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Scale

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uuid00000di

Namestring
Scale
Legal namestring
Scale AI, Inc.
Websiteurl
scale.com
Company typeenum
Private
Founded yearint
2016
Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1,001–5,000
akta.pro rankint
HeadquartersSan Francisco, United States
HQ citystring
San Francisco
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices3 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
AI data labeling, generative AI platform, model evaluation services, enterprise AI deployment, defense AI infrastructure
Industry5 codes
1AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs)
CodeHDAEANAJPrimaryYes
2Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs)
CodeHDAEANAHPrimaryNo
3AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety)
CodeHDAEANAFPrimaryNo
4AI/ML Engineering & Model Development Services
CodeBPAEAHAFPrimaryNo
5Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII)
CodeHDAEANAGPrimaryNo
NAICS code2 codes
  • Software Publishers513210
  • Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services51821
SIC code2 codes
  • Services-Prepackaged Software7372
  • Services-Computer Programming, Data Processing, Etc.7370
Product category
AI Data Infrastructure
Social media profiles3 records
GTM motion3 records

Each record includes

Type, Description, Source

Revenue model4 records
1Enterprise AI Platform and Services
TypeSubscription Recurring
Description

Scale provides AI infrastructure platforms including Data Engine, GenAI Platform, and Donovan to enterprise customers. Revenue generated through platform subscriptions and usage-based pricing for enterprise AI deployments.

businessoutreach.in
2Government and Defense Contracts
TypeManaged Services
Description

Scale AI holds significant government contracts including Pentagon agreements ($500M expanded from $100M), Department of Energy Genesis Mission partnership, and various defense agency engagements.

hpcwire.com
3Data Labeling and Annotation Services
TypeUsage Based
Description

Core data preparation and annotation services for AI model training, using distributed workforce of contributors with 25% having advanced degrees.

scale.com
4Model Evaluation and Benchmarking
TypeSubscription Recurring
Description

Scale Labs provides private benchmarks and evaluation services for AI companies, including leaderboards and expert-level evaluations.

webpronews.com
Marketing channels6 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels5 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Technology or R&D, Operations, Infrastructure, Marketing or Sales
Pricing details2 tiers
1Enterprise AI platform pricing
ModelSubscriptionBilling cadenceAnnual
Notes

Enterprise pricing for Scale GenAI Platform, Data Engine, and Donovan platforms is quote-based, tailored to organization size, data volume, and deployment requirements.

scale.com
2Government contract pricing
ModelSubscriptionBilling cadenceMulti-year contract
Notes

Pentagon contract through CDAO Production Other Transaction Authority allows Department of War components to initiate Project Agreements covering Scale's AI products without competitive solicitation.

hpcwire.com
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 of 6 records shown
1Scale Data Engine
Description

AI-native data layer platform for enterprise data

scale.com
+5 more records
Core offering1 text field

Scale AI provides an end-to-end AI data infrastructure platform that combines human-in-the-loop data labeling, model training, evaluation, and enterprise deployment. Its core offerings include the Scale Data Engine for high-quality training data generation, the Scale GenAI Platform for fine-tuning, testing, and deploying generative AI models, and Scale Donovan for government and defense AI applications. The platform processes multimodal data (text, image, video, audio, code, 3D point cloud) to power AI systems for enterprise, public sector, healthcare, and autonomous applications.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 4 values shown
  • 90% of world's leading generative AI model builders are powered by Scale
+3 more records
Product overview1 text field

Scale AI operates as a comprehensive AI infrastructure company offering a platform-plus-modules architecture centered around three core products: Scale Data Engine (for high-quality training data generation), Scale GenAI Platform (for generative AI deployment), and Scale Donovan (for government/defense applications). The portfolio includes specialized tools like Scale Nucleus for data curation, Scale LLM Test & Evaluation for model assessment, Dialect for AI-native enterprise data layers, Voice Showdown for voice AI benchmarking, and ChatLab for model evaluation. Solution-specific offerings target enterprise agentic deployments, public sector (US and global), healthcare, and insurance verticals. The platform processes text, images, video, audio, structured data, and code modalities, powering AI systems for autonomous vehicles, robotics, defense, healthcare, and eCommerce across 90% of the world's leading generative AI model builders.

