and Alignment Lab (SEAL), founded in 2023. Scale Labs serves as a hub for research on AI model capabilities, post-training evaluation methods, enterprise deployment, and risk-oversight infrastructure. The division focuses on understanding and testing the reliability of advanced, agentic, and multimodal AI systems in real-world environments, developing public benchmarks and evalua
查看原文片段
core team of approximately six thousand full-time employees. The company's client base has included leading AI laboratories and technology firms such as OpenAI , Anthropic , DeepMind , and xAI , as well as the United States Department of Defense. In June 2025, Meta Platforms acquired a forty-nine percent non-voting stake in Scale AI for 14.3 billion dollars, valuing the company at approximately 2
查看原文片段
3 ] [ 45 ] The company will remain as a standalone, independent entity from Meta. [ 46 ] Former CEO Alexandr Wang took a top position inside Meta as a part of the deal [ 3 ] and was replaced by the company's chief strategy officer and former Uber executive, Jason Droege. [ 15 ] Scale Labs [ edit ] In March 2026, the company launched Scale Labs, an expanded research division that builds upon its Sa
查看原文片段
operating boundary beyond a labor-only service, with the task schema and workflow defining how data is prepared and returned. A development team can submit the relevant task through the documented interface and connect the returned annotations with its dataset pipeline. Other current platform material describes annotation queues and the organization of reviewer activity. This is useful where an on
查看原文片段
ACOM and EUCOM . [ 13 ] In April 2025, Scale AI released Scale Evaluation, a platform for testing LLMs against benchmarks to pinpoint weaknesses and flag where additional training data would improve the model. [ 42 ] Additional investment from Meta (2025) [ edit ] On June 10, 2025, it was reported that Meta Platforms had agreed to purchase a 49% stake (non-voting) in Scale AI for $14.8 billion. [
查看原文片段
9 billion dollars and making it one of the largest private-market AI transactions in history. Following the deal, founder Alexandr Wang departed to join Meta as its Chief AI Officer, leading the META Superintelligence Lab , while former Chief Strategy Officer Jason Droege assumed the role of interim Chief Executive Officer. History The origins of Scale AI trace back to the realization by Alexandr
查看原文片段
50 million contract to give American federal agencies access to its suite of tools. [ 25 ] In February 2022, Scale AI developed its Automated Damage Identification Service in response to the Russian invasion of Ukraine . Satellite imagery was analyzed to measure the damage to buildings, which were then geotagged and reported to humanitarian groups. [ 26 ] In November 2022, Scale AI was recognized
查看原文片段
ative AI annotation work and recruits contributors with specialized domain expertise, advanced degrees, and native fluency in various languages. In 2024, Scale consolidated its contractor-facing operations under the Outlier brand to provide a unified experience for its global workforce of more than 240,000 annotators. In May 2023, Scale launched two enterprise platforms that represented a signific
查看原文片段
ically include professionals with advanced degrees, industry expertise, and native fluency in various languages. [ 50 ] Outlier tasks involve content evaluation and reinforcement learning from human feedback (RLHF). [ 51 ] References [ edit ] ↑ "Scale AI Appoints Francis deSouza as CEO to Lead Next Phase of Company's Growth" . Scale AI. July 30, 2026 . Retrieved August 30, 2026 . ↑ Vinn, Milana; H
查看原文片段
ne Corps, making it the first commercial AI system of its kind to operate in a classified military environment. In September 2025, the Pentagon's Chief Digital and Artificial Intelligence Office entered into a 100-million-dollar Production Other Transaction Authority agreement with Scale. This partnership expanded dramatically in May 2026, when Scale was awarded a 500-million-dollar contract to su
查看原文片段
k. Donovan assembles relevant operations and intelligence data to support battlefield decisions, intelligence analysis, and military planning. The Scale Enterprise Generative AI Platform serves commercial clients, providing tools to build, deploy, and manage AI applications using proprietary data without sending sensitive information to third-party providers. Early enterprise customers included Fo
查看原文片段
