Model Evaluation · Reviewed 22 Oct 2026

Scale Evaluation

Scale Evaluation helps frontier model developers analyze, iterate, and improve LLM performance.

· scale.com ↗

Paid against free › Model Evaluation › Scale Evaluation

Scale Evaluation at a glance

Overview

01

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.

02

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.
03

Use cases and audiences

Who the product serves and the jobs it is designed to handle.

AudiencePractical use case
Frontier model developersUnderstand, analyze, and iterate on their models S21.
Organizations assessing AI systemsUse private evaluations to avoid leaderboard gaming S21.

Features

09

Features and capabilities

Core functions and evidence-backed product capabilities.

CapabilityWhat it does
Performance analysisProvides detailed breakdowns of LLMs across multiple facets of performance and safety S21.
Evaluation setsOffers high-quality evaluation sets across domains and capabilities to ensure accurate model assessments without overfitting S21.
Reporting interfaceUser-friendly interface for analyzing and reporting on model performance across domains, capabilities, and versioning S21.
Private evaluationsEnables organizations to assess AI systems with private evaluations, avoiding leaderboard gaming S21.
10

Integrations and ecosystem

Connected products, exports, APIs, and workflow compatibility.

Integration or interfaceTypeWhat it enables
APIAPIProvides API concepts and endpoint reference documentation for integration S7.

Pricing

11

Pricing and plans

Published plans, free access, trials, credits, and pricing limitations.

Plan or offerVerified price and billingIncludedLimits
Scale EvaluationContact sales S21Not establishedNot established

Competition

12

Competitive landscape

Domains competing for the same organic search demand.

Sampled competitors

CompetitorFirst-page appearancesSampled queriesAverage positionQueries observed
openai.com111ai position
linkedin.com112ai scales
allenai.org112ai position
en.wikipedia.org113ai scales
onlinedegrees.sandiego.edu113ai position
ycombinator.com114ai scales
microsoft.ai114ai position
ibm.com115ai scales
amazon.jobs115ai