Product and service14 records
1Scale Data Engine
CategoryData Infrastructure
Description

A comprehensive data infrastructure platform that sources human contributors (25% with advanced degrees) to generate high-quality training data for AI models. Powers data labeling, annotation, and curation across text, images, video, audio, and 3D point cloud data for frontier AI development. Used by enterprise AI teams and AI model builders.

2Scale GenAI Platform
CategoryGenerative AI Platform
Description

A comprehensive platform for building and deploying generative AI applications, providing fine-tuning, RLHF (Reinforcement Learning from Human Feedback), testing and evaluation, and enterprise deployment capabilities. Supports organizations in adopting LLMs in production with tools for model customization and monitoring.

3Scale Donovan
CategoryGovernment/Defense AI
Description

An AI platform designed for U.S. government and defense applications, providing secure AI deployment for intelligence and military operations across NIPR, SIPR, and JWICS networks. Supports the Department of Defense's goal of enterprise-wide AI adoption.

4Scale Nucleus
CategoryData Management
Description

A data management and curation platform for computer vision applications, enabling users to identify points of failure and rare edge cases to optimize model performance. Integrates with SiaSearch technology for fast search across video and LiDAR datasets.

5Scale LLM Test & Evaluation
CategoryModel Evaluation
Description

A platform for comprehensive model monitoring, evaluation, and red teaming of large language models. Provides model certification, regression testing, exploratory evaluation, and expert human red teaming capabilities for AI safety assessment.

6Enterprise Agentic Solutions
CategoryEnterprise AI Services
Description

AI deployment solutions for enterprise organizations that find the right use case, build the system, and own the outcome. Includes forward-deployed engineers for enterprise AI implementation.

7US Public Sector Solutions
CategoryGovernment/Defense AI
Description

AI infrastructure solutions for U.S. government agencies, including defense, intelligence, and federal civilian applications. Supports Pentagon's CDAO with enterprise agreements and Project Thunderforge.

8Global Public Sector Solutions
CategoryGovernment/Defense AI
Description

AI deployment solutions for international government and defense organizations, including partnerships with allied nations for defense AI applications.

9Healthcare AI Solutions
CategoryHealthcare AI
Description

AI solutions for healthcare organizations including clinical intelligence, physician cognitive load reduction, and healthcare-specific data processing and annotation.

10Insurance AI Solutions
11Dialect AI-Native Data Layer
CategoryEnterprise Data Infrastructure
Description

An AI-native data layer that transforms fragmented enterprise information (databases, PDFs, wikis, ticketing systems) into a coherent, semantically connected environment that AI agents can understand and operate within, powered by a semantic layer that preserves meaning, relationships, and provenance.

12Voice Showdown
CategoryAI Benchmarking
Description

A global preference-based benchmarking platform for evaluating voice AI models through real human speech and blind comparisons across 60+ languages, revealing capability gaps and multilingual performance disparities.

13ChatLab
CategoryAI Evaluation Platform
Description

Scale AI's model-agnostic chat platform with over 500,000 annotators, providing free access to frontier voice models in exchange for blind preference votes and supporting Voice Showdown evaluations.

14Scale Labs
CategoryAI Research
Description

Research division conducting frontier AI research, including the Scale Labs leaderboard for private benchmarks and evaluation of AI model capabilities across various domains.

Scale indicator11 records

Each record includes

Type, Value, Description, Source

Partnership8 partners
Strategic tierCoreTypeStrategic or Co-development Partner
Description

Scale AI and Universal Robots launched UR AI Trainer at NVIDIA GTC 2026, an imitation learning system that enables industrial robots to learn tasks by observing human operators. The system captures synchronized motion, force, and visual data to train Vision-Language-Action models, bridging the lab-to-factory gap.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

BAE Systems and Scale AI announced strategic partnership to deploy agentic AI capabilities across U.S. Department of War platforms. Collaboration combines BAE's defense operations expertise with Scale's agentic AI suite including Data Engine and Generative AI Platform for combat vehicles and deterrence programs.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Scale AI signed MOU with Department of Energy to support Genesis Mission, a collaborative AI-for-science initiative bringing together national labs and advanced computing environments. Partnership aims to address data bottlenecks preventing full AI integration in scientific research.

