Overview
Summary
The useful answer before the supporting detail.
Scale Evaluation is a platform for analyzing model performance, identifying weaknesses, and improving model quality S21. It is designed for frontier model developers to understand, analyze, and iterate on their models by providing detailed breakdowns of LLMs across performance and safety S21. The platform offers high-quality evaluation sets across domains and capabilities to ensure accurate model assessments without overfitting S21, and a user-friendly interface for analyzing and reporting on model performance S21.
Product identity and positioning
Name, category, positioning, audience, and first-party claims.
- Identity: Scale Evaluation, a platform for AI model evaluation by Scale AI S21.
- Core purpose: Helps model developers understand, analyze, and iterate on LLM performance and safety S21.
- Intended users: Frontier model developers S21.
- Product scope: A platform for analyzing model performance, identifying weaknesses, and improving model quality S21.
- Positioning: Reliable and robust performance management S21.
- Claimed distinction: High-quality evaluation sets across domains and capabilities ensure accurate assessments without overfitting S21.
Use cases and audiences
Who the product serves and the jobs it is designed to handle.
Traffic and search
SEO analysis
Collected Oct 21, 2026scale.com: an estimated 548,230 total monthly visits and about 130,768 monthly organic visits across 4,467 ranking keywords. Scout crawled 15 pages and measured a technical health score of 97/100.
Search summary
The useful answer before the supporting detail.
Scale delivers proven data, evaluations, and outcomes to AI labs, governments, and the Fortune 500. scale.com: an estimated 548,230 total monthly visits and about 130,768 monthly organic visits across 4,467 ranking keywords. Scout crawled 15 pages and measured a technical health score of 97/100.
- Total traffic (modeled): 548,230 monthly visits across all channels.
- Organic search traffic (estimated): 130,768 monthly visits from search.
- Strongest sampled ranking: ai scales at position 1.
- Leading page in the collected evidence: https://scale.com/.
- Closest measured organic competitor: openai.com, appearing 1 times in the sampled first-page SERPs.
- Technical crawl: 15 pages, health score 97/100.
Website intelligence — Collected evidence
Company identity and positioning
| Page type | Evidence | Source |
|---|---|---|
| other | Scale delivers proven data, evaluations, and outcomes to AI labs, governments, and the Fortune 500. | https://scale.com/ |
| other | For Enterprise | https://scale.com/ |
| other | ](/customers/time) | https://scale.com/ |
| other | Enabling scalable, real-world Physical AI for industrial robotics. | https://scale.com/ |
| other | Center for AI Safety | https://scale.com/ |
| other | Enabling smarter, more personalized learning experiences for students and educators at scale. | https://scale.com/ |
| other | We set the benchmark for what’s possible with AI | https://scale.com/ |
| other | Our leaderboards run private benchmarks for the most ambitious AI companies to improve model capabilities. | https://scale.com/ |
| other | Mayo Clinic + Scale: Reliable AI for Better Healthcare | https://scale.com/ |
| other | Book a demo today and see how Scale can build reliable AI for your organization. | https://scale.com/ |
| other | Scale GenerativeAI Portfolio gives teams the tools to build, deploy, and continuously improve agents that reason over your data, run reliably at scale, and get smarter every time they're used. | https://scale.com/genai-portfolio |
| other | Most teams stitch together various tools and call it a stack. SGP gives you a unified foundation – from data pipelines to live agent monitoring – built to work cohesively from day one. | https://scale.com/genai-portfolio |
Domain performance
Modeled total traffic, six-month trend, engagement, countries, and domain identity.
Total website traffic
| Month | Modeled visits |
|---|---|
| 2026-04 | 638,396 |
| 2026-05 | 624,660 |
| 2026-06 | 605,673 |
| 2026-07 | 595,615 |
| 2026-08 | 569,865 |
| 2026-09 | 548,230 |
Top visitor countries
| Country | Name | Traffic share |
|---|---|---|
| US | United States | 38.5% |
| IN | India | 6.7% |
| VN | Vietnam | 5.0% |
| MX | Mexico | 4.9% |
| GB | United Kingdom | 4.8% |
Domain identity
| Signal | Value |
|---|---|
| Registered | Dec 29, 1997 |
| Last changed | May 16, 2026 |
| Expires | Nov 6, 2030 |
| WHOIS server | whois.verisign-grs.com |
| DNSSEC | Signed |
| Nameservers | HUGH.NS.CLOUDFLARE.COM, PAM.NS.CLOUDFLARE.COM |
Website capture

Organic keywords
Top keywords and an independent Google result page.