atar 2025 Summit by Mohammed bin Ali bin Mohammed Al Mannai , the Qatari Minister of Communications and Information Technology . [ 43 ] Also in February, the company became a third-party evaluator of AI models for the U.S. AI Safety Institute. [ 5 ] In March 2025, Scale AI reached a multimillion-dollar deal with the United States Department of Defense to develop the Thunderforge project, a "major
查看原文片段
s. [ 18 ] [ 48 ] In early 2024, the platform terminated operations in several countries, including Kenya, Nigeria, and Pakistan, citing administrative and operational considerations. [ 49 ] Outlier [ edit ] Outlier is a separate contributor platform operated by Scale AI, designed for generative AI data work, particularly in the development and fine-tuning of LLMs. [ 8 ] Contributors on Outlier typ
查看原文片段
ant strategic expansion beyond data services. Donovan is a decision-support platform designed for government and defense customers, built on a large language model architecture deployed on secure classified networks. Scale signed a deal with the United States Army's XVIII Airborne Corps that made Donovan the first commercially developed large language model deployed on a classified military networ
查看原文片段
ke in Scale AI. CEO Alexandr Wang left Scale AI to join Meta and was replaced by Jason Droege. [ 15 ] History [ edit ] Early years (2016–2019) [ edit ] Scale was founded in 2016 by Alexandr Wang and Lucy Guo through Y Combinator . [ 16 ] The pair had worked together at Quora . [ 17 ] Initial investors of Scale included Dragoneer Investment Group , Tiger Global Management and Index Ventures . [ 18
查看原文片段
tion frameworks such as SWE-Atlas and Voice Showdown. [ 47 ] [ independent source needed ] Remotasks [ edit ] In 2017, Scale AI established Remotasks, a crowdworking platform to support the creation of labeled data for machine learning, particularly in areas such as computer vision and autonomous vehicles . [ 18 ] [ 48 ] [ 7 ] The subsidiary has facilities in Southeast Asia and Africa. [ 18 ] [ 48
查看原文片段
by Time on it’s Best Inventions of 2022 list. [ 27 ] The company also opened an office in St. Louis in that same year. [ 18 ] In January 2023, Scale laid off 20% of its workforce. [ 28 ] In May 2023, Scale AI signed a deal with the US Army ’s XVIII Airborne Corps , becoming the first AI company to deploy its LLM (known as Donovan) on a classified network. [ 17 ] In August 2023, Scale AI became Ope
查看原文片段
ation across supported tasks. Current API documentation identifies image annotation, video annotation, LiDAR segmentation and document transcription among the task types. This supplies a concrete technical operating boundary beyond a labor-only service, with the task schema and workflow defining how data is prepared and returned. A development team can submit the relevant task through the document
查看原文片段
step in U.S. military automation". [ 44 ] The project aims to use AI to “plan and help execute movements of ships, planes, and other assets”, with the goal of speeding up military decisions in both peace and wartime. The contract was awarded to Scale AI and other companies (such as Anduril Industries and Microsoft ) by the Defense Innovation Unit , and is intended to first be used with the USINDOP
查看原文片段
Scale AI | Wiki — Firm — The Economy Skip to main content Home Scale AI Institutional profile Scale AI Scale Data Engine provides platform-backed data annotation across supported tasks. Current API documentation identifies image annotation, video annotation, LiDAR segmentation and document transcription among the task types. Technology Overview Scale Data Engine provides platform-backed data annot
查看原文片段
venue driver, overtaking the company's original computer vision labeling work. Scale operates two primary contractor-facing platforms for its annotation workforce. Remotasks, established in 2017, originally handled computer vision and autonomous vehicle data labeling through facilities in the Philippines, Kenya, and other emerging markets. Outlier, launched as a separate platform, focuses on gener
查看原文片段
Series B in August 2018, raising 18 million dollars to broaden its annotation capabilities beyond autonomous driving into areas such as mapping, geospatial analytics, and general-purpose image classification . The pivotal moment in Scale's early growth came in August 2019, when Peter Thiel's Founders Fund led a 100-million-dollar Series C round that pushed the company's valuation past one billion
查看原文片段