Strategic tierFlagshipTypeStrategic or Co-development Partner
Description

Pentagon/CDAO expanded enterprise agreement with Scale AI from $100M to $500M. Production Other Transaction Authority agreement allows any Department of War component to initiate Project Agreements covering Scale's AI products including Data Engine, GenAI Platform, and Donovan.

Strategic tierCoreTypeTechnology or Integration
Description

Physical Intelligence partners with Scale AI for real-world training data to fuel robotic foundation models. Scale provides data collection and annotation infrastructure for physical AI development.

Strategic tierCoreTypeChannel Partner/ Reseller/ Distributor
Description

Scale AI's GenAI platform and Test & Evaluation capabilities added to Carahsoft's GSA Schedule contract, enabling streamlined procurement by federal agencies. Supports OMB mandates M-25-21 and M-25-22.

Strategic tierMinorTypeStrategic or Co-development Partner
Description

Scale AI is part of technology consortium developing software layer for Trump's $185 billion Golden Dome missile defense project, alongside Palantir and Anduril Industries.

Strategic tierMinorTypeStrategic or Co-development Partner
Description

Scale AI part of consortium with Anduril and Palantir developing software for Golden Dome antimissile shield initiative.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight7 records

Each record includes

Type, Description

Peers10 records
TypeBroad incumbent
Description

Hyperscaler offering a managed data labeling service within SageMaker, providing a bundled alternative to Scale Data Engine for enterprise ML teams already on AWS.

TypeDirect peer
Description

A leading direct competitor in AI data labeling and RLHF annotation services, targeting many of the same frontier model builders and enterprise AI teams that Scale serves.

TypeDirect peer
Description

Provides an enterprise data labeling and annotation platform with strong overlap to Scale Data Engine and Nucleus, serving computer vision and generative AI use cases.

TypeDirect peer
Description

Data-centric AI platform focused on programmatic labeling and weak supervision, addressing similar enterprise AI training-data workflows as Scale's Data Engine.

TypeBroad incumbent
Description

Large incumbent in training data and human-annotated datasets for ML, offering comparable data labeling services across many of the same enterprise and government buyers.

TypeBroad incumbent
Description

Broad data and AI platform whose Mosaic AI stack and Unity Catalog overlap with Scale's enterprise AI data infrastructure ambitions, particularly around Dialect and GenAI Platform.

TypeBroad incumbent
Description

Defense and enterprise data analytics incumbent; a Golden Dome consortium partner with Scale but also a potential competitor for government AI data and decision-support workloads.

TypeBroad incumbent
Description

Defense technology company co-selected with Scale for the Golden Dome consortium; an emerging defense AI platform that competes and partners in the same national-security AI space.

TypeEmerging player
Description

Focused computer vision data platform and annotation tooling that competes with Scale Nucleus in vision-specific data management and labeling.

TypeBroad incumbent
Description

Enterprise AI platform with overlapping positioning on agentic and generative AI deployment, competing for the same enterprise AI productionization budget as Scale's GenAI Platform.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat7 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers14 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment7 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile4 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

AI capability16 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature9 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles8 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

Subsidiaries1 record

Each record includes

Name, Acquired on, Relationship type, Type, Business focus

No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds10 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors40 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A3 records

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment2 records

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Scale

AI Data Infrastructurescale.com

Scale firmographics

Firmographics
Name
Scale
Legal name
Scale AI, Inc.
Website
https://scale.com
Company type
Private
Founded year
2016
Operating status
Operating
Headcount range
1,001–5,000 employees
Ownership category
akta.pro rank

Scale industry classification

Industry
Product category
AI Data Infrastructure
NAICS
Software Publishers (513210), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)
SIC
Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
akta.pro primary industry
AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)
akta.pro secondary industries
Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH), AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF), AI/ML Engineering & Model Development Services (BPAEAHAF), Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG)