Top organic keywords
| Keyword | Volume | CPC | Estimated value |
|---|---|---|---|
| scale ai | 135,360 | $2.07 | $104,790 |
| scale | 113,580 | $0.73 | $9,010 |
| scale ai careers | 8,870 | $3.17 | $7,980 |
| scaleai | 9,500 | $2.43 | $6,900 |
| scale labs | 5,820 | $0.83 | $3,010 |
Independent Google result page
Query: ai scales
| Position | Title | URL | Description |
|---|---|---|---|
| 1 | Scale: Reliable AI Systems for Critical Decisions | https://scale.com/ | Scale delivers proven data, evaluations, and outcomes to AI labs, governments, and the Fortune 500. |
| 2 | Scale AI | https://www.linkedin.com/company/scaleai | The Scale Generative AI Platform allows customers to build, evaluate, and control advanced AI agents and applications that continuously improve. The Scale Data ... |
| 3 | Scale AI | https://en.wikipedia.org/wiki/Scale_AI | Scale AI, Inc. is an American artificial intelligence infrastructure and software company based in San Francisco, California. Originally focused on data ... |
| 4 | Scale AI: Data-centric infrastructure to accelerate the ... | https://www.ycombinator.com/companies/scale-ai | Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. |
| 5 | [D] Scale AI- what separates them, and why are they worth ... | https://www.reddit.com/r/MachineLearning/comments/g6r0yv/d_scale_ai_what_separates_them_and_why_are_they/ | I recently heard of Scale AI , and overall I am confused. From what I understand, they help you create training data by providing accurate labels ... |
| 6 | How To Scale AI In Your Organization | https://www.ibm.com/think/topics/ai-scaling | Scaling AI involves expanding the use of machine learning (ML) and AI algorithms to perform day-to-day tasks efficiently and effectively, matching the pace of ... |
| 7 | The AI Assessment Scale: Reflecting on AI in Assignment ... | https://teaching.center.uiowa.edu/ai-assessment-scale-reflecting-ai-assignment-design | The AI Assessment Scale (AIAS) is a framework designed to help instructors consider the role of AI in their assignments and communicate expectations to students ... |
| 8 | What is AI Scaling? | https://aws.amazon.com/what-is/ai-scaling/ | Scaling AI is increasing AI utilization and scope across all aspects of an organization's operations to maximize business value. |
| 9 | Scale AI (@scale_AI) / X | https://x.com/scale_AI?lang=en | Welcome to the home of all things @scale_AI research — focused on data, evaluation, safety, and post-training that moves frontier models forward. We'll share ... |
Important pages
Pages earning the most estimated search traffic in the sample.
| URL | Ranking keywords | Estimated traffic | Best position |
|---|---|---|---|
| https://scale.com/ | 5 | 15,133.1 | 1 |
| https://scale.com/careers | 1 | 2,006.4 | 1 |
| https://scale.com/data-engine | 2 | 158.1 | 1 |
| https://labs.scale.com/leaderboard/mcp_atlas | 1 | 145.9 | 1 |
| https://scale.com/data-partnership | 1 | 42.6 | 1 |
| https://scale.com/genai-portfolio | 1 | 33.4 | 1 |
| https://hfc.scale.com/ | 2 | 33.4 | 1 |
| https://scale.com/careers/4673051005 | 1 | 21.3 | 1 |
| https://labs.scale.com/leaderboard/hil | 1 | 21.3 | 1 |
| https://llm-engine.scale.com/ | 1 | 21.3 | 1 |
Website intelligence — Collected evidence
Prioritized website intelligence pages
| Type | Page | Words | Change | URL |
|---|---|---|---|---|
| other | Scale: Reliable AI Systems for Critical Decisions | 458 | new | https://scale.com/ |
| pricing | Scale AI submitted our response to the AI Action Plan \ | playwright | 1,059 | new |
| other | Scale GenAI Portfolio \ | static | 1,240 | new |
| features | Agentic Solutions for Enterprise \ | playwright | 989 | new |
| integrations | Getting Started with Scale - Scale Documentation | 152 | new | https://scale.com/docs |
| customers | Customer Success Story: TIME \ | static | 1,082 | new |
| customers | Customer Success Story: TIME \ | static | 1,082 | new |
| trust | Security at Scale.com \ | static | 435 | new |
| trust | Scalable CV Models for Perimeter Security \ | static | 2,058 | new |
| trust | Modern Slavery Statement \ | static | 1,194 | new |
| trust | Scale Privacy Policy \ | static | 3,975 | new |
| trust | Scale Website Terms and Conditions \ | static | 1,662 | new |
| trust | Decision-Ready AI \ | static | 750 | new |
Features
| Page type | Evidence | Source |
|---|---|---|
| features | Scale Partners With NVIDIA to Bring Nemotron to EnterprisesLearn more | https://scale.com/enterprise |
| features | ](https://dashboard.scale.com/login)[ | https://scale.com/enterprise |
| features | Schedule a consult | https://scale.com/enterprise |
| features | Infrastructure | https://scale.com/enterprise |
| features | Life Science | https://scale.com/enterprise |
| features | Scale bridges the gap between AI models & business outcomes | https://scale.com/enterprise |
| features | By connecting your data and models with tangible human feedback, we create workflows into systems that continuously improve over time. | https://scale.com/enterprise |