Platforms]] (49%)<ref name=metadeal/>"},"subsidiaries":{"wt":"Remotasks<br/>Outlier"},"website":{"wt":"{{URL|https://scale.com}}"}},"i":0}}]}'> Scale AI, Inc. Type Private Industry Information technology Founded 2016 ; 10 years ago ( 2016 ) Founders Alexandr Wang Lucy Guo Headquarters San Francisco, California , United States Key people Francis deSouza (CEO) [ 1 ] Revenue $870 million (2024) [ 2 ]
查看原文片段
r LLMs. [ 8 ] Scale AI operates an LLM Red Team that conducts human adversarial testing to identify vulnerabilities , biases , and safety risks in AI models. The team has worked with OpenAI , Google DeepMind and national AI Safety Institutes to evaluate systems against complex threats, including cybersecurity vulnerabilities, jailbreaks , and agentic AI behaviors. Scale AI's customers in the comme
查看原文片段
going data program needs both a delivery operation and technical integration with the systems producing and consuming training data. Provider / operator: Scale AI Headquarters: San Francisco, California, United States Provider origins / establishment: 2016 Rankings and recognition — 2027 Recorded appearances in The Economy Rankings . Each entry concerns the assessed business, product, institution
查看原文片段
x Corporation and Koch Industries. In 2023, Scale also established the Safety, Evaluation, and Alignment Lab, known as SEAL, a research division focused on building evaluation frameworks for large language models. Under the leadership of Summer Yue, formerly the reinforcement learning from human feedback research lead for Bard at DeepMind , SEAL developed comprehensive evaluation benchmarks, red t
查看原文片段
Owners Meta Platforms (49%) [ 3 ] Number of employees 1,200 (2025) [ 4 ] Subsidiaries Remotasks Outlier Website scale .com Scale AI, Inc. is an American artificial intelligence infrastructure and software company based in San Francisco , California . Originally focused on data annotation , the company also offers RLHF services, large language model (LLM) evaluation, and enterprise software suites
查看原文片段
or workforce scope in the linked edition. Ranking Edition / classification Assessed scope Data Annotation & Labeling Platforms 2027 · Tier I · position 4 Scale AI Further reference Technology rankings The Economy Review Corrections and Updates Factual corrections, updated institutional information, and supporting references may be submitted through The Economy Portal . All proposed changes are sub
查看原文片段
model developers and autonomous vehicle companies to government agencies and enterprise organizations, though the composition of that base has shifted significantly following Meta's 2025 investment. In the autonomous driving sector, Scale established itself early as a critical infrastructure provider. Companies developing self-driving vehicles require enormous volumes of precisely labeled sensor
查看原文片段
by Alexandr Wang and Lucy Guo, the company provides data labeling , reinforcement learning from human feedback services, model evaluation, and enterprise AI platforms that underpin the development of many of the world's most prominent AI systems. Scale AI operates through a global workforce of over 240,000 contract annotators, managed via its subsidiary platforms Remotasks and Outlier, alongside a
查看原文片段
Scale AI - Learn AI Jump to content Learn AI Search Log in Personal tools Log in Scale AI From Learn AI Learn AI Companies Platforms and data Scale AI Scale AI Company Founded in 2016 Headquarters San Francisco Type Subsidiary Industry Artificial intelligence Scale AI is an American artificial intelligence infrastructure and data company headquartered in San Francisco, California. Founded in 2016
查看原文片段
s 2027 — Scale Data Engine . At a glance Headquarters San Francisco, California, United States Provider origins / establishment 2016 Contents Principal activities and assessed operations Rankings and recognition — 2027 Further reference Related Economy analysis Principal activities and assessed operations The category profiles below describe the named businesses, products, programmes or employee g
查看原文片段
to build and deploy AI applications. The company’s research arm, the Safety, Evaluation and Alignment Lab, focuses on evaluating and aligning LLMs. [ 5 ] It also co-created the benchmark Humanity's Last Exam . [ 6 ] Scale AI outsources data labeling through its subsidiaries, Remotasks, which focuses on computer vision and autonomous vehicles, [ 7 ] and Outlier, which focuses on annotating data fo