Keywords

  • AI data labeling
  • Generative AI platform
  • Model evaluation services
  • Enterprise AI deployment
  • Defense AI infrastructure

Where Scale is headquartered

Location

Headquarters

HQ city
San Francisco
HQ country
United States
HQ region
North America

Offices3 records

Markets served

Scale business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel, Technology or R&D, Operations, Infrastructure, Marketing or Sales

Revenue model

  1. Enterprise AI Platform and Services: Scale provides AI infrastructure platforms including Data Engine, GenAI Platform, and Donovan to enterprise customers. Revenue generated through platform subscriptions and usage-based pricing for enterprise AI deployments.
  2. Government and Defense Contracts: Scale AI holds significant government contracts including Pentagon agreements ($500M expanded from $100M), Department of Energy Genesis Mission partnership, and various defense agency engagements.
  3. Data Labeling and Annotation Services: Core data preparation and annotation services for AI model training, using distributed workforce of contributors with 25% having advanced degrees.
  4. Model Evaluation and Benchmarking: Scale Labs provides private benchmarks and evaluation services for AI companies, including leaderboards and expert-level evaluations.

Pricing tiers

ModelBillingPrice
SubscriptionAnnualEnterprise AI platform pricing
SubscriptionMulti-year contractGovernment contract pricing

Go-to-market motion3 records

Distribution channels5 records

Marketing channels6 records

Scale product offering

Product offering

Core offering

Scale AI provides an end-to-end AI data infrastructure platform that combines human-in-the-loop data labeling, model training, evaluation, and enterprise deployment. Its core offerings include the Scale Data Engine for high-quality training data generation, the Scale GenAI Platform for fine-tuning, testing, and deploying generative AI models, and Scale Donovan for government and defense AI applications. The platform processes multimodal data (text, image, video, audio, code, 3D point cloud) to power AI systems for enterprise, public sector, healthcare, and autonomous applications.

Product overview

Scale AI operates as a comprehensive AI infrastructure company offering a platform-plus-modules architecture centered around three core products: Scale Data Engine (for high-quality training data generation), Scale GenAI Platform (for generative AI deployment), and Scale Donovan (for government/defense applications). The portfolio includes specialized tools like Scale Nucleus for data curation, Scale LLM Test & Evaluation for model assessment, Dialect for AI-native enterprise data layers, Voice Showdown for voice AI benchmarking, and ChatLab for model evaluation. Solution-specific offerings target enterprise agentic deployments, public sector (US and global), healthcare, and insurance verticals. The platform processes text, images, video, audio, structured data, and code modalities, powering AI systems for autonomous vehicles, robotics, defense, healthcare, and eCommerce across 90% of the world's leading generative AI model builders.

Differentiator

Problem solved

Functional benefit

Brands

  • Scale Data Engine: AI-native data layer platform for enterprise data
  • Scale GenAI Platform
  • Scale Donovan
  • Voice Showdown
  • Dialect
  • Scale Labs