| features | Your experts, amplified. Your limits, redefined. | https://scale.com/enterprise |
| features | Beyond "Out-of-the-Box": Why Enterprises Need Specialized RL Agents | https://scale.com/enterprise |
| features | ](/blog/enterprise-rl-agents) | https://scale.com/enterprise |
| features | How Morgan Stanley deploys AI that actually works (hint: it's evals) \ | playwright |
| features | ](/blog/hitl-ep13-ai-evals-in-practice) | https://scale.com/enterprise |
| features | Turn Insurance Documents Into Intelligence | https://scale.com/enterprise |
| features | ](/enterprise/insurance) | https://scale.com/enterprise |
| features | Reliable AI for the Future of Healthcare | https://scale.com/enterprise |
| features | ](/enterprise/healthcare) | https://scale.com/enterprise |
| features | Trusted by the world's most ambitious enterprises. | https://scale.com/enterprise |
| features | Real customers, real results. | https://scale.com/enterprise |
| features | faster contract reviews for legal clients (15 hours > 1 hour) | https://scale.com/enterprise |
| features | revenue growth after implementing Gen AI recommendations. | https://scale.com/enterprise |
Pricing and plans
| Page type | Evidence | Source |
|---|---|---|
| pricing | Scale AI’s Proposal for the U.S. AI Action Plan | https://scale.com/blog/scale-ai-action-plan |
| pricing | In response to the White House’s Request for Information on an AI Action Plan, Scale submitted recommendations.pdf) to the Office of Science and Technology Policy (OSTP). To ensure America maintains a leadership position on AI, the United States must take bold steps. Scale believes the path forward must include decisive action on these four main pillars – Protect, Promote, Unleash, and Innovate. | https://scale.com/blog/scale-ai-action-plan |
| pricing | Promote: Effective tech diplomacy heavily relies on the access and adoption of U.S. technology by our allies. Over the past few years, the United States has simply not prioritized the promote aspect nearly as much as the protect aspect. But if our nation is to fulfill President Trump’s vision of United States technological dominance this must change. In the coming year, countries around the world may be forced to effectively choose between whether they want to use Western technology or Chinese technology. We have already seen examples of this choice and, in Scale’s experience, it’s clear that countries want to leverage the United States technology. However, when asking countries to make this choice, we believe, the United States must also provide those countries full access to U.S. technology to ensure effective alignment. | https://scale.com/blog/scale-ai-action-plan |
Integrations and supported platforms
| Page type | Evidence | Source |
|---|---|---|
| integrations | > ## Documentation Index | https://scale.com/docs |
| integrations | > Fetch the complete documentation index at: /llms.txt | https://scale.com/docs |
| integrations | > Use this file to discover all available pages before exploring further. | https://scale.com/docs |
| integrations | [Skip to main content](#content-area) | https://scale.com/docs |
| integrations | Scale Documentation home pagelight logodark logo | https://scale.com/docs |
| integrations | Ctrl KAsk AssistantCtrl+I | https://scale.com/docs |
| integrations | Getting Started with Scale | https://scale.com/docs |
| integrations | [Documentation | https://scale.com/docs |
| integrations | ](/docs)[API Reference | https://scale.com/docs |
| integrations | ](/docs/api-reference/introduction-to-scale-api) | https://scale.com/docs |
| integrations | Scale AI’s mission is to accelerate the development of AI applications. To enable teams to make faster progress, we began with data - the foundation of all AI applications. Scale AI turns raw data into high-quality training data by combining machine learning powered pre-labeling and active tooling with varying levels and types of human review. | https://scale.com/docs |
| integrations | ](#getting-started-with-scale) | https://scale.com/docs |
| integrations | Documentation | https://scale.com/docs |
| integrations | Guides, workflows, and product documentation. | https://scale.com/docs |
| integrations | ](/docs/genai-data-engine) | https://scale.com/docs |
| integrations | API Reference | https://scale.com/docs |
| integrations | API concepts and endpoint reference documentation. | https://scale.com/docs |
| integrations | Responses are generated using AI and may contain mistakes. | https://scale.com/docs |
Product and company updates
No supporting public-page evidence was collected for this category.
Rank tracking
Persistent keyword baselines and position movement.
This analysis created the first position baseline at 2026-10-21T20:03:15.732Z. Movement appears after the next fresh analysis using the same location and language.