Products and services

  • Scale Data Engine A comprehensive data infrastructure platform that sources human contributors (25% with advanced degrees) to generate high-quality training data for AI models. Powers data labeling, annotation, and curation across text, images, video, audio, and 3D point cloud data for frontier AI development. Used by enterprise AI teams and AI model builders.
  • Scale GenAI Platform A comprehensive platform for building and deploying generative AI applications, providing fine-tuning, RLHF (Reinforcement Learning from Human Feedback), testing and evaluation, and enterprise deployment capabilities. Supports organizations in adopting LLMs in production with tools for model customization and monitoring.
  • Scale Donovan An AI platform designed for U.S. government and defense applications, providing secure AI deployment for intelligence and military operations across NIPR, SIPR, and JWICS networks. Supports the Department of Defense's goal of enterprise-wide AI adoption.
  • Scale Nucleus A data management and curation platform for computer vision applications, enabling users to identify points of failure and rare edge cases to optimize model performance. Integrates with SiaSearch technology for fast search across video and LiDAR datasets.
  • Scale LLM Test & Evaluation A platform for comprehensive model monitoring, evaluation, and red teaming of large language models. Provides model certification, regression testing, exploratory evaluation, and expert human red teaming capabilities for AI safety assessment.
  • Enterprise Agentic Solutions AI deployment solutions for enterprise organizations that find the right use case, build the system, and own the outcome. Includes forward-deployed engineers for enterprise AI implementation.
  • US Public Sector Solutions AI infrastructure solutions for U.S. government agencies, including defense, intelligence, and federal civilian applications. Supports Pentagon's CDAO with enterprise agreements and Project Thunderforge.
  • Global Public Sector Solutions AI deployment solutions for international government and defense organizations, including partnerships with allied nations for defense AI applications.
  • Healthcare AI Solutions AI solutions for healthcare organizations including clinical intelligence, physician cognitive load reduction, and healthcare-specific data processing and annotation.
  • Insurance AI Solutions
  • Dialect AI-Native Data Layer An AI-native data layer that transforms fragmented enterprise information (databases, PDFs, wikis, ticketing systems) into a coherent, semantically connected environment that AI agents can understand and operate within, powered by a semantic layer that preserves meaning, relationships, and provenance.
  • Voice Showdown A global preference-based benchmarking platform for evaluating voice AI models through real human speech and blind comparisons across 60+ languages, revealing capability gaps and multilingual performance disparities.
  • ChatLab Scale AI's model-agnostic chat platform with over 500,000 annotators, providing free access to frontier voice models in exchange for blind preference votes and supporting Voice Showdown evaluations.
  • Scale Labs Research division conducting frontier AI research, including the Scale Labs leaderboard for private benchmarks and evaluation of AI model capabilities across various domains.

Quantifiable outcome

  • 90% of world's leading generative AI model builders are powered by Scale
  • +3 more outcomes

Companies that use Scale

Customer profile

Named customers14 records

Segments7 records

Ideal customer profiles4 records

Scale technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

AI capability16 records

Feature9 records

Scale partnerships and signals

Strategic signal

Partnerships

Eight partnerships are on record, tiered core, flagship and minor.

  • Universal RobotscoreStrategic or Co-development PartnerScale AI and Universal Robots launched UR AI Trainer at NVIDIA GTC 2026, an imitation learning system that enables industrial robots to learn tasks by observing human operators. The system captures synchronized motion, force, and visual data to train Vision-Language-Action models, bridging the lab-to-factory gap.
  • BAE SystemscoreStrategic or Co-development PartnerBAE Systems and Scale AI announced strategic partnership to deploy agentic AI capabilities across U.S. Department of War platforms. Collaboration combines BAE's defense operations expertise with Scale's agentic AI suite including Data Engine and Generative AI Platform for combat vehicles and deterrence programs.
  • U.S. Department of EnergycoreStrategic or Co-development PartnerScale AI signed MOU with Department of Energy to support Genesis Mission, a collaborative AI-for-science initiative bringing together national labs and advanced computing environments. Partnership aims to address data bottlenecks preventing full AI integration in scientific research.
  • U.S. Department of Defense (CDAO)flagshipStrategic or Co-development PartnerPentagon/CDAO expanded enterprise agreement with Scale AI from $100M to $500M. Production Other Transaction Authority agreement allows any Department of War component to initiate Project Agreements covering Scale's AI products including Data Engine, GenAI Platform, and Donovan.
  • Physical IntelligencecoreTechnology or IntegrationPhysical Intelligence partners with Scale AI for real-world training data to fuel robotic foundation models. Scale provides data collection and annotation infrastructure for physical AI development.
  • CarahsoftcoreChannel Partner/ Reseller/ DistributorScale AI's GenAI platform and Test & Evaluation capabilities added to Carahsoft's GSA Schedule contract, enabling streamlined procurement by federal agencies. Supports OMB mandates M-25-21 and M-25-22.
  • PalantirminorStrategic or Co-development PartnerScale AI is part of technology consortium developing software layer for Trump's $185 billion Golden Dome missile defense project, alongside Palantir and Anduril Industries.
  • Anduril IndustriesminorStrategic or Co-development PartnerScale AI part of consortium with Anduril and Palantir developing software for Golden Dome antimissile shield initiative.

Scale indicators11 records

Recent moves6 records

Expansion highlights7 records

Scale competitors and assessment

Company assessment

Broad incumbents

  • AWS (Amazon SageMaker Ground Truth): Hyperscaler offering a managed data labeling service within SageMaker, providing a bundled alternative to Scale Data Engine for enterprise ML teams already on AWS.
  • Appen: Large incumbent in training data and human-annotated datasets for ML, offering comparable data labeling services across many of the same enterprise and government buyers.
  • Databricks: Broad data and AI platform whose Mosaic AI stack and Unity Catalog overlap with Scale's enterprise AI data infrastructure ambitions, particularly around Dialect and GenAI Platform.
  • Palantir Technologies: Defense and enterprise data analytics incumbent; a Golden Dome consortium partner with Scale but also a potential competitor for government AI data and decision-support workloads.
  • Anduril Industries: Defense technology company co-selected with Scale for the Golden Dome consortium; an emerging defense AI platform that competes and partners in the same national-security AI space.
  • DataRobot: Enterprise AI platform with overlapping positioning on agentic and generative AI deployment, competing for the same enterprise AI productionization budget as Scale's GenAI Platform.

Direct peers

  • Surge AI: A leading direct competitor in AI data labeling and RLHF annotation services, targeting many of the same frontier model builders and enterprise AI teams that Scale serves.
  • Labelbox: Provides an enterprise data labeling and annotation platform with strong overlap to Scale Data Engine and Nucleus, serving computer vision and generative AI use cases.
  • Snorkel AI: Data-centric AI platform focused on programmatic labeling and weak supervision, addressing similar enterprise AI training-data workflows as Scale's Data Engine.

Emerging players

  • Roboflow: Focused computer vision data platform and annotation tooling that competes with Scale Nucleus in vision-specific data management and labeling.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat7 records

Key risks6 records

Key highlights7 records

Customer concentration

Scale social profiles

Digital presence

Scale financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Scale leadership team

Management profile

Number of profiles

Profiles8 records

Scale subsidiaries and ownership

Company hierarchy

Subsidiaries1 record

Scale funding detail

Funding detail

Funding overview

Funding rounds10 records

Investors40 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Scale M&A and investment

M&A and investment

M&A3 records

Investments2 records

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Scale

What does Scale do?

Scale AI provides an end-to-end AI data infrastructure platform that combines human-in-the-loop data labeling, model training, evaluation, and enterprise deployment. Its core offerings include the Scale Data Engine for high-quality training data generation, the Scale GenAI Platform for fine-tuning, testing, and deploying generative AI models, and Scale Donovan for government and defense AI applications. The platform processes multimodal data (text, image, video, audio, code, 3D point cloud) to power AI systems for enterprise, public sector, healthcare, and autonomous applications.

Is Scale a public or private company?

Scale is a private company. It is classified as corporate owned and is currently operating.

When was Scale founded?

Scale was founded in 2016. It employs 1,001 to 5,000 people.

Where is Scale based?

Scale is headquartered in San Francisco, United States, in the North America region.

How does Scale make money?

Four revenue lines are on record. Enterprise AI Platform and Services are the primary driver. The others are government and Defense Contracts, data Labeling and Annotation Services and model Evaluation and Benchmarking.

Who are Scale's main competitors?

Broad incumbents on record are AWS (Amazon SageMaker Ground Truth), Appen, Databricks, Palantir Technologies, Anduril Industries and DataRobot. Direct peers are Surge AI, Labelbox and Snorkel AI. Roboflow is listed as an emerging player.

Does Scale have an API?

Yes. Scale offers API access through its Scale GenAI Platform and Scale LLM Test & Evaluation platform. Developers can access models via APIs for tasks including fine-tuning, testing, evaluation, and data processing. The Scale Spellbook platform provides API access for model prompting and evaluation workflows. API access appears to be enterprise and partner-facing rather than publicly documented for general developers. Developer documentation is at docs.scale.com.