| Keyword | Current | Previous | Movement | Volume | Ranking URL |
|---|---|---|---|---|---|
| ai scales | 1 | Baseline | Baseline | 49,500 | https://scale.com/ |
| ai position | 1 | Baseline | Baseline | 6,600 | https://scale.com/careers |
| mcp atlas | 1 | Baseline | Baseline | 480 | https://labs.scale.com/leaderboard/mcp_atlas |
| data engine | 1 | Baseline | Baseline | 260 | https://scale.com/data-engine |
| data engines | 1 | Baseline | Baseline | 260 | https://scale.com/data-engine |
| data partnerships | 1 | Baseline | Baseline | 140 | https://scale.com/data-partnership |
| genai platform | 1 | Baseline | Baseline | 110 | https://scale.com/genai-portfolio |
| is scale | 1 | Baseline | Baseline | 110 | https://scale.com/ |
| company scale | 1 | Baseline | Baseline | 90 | https://scale.com/ |
| human frontier collective | 1 | Baseline | Baseline | 90 | https://hfc.scale.com/ |
| artificial intelligence at scale | 1 | Baseline | Baseline | 70 | https://scale.com/ |
| fdpm | 1 | Baseline | Baseline | 70 | https://scale.com/careers/4673051005 |
| hil bench | 1 | Baseline | Baseline | 70 | https://labs.scale.com/leaderboard/hil |
| llm engine | 1 | Baseline | Baseline | 70 | https://llm-engine.scale.com/ |
| donovan ai | 1 | Baseline | Baseline | 40 | https://scale.com/donovan |
| defense llama | 1 | Baseline | Baseline | 30 | https://scale.com/blog/defense-llama |
| donovan scale ai | 1 | Baseline | Baseline | 30 | https://scale.com/donovan |
| engagement manager scale ai | 1 | Baseline | Baseline | 30 | https://scale.com/careers/4687050005 |
| human frontier collective scale ai | 1 | Baseline | Baseline | 20 | https://hfc.scale.com/ |
| meta ai scale ai | 1 | Baseline | Baseline | 10 | https://scale.com/ |
Features
Features and capabilities
Core functions and evidence-backed product capabilities.
| Capability | What it does |
|---|---|
| Performance analysis | Provides detailed breakdowns of LLMs across multiple facets of performance and safety S21. |
| Evaluation sets | Offers high-quality evaluation sets across domains and capabilities to ensure accurate model assessments without overfitting S21. |
| Reporting interface | User-friendly interface for analyzing and reporting on model performance across domains, capabilities, and versioning S21. |
| Private evaluations | Enables organizations to assess AI systems with private evaluations, avoiding leaderboard gaming S21. |
Integrations and ecosystem
Connected products, exports, APIs, and workflow compatibility.
| Integration or interface | Type | What it enables |
|---|---|---|
| API | API | Provides API concepts and endpoint reference documentation for integration S7. |
Pricing
Pricing and plans
Published plans, free access, trials, credits, and pricing limitations.
| Plan or offer | Verified price and billing | Included | Limits |
|---|---|---|---|
| Scale Evaluation | Contact sales S21 | Not established | Not established |
Competition
Competitive landscape
Domains competing for the same organic search demand.
Sampled competitors
| Competitor | First-page appearances | Sampled queries | Average position | Queries observed |
|---|---|---|---|---|
| openai.com | 1 | 1 | 1 | ai position |
| linkedin.com | 1 | 1 | 2 | ai scales |
| allenai.org | 1 | 1 | 2 | ai position |
| en.wikipedia.org | 1 | 1 | 3 | ai scales |
| onlinedegrees.sandiego.edu | 1 | 1 | 3 | ai position |
| ycombinator.com | 1 | 1 | 4 | ai scales |
| microsoft.ai | 1 | 1 | 4 | ai position |
| ibm.com | 1 | 1 | 5 | ai scales |
| amazon.jobs | 1 | 1 | 5 | ai position |
| teaching.center.uiowa.edu | 1 | 1 | 6 | ai scales |
Website intelligence — Collected evidence
Customers, testimonials, and first-party review claims
| Page type | Evidence | Source |
|---|---|---|
| customers | ](https://dashboard.scale.com/login)[ | https://scale.com/customers/time |
| customers | Disrupting the media industry with TIME AI. | https://scale.com/customers/time |
| customers | TIME is Redefining the Media and Publishing Industry with Generative AI | https://scale.com/customers/time |
| customers | TIME and Scale revolutionize media publishing by leveraging the power of Generative AI to bring TIME’s trusted journalism to the world in exciting new ways. Together we built TIME AI, the first interactive Generative AI experience for TIME Person of the Year. | https://scale.com/customers/time |
| customers | The TIME AI experience includes text and audio summaries, voice interactions, translations, audio, and conversational chat, enabling readers to immerse themselves in the history and background of the Person of the Year. Custom guardrails keep the model on topic and safe for use. | https://scale.com/customers/time |
| customers | Watch TIME CEO Jess Sibley and TIME COO Mark Howard discuss how Scale delivered this impactful and trustworthy GenAI experience in just two months. | https://scale.com/customers/time |
| customers | > “We have a lot more to do. We have an exciting roadmap ahead that we will be announcing shortly, and we're going to continue to be partnering with Scale AI, and I'm really excited about that. — Jessica Sibley — Chief Executive Officer — TIME” | https://scale.com/customers/time |
| customers | TIME Needed to Quickly Build an Immersive and Trustworthy AI Solution | https://scale.com/customers/time |
| customers | The media industry faces an existential risk due to the rise of Generative AI technology. As media consumption preferences are changing, TIME wanted to lean in and push the boundaries of what it meant to engage with their content. | https://scale.com/customers/time |
| customers | They needed to move past a traditional article's static, linear experience and even beyond an out-of-the-box conversational chat experience. They needed a solution that was unique to TIME and that reflected the organization's high quality standards and their foundation of trusted journalism. | https://scale.com/customers/time |
| customers | TIME wanted to build an AI solution that could guide readers deeper into articles, enhance comprehension, maintain their editorial voice, and operate safely—all while blocking inappropriate content. | https://scale.com/customers/time |
| customers | TIME also needed this solution to be safe to maintain their foundation of trusted journalism. TIME person of the Year is usually highly contentious and the subject of lively debate. | https://scale.com/customers/time |
| customers | Finally, TIME needed a partner that was capable of accelerating from proposal to production solution in just two months. | https://scale.com/customers/time |
| customers | > “We knew and anticipated that there would be half of the population who would be very excited about it and there would be half who would have issue with it. And because of that, we wanted to make sure that all of the guardrails were in place, making sure that this experience was the most reliable, trusted, safe environment for our content and our journalism to still be the primary experience, but to give users that interactivity that they've come to expect. — Mark Howard — Chief Operating Officer — TIME” | https://scale.com/customers/time |
| customers | The Solution | https://scale.com/customers/time |
| customers | Scale Delivers a Unique and Trustworthy AI Solution in Two Months | https://scale.com/customers/time |
| customers | Scale designed and built a dynamic, interactive, and multimodal solution to highlight the 2024 TIME Person of the Year Donald Trump, and the winners from the three previous years, Taylor Swift, Volodymyr Zelensky, and Elon Musk. | https://scale.com/customers/time |
| customers | Text and audio summaries make it easier to consume the articles, while voice input and conversational chat add depth to the experience. | https://scale.com/customers/time |
| customers | The articles were translated into seven languages: English, Spanish, French, German, Chinese, Russian, and Ukrainian. The conversational chat experience is contextually aware of the Person of the Year articles and other related articles from TIME’s archives. | https://scale.com/customers/time |
| customers | Readers can ask TIME AI questions like: "What are Donald Trump’s plans for foreign policy?" or "How do Taylor Swift’s record sales compare to other successful musicians in the 20th and 21st century?" or "Has the Russia - Ukraine border been disputed in the past?". They can also catch up on past editions by listening to articles in a podcast format while multitasking or receive concise summaries focused on the subjects within the content that matter most to them. | https://scale.com/customers/time |
Independent review sources discovered
No links to supported independent review platforms were discovered on the collected pages.
Backlink profile
Authority and referring-domain signals.
Backlink comparison profile
- Domain rating: 80/100
- Backlinks: 256,805
- Referring domains: 14,109
- Dofollow backlinks: 48.0%
- Dofollow referring domains: 79.0%
Collection decision
The Scout search index remains intentionally excluded from automatic Scout analysis. This Scout traffic model profile costs 5 credits (0.5 cents) and is included in the first comparison run so its usefulness can be judged before the recurring collection is finalized.
AI visibility
Measured ChatGPT and Google AI mentions with cited sources.
AI-assistant referral traffic
- Estimated current generative-AI referral share: 2.6%
| Month | Traffic share | Source |
|---|---|---|
| — | — | All AI assistants |
| — | — | All AI assistants |
| — | — | All AI assistants |
Website intelligence — Collected evidence
Site-stated AI capabilities
| Page type | Evidence | Source |
|---|---|---|
| other | Scale delivers proven data, evaluations, and outcomes to AI labs, governments, and the Fortune 500. | https://scale.com/ |
| other | Enabling scalable, real-world Physical AI for industrial robotics. | https://scale.com/ |
| other | Center for AI Safety | https://scale.com/ |
| other | We set the benchmark for what’s possible with AI | https://scale.com/ |
| other | Our leaderboards run private benchmarks for the most ambitious AI companies to improve model capabilities. | https://scale.com/ |
| other | Mayo Clinic + Scale: Reliable AI for Better Healthcare | https://scale.com/ |
| other | Book a demo today and see how Scale can build reliable AI for your organization. | https://scale.com/ |
| other | Every agent that goes into production comes with a full audit trail, source-cited outputs, and enterprise-specific oversight built in so you always know what your AI did and why. | https://scale.com/genai-portfolio |
| features | Reliable AI for the Future of Healthcare | https://scale.com/enterprise |
| features | “Scale AI is really the backbone of our AI success. It's critical and I'm excited to keep building forward that relationship and delivering more for Howard Hughes." - Carlos Olea, CFO, Howard Hughes.” | https://scale.com/enterprise |
| features | Most AI gets smarter for everyone. Dialect learns from your experts every day, turning their judgment into a compounding advantage that grows more powerful, and more uniquely yours, over time. | https://scale.com/enterprise |
| features | Trusted by government and defense operations, Scale delivers AI systems that meet the highest standards for security, oversight, and operational reliability. | https://scale.com/enterprise |
| features | Scale bridges the gap between AI models & business outcomes | https://scale.com/enterprise |
| features | How Morgan Stanley deploys AI that actually works (hint: it's evals) \ | playwright |
| features | ](/blog/hitl-ep13-ai-evals-in-practice) | https://scale.com/enterprise |
| features | Reliable AI for the Future of Healthcare | https://scale.com/enterprise |
| features | revenue growth after implementing Gen AI recommendations. | https://scale.com/enterprise |
| features | production timeline to implement Scale AI in your system. | https://scale.com/enterprise |
| features | “We have a lot more to do. We have an exciting roadmap ahead that we will be announcing shortly, and we're going to continue to be partnering with Scale AI, and I'm really excited about that.” | https://scale.com/enterprise |
| features | “Scale AI is really the backbone of our AI success. It's critical and I'm excited to keep building forward that relationship and delivering more for Howard Hughes." - Carlos Olea, CFO, Howard Hughes.” | https://scale.com/enterprise |
These are first-party product claims, not independent measurements of AI-search visibility.
Marketing opportunities
Actions calculated directly from the collected evidence.
| Opportunity | Recommended action | Evidence |
|---|---|---|
| Competitor gap | Review the sampled queries where openai.com appears. | 1 first-page appearances across ai position |
Website intelligence — Collected evidence
Website evidence gaps
- reviews: no usable public page was collected; verify whether the site publishes this evidence.
- changes: no usable public page was collected; verify whether the site publishes this evidence.
- identity: no usable public page was collected; verify whether the site publishes this evidence.
- technical: no usable public page was collected; verify whether the site publishes this evidence.
Trust and proof
Customers, proof, and reviews
Published proof, customer signals, and review evidence.
Independent reviews
| Platform | Page | How it was found | Note |
|---|---|---|---|
| eesel AI | Scale AI reviews (2026): The good, the bad & a smarter alternative / eesel AI | Grounded web search | s a marathon, not a sprint: You don't just sign up for Scale AI and get going. The process usually involves a bunch of sales calls, custom project planning ... re dealing with a massive, distributed workforce with different skill levels and pay rates, |
| Label Your Data | Label Your Data vs Scale AI: For ML Teams Evaluating Vendors in 2026 | Grounded web search | 1. Scale AI is built for high-volume, enterprise pipelines but often lacks transparency, pricing clarity, and hands-on support. 2. Label Your Data combines a managed service and self-serve platform, giving ML teams more control over formats, QA, and timelines. 3. Scale AI doesn’t publicly share platform features, review systems, or quality benchmarks, which limits buyer confidence. 4. Label Your Data offers clear data annotation pricing, free pilots, and is rated 4.9/5.0 on G2 and Clutch with 40 |
| youtube.com | Scale AI Review - Is This AI Training Job Legit? | Grounded web search | all of them. If you look at reviews on Glassdoor, overall they have a 3.6 out of five rating, 64% recommend working here. That's pretty good, a little average, but still pretty good ... , they have a 2.5 rating out of five stars, which is not very |
| scale.com | Agentic Solutions for Enterprise / Scale AI | Grounded web search | ## 93% faster contract reviews for legal clients (15 ... > 1 hour) Revenue ## $64M+ revenue growth after implementing Gen AI recommendations. Accuracy ## 100% source-cited, regulator- ... . Adoption ## 36,000+ customer retention within 3 |
| prolific.com | 5 alternatives to Scale AI for data labeling / Prolific | Grounded web search | Scale AI does not list pricing publicly. Some small research projects (typically individuals or for academic research) can get limited quantities of data annotated for free. But for enterprises, annotation services are usually much more costly. Software information website Vendr claims the average Scale AI contract value is $93k. Similarly, one Reddit user who claims to have used Scale AI suggests the firm mainly works on projects valued at |
Customer proof
| Proof type | Named customer or source | Evidence |
|---|---|---|
| Rating | FeaturedCustomers | testimonial — Read 65 Scale AI reviews and testimonials from customers, explore 31 case studies and customer success stories, and watch 12 customer videos to see why companies chose Scale AI as their Data Annotation Software ... (108 Scale AI Customer Reviews & References / FeaturedCustomers) |
| Case study | BCG | customer case study — To help our client, we partnered with Scale AI, a leading company fueling the generative AI revolution. (Removing Barriers to Data with Text-to-SQL / BCG) |
Independent mentions
- Scale AI B2B Case Studies & Customer Successes — Scale accelerates the development of AI applications by helping computer vision teams generate high-quality ground truth data. Their advanced LiDAR, video ... and image annotation APIs allow self-driving, drone, and robotics teams at companies like Waymo,
- How Scale AI 4x’d their Ticket Automation Rate By Switching to Console / Console — Scale rolled out Console in phases, starting with their highest-volume tickets: application access requests, Slack channel management, account lockouts, and ... number hit 57%. Nearly 4x what they had seen with their previous
External links were grounded in one live web search. Search snippets are leads, not independently scraped page content; rejected links remain available in Review evidence.
Company, security, and trust
Ownership, policies, security signals, and public trust evidence.
| Signal | Finding | Source |
|---|---|---|
| Company and ownership | Our team will walk you through SGP in the context of your actual environment not a generic demo. | source |
| Contact and support | This Privacy Policy does not apply to the extent we process personal information in the role of processor or service provider on behalf of our customers. Customers are solely responsible for establishing policies for and | source |
| Legal and privacy | This website uses cookies and similar technologies to ensure functionality, evaluate website usage, and to serve marketing content. Visit our Cookie Policy andPrivacy Policy for more information. | source |
| Security and compliance | Learn about Scale's certifications, frameworks, and compliance programs. To access Scale AI's latest security compliance certifications and reports, please visit our Trust Center. | source |
| Uptime and status page | Not published on the collected pages. | — |
| Domain registered | 1997-12-29 | — |
| Domain expires | 2030-11-06 | — |
Not found on the collected pages: uptime and status page. This only means Scout did not find it on the pages it read; it says nothing about the company itself.
Documentation and product updates
Help resources, product guidance, and visible changes over time.
| Resource or update | Type | What is available | Date or freshness |
|---|---|---|---|
| Getting Started with Scale - Scale Documentation | Documentation | Scale AI's mission is to accelerate the development of AI applications. To enable teams to make faster progress, we began with data - the foundation of all AI applications. Scale AI turns raw data into high-quality training data by combining machine learning powered pre-labeling and active tooling with varying levels and types of human review. (source) | Not dated |
| Scale GenAI Portfolio / Scale AI | Roadmap | Public product roadmap. (source) | Not dated |
| Agentic Solutions for Enterprise / Scale AI | Roadmap | Public product roadmap. (source) | Not dated |
| Customer Success Story: TIME / Scale AI | Roadmap | Public product roadmap. (source) | Not dated |
| Why the U.S. Needs an Independent AI Evaluation Framework for National Security / Scale AI | Product update | Product update is publicly available. (source) | Not dated |
Not found in the collected public sources: changelog or release notes, status page, separate help center or knowledge base.
Technical
Technical and delivery signals
Delivery model, platforms, API, data ownership, reliability claims and release activity.
| Signal | Finding | Source |
|---|---|---|
| Delivery model (cloud, self-hosted, desktop, browser extension) | Not published on the collected pages. | — |
| Platforms and apps | Not published on the collected pages. | — |
| API and extensibility (API, SDK, webhooks, MCP, plugins) | API concepts and endpoint reference documentation are available S7. | S7 |
| Data ownership and export | Not published on the collected pages. | — |
| Performance and reliability claims | Not published on the collected pages. | — |
| Release activity | Not published on the collected pages. | — |
Measured infrastructure
Domain, certificate, and hosting signals, measured directly.
| Signal | Finding |
|---|---|
| Domain registered | 1997-12-29 — Amazon Registrar, Inc. |
| Domain expires | 2030-11-06 |
| First archived | 1999-05-08 — web archive |
| TLS certificate | Let's Encrypt, valid, expires 2026-11-25 |
| Security headers | HSTS |
| Headers not served | CSP, X-Content-Type-Options, X-Frame-Options, Referrer-Policy |
| Server header | Vercel |
| Mail handled by | aspmx.l.google.com, alt1.aspmx.l.google.com |
| Nameservers | pam.ns.cloudflare.com, hugh.ns.cloudflare.com |
Technical site audit
A bounded multi-page crawl with page-level issues and URLs.
Scout — Bounded technical crawl
- Pages crawled: 15 of 15 maximum
- Technical health: 97/100
- Critical issues: 0
- Warnings: 10
- Notices: 1
Issues
| Severity | Issue | Value | Affected URL |
|---|---|---|---|
| warning | Page should have one primary H1 | 0 | https://scale.com/ |
| warning | Page should have one primary H1 | 0 | https://scale.com/data-engine |
| notice | Meta description length should be reviewed | 41 | https://scale.com/physical-ai |
| warning | Page should have one primary H1 | 0 | https://scale.com/physical-ai |
| warning | Page should have one primary H1 | 0 | https://scale.com/enterprise/healthcare |
| warning | Page should have one primary H1 | 0 | https://scale.com/global-public-sector |
| warning | Page should have one primary H1 | 0 | https://scale.com/public-sector |
| warning | Page should have one primary H1 | 0 | https://scale.com/public-sector-data-engine |
| warning | Page should have one primary H1 | 0 | https://scale.com/automotive |
| warning | Page should have one primary H1 | 0 | https://scale.com/generative-ai-data-engine |
| warning | Title length should be reviewed | 70 | https://scale.com/blog/mayo-clinic-scale |
Crawled pages
| Status | Title | H1s | Words | Response | URL |
|---|---|---|---|---|---|
| 200 | Scale: Reliable AI Systems for Critical Decisions | 0 | 923 | 60 ms | https://scale.com/ |
| 200 | Meet with our team \ | Scale AI | 1 | 171 | 148 ms |
| 200 | Agentic Solutions for Enterprise \ | Scale AI | 1 | 765 | 82 ms |
| 200 | Scale Data Engine \ | AI Training Data at Scale \ | Scale AI | 0 | 536 |
| 200 | Physical AI \ | Scale AI | 0 | 638 | 165 ms |
| 200 | Agentic Solutions for Healthcare \ | Scale AI | 0 | 647 | 46 ms |
| 200 | AI for the Global Public Sector \ | Scale AI | 0 | 645 | 50 ms |
| 200 | Scale is the AI partner for the US Public Sector \ | Scale AI | 0 | 626 | 181 ms |
| 200 | Scale Public Sector Data Engine \ | Scale AI | 0 | 441 | 147 ms |
| 200 | Autonomous Driving Data Solutions \ | Scale AI | 0 | 538 | 147 ms |
| 200 | Customer Success Story: TIME \ | Scale AI | 1 | 1170 | 71 ms |
| 200 | About Us \ | Reliable AI for Critical Decisions \ | Scale AI | 1 | 293 |
| 200 | Generative AI Data Engine \ | Scale AI | 0 | 402 | 47 ms |
| 200 | Introducing Scale Labs \ | Scale AI | 1 | 835 | 235 ms |
| 200 | How Scale AI and Mayo Clinic Are Transforming Clinical Care \ | Scale AI | 1 | 596 | 198 ms |
This is a bounded Scout crawl. Core Web Vitals and Lighthouse scores are not claimed unless a dedicated performance audit is connected.
Search Console and Analytics
First-party search and behavioral data connection state.
Modeled acquisition channels
| Channel | Estimated share |
|---|---|
| direct | 35.0% |
| search | 45.8% |
| search organic | 45.7% |
| search paid | 0.1% |
| social | 8.4% |
| social organic | 8.3% |
| social paid | 0.1% |
| referrals | 6.1% |
| paid referrals | 0.1% |
| 2.0% | |
| gen ai | 2.6% |
| affiliate | 0.0% |
| other | 0.0% |
First-party connections
| Integration | Status | Data available after connection |
|---|---|---|
| Google Search Console | Not connected | Clicks, impressions, CTR, average position, queries, pages, countries, and devices |
| Google Analytics | Not connected | Organic sessions, engagement, landing pages, conversions, geography, and devices |
No first-party Search Console or Analytics numbers are shown until the site owner authorizes the corresponding Google account. Scout traffic model values above are modeled estimates, not private analytics totals.
Limits and method
Limitations and open questions
Known constraints and missing evidence from the collected pages.
The collected pages do not mention any competitors by name. Evidence gaps include lack of pricing details, customer testimonials, and specific technical delivery information for Scale Evaluation.
Sources, method, and limitations
Evidence inventory, collection method, provider use, and constraints.
This report is based on 15 collected pages from scale.com, including product pages, documentation, and legal pages. External proof search was used to discover a review profile, but its content was not collected. Limitations include potential marketing bias and incomplete information on pricing and technical specifics.
- Documentationhttps://scale.com/evaluation/model-developersVerified
- Official Websitehttps://scale.com/aboutVerified
- Documentationhttps://scale.com/docsVerified
- Official Websitehttps://scale.com/genai-portfolioVerified
- Official Websitehttps://scale.com/blog/scale-acquires-icg-solutionsVerified
- Official Websitehttps://scale.com/enterpriseVerified
- Official Websitehttps://scale.com/customers/timeVerified
- Official Websitehttps://scale.com/securityVerified
- Official Websitehttps://scale.com/blog/ai-evaluation-framework-national-securityVerified
- Official Websitehttps://scale.com/legal/modern-slavery-statementVerified
- Official Websitehttps://scale.com/legal/privacyVerified
- Official Websitehttps://scale.com/legal/termsVerified
- Official Websitehttps://scale.com/public-sector/national-securityVerified
- Official Websitehttps://scale.com/blog/deployment-lessons-from-global-governmentsVerified
- Official Websitehttps://scale.com/blog/strategy-to-infrastructureVerified
- Articlehttps://www.featuredcustomers.com/vendor/scale-aiVerified
- Articlehttps://www.bcg.com/x/the-multiplier/removing-barriers-to-data-with-text-to-sqlVerified
- Review Sitehttps://www.eesel.ai/blog/scale-ai-reviewsVerified
- Review Sitehttps://labelyourdata.com/articles/label-your-data-vs-scale-aiVerified
- Articlehttps://www.casestudies.com/company/scale-aiVerified
- Review Sitehttps://www.youtube.com/watch?v=DVprHVaHuA4Verified
- Review Sitehttps://www.prolific.com/resources/5-alternatives-to-scale-ai-for-data-labelingVerified
- Articlehttps://www.console.com/customers/scale-aiVerified