What industry is Scale in?

Scale's product category is AI Data Infrastructure. Its primary akta.pro industry code is HDAEANAJ, AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs), with a secondary code of HDAEANAH, Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs). Its NAICS code is 513210 and its SIC code is 7372.

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Live signals
Business InsiderWhat Alexandr Wang says he learned from Mark Zuckerberg's 'really long' WhatsApp DMsAlexandr Wang said Mark Zuckerberg wrote unusually long WhatsApp responses, which he found impressive. Wang later joined Meta to lead AI agent efforts, and their conversations led to Meta's 49% stake in Scale AI. He noted Zuckerberg's ruthless prioritization and willingness to seek feedback from entrepreneurs.PRESSBEEAI Chatbots Often Fail To Help Users in Mental-Health Crisis ...Middle EastScale AI research found that AI chatbots often fail to refer users in mental-health crises to helpful resources, such as suicide hotlines, in about 35% of test conversations. The study tested 25 frontier models and developed DistressBench to evaluate responses to suicidal or self-harm talk. The findings highlight a need for improved model performance in long, multi-turn conversations.TimeAI Chatbots Often Fail To Help Users in Mental-Health CrisisScale AI research found that AI chatbots often fail to refer distressed users to help, missing in about 35% of test conversations. The study tested 25 models on 718 crisis scenarios, and Scale AI developed DistressBench to evaluate responses. The company urges labs to improve models to reduce harm.YahooAI Chatbots Often Fail To Help Users in Mental-Health CrisisScale AI research found that AI chatbots often fail to refer distressed users to help, missing in about 35% of test conversations. The study tested 25 models and developed DistressBench to evaluate responses to suicidal or self-harm talk. Scale AI says models are better but need improvement to reduce harm.WikipediaHumanity's Last ExamHumanity's Last Exam is a 2,500-question benchmark released in January 2025 by the Center for AI Safety and Scale AI. It includes graduate-level questions across subjects, with 24% multiple-choice and 14% multi-modal. A FutureHouse investigation found about 30% of chemistry and biology answers incorrect, prompting a rolling update.AInvestThe AI Safety Stock Pitch That Doesn't Hold UpAnthropic and Accenture each committed $1 billion over five years to build embedded AI safety evaluators, totaling $2 billion. The investment, led by Accenture's Faculty unit, represents 0.1% of Accenture's revenue and has not reversed its 32% year-to-date stock decline. The real market impact is proving AI labs will fund safety evaluation, with direct exposure limited to Accenture and future-public Scale AI.Unite.AIScale AI Reports ROK-FORTRESS Findings on Multilingual AI SafetyScale AI published ROK-FORTRESS findings showing Korean prompts and Korean grounding reduced harm across 14 frontier models, with English prompts highest risk. The effect of Korean language was about 2.5 times larger than U.S. to Korean grounding, and Korean-specialized models were more likely to comply. Further testing is needed for other languages.ChinaventureThe 'pocket money' of 500,000 people is gone.Amazon announced the shutdown of Mechanical Turk, its 21-year-old data labeling platform, effective September 30, 2026. The platform, which had over 500,000 workers, is being replaced by professional data labeling firms like Scale AI and Mercor, which have higher valuations. The article notes that AI now performs many labeling tasks, reducing demand for such workers.Scale AIALIF: Building AI Fluency, One Cohort at a TimeScale AI launched ALIF, a government AI training program, in Qatar in December 2025. Between January and June 2026, it delivered 15 cohorts, upskilling 240 professionals, with average assessment scores rising from 57% to 77%. Advanced modules and a self-paced LMS are planned for 2026.ExameQuem é Alexandr Wang, o jovem que vendeu 49% da Scale AI para a Meta por US$ 14,3 bilhõesMeta acquired a 49% stake in Scale AI for $14.3 billion, valuing the company at approximately $29 billion. As part of the agreement, founder Alexandr Wang stepped down as CEO to lead Meta's artificial intelligence strategy under its new Superintelligence Labs division. The transaction highlights the strategic importance of data labeling infrastructure in the development of advanced AI models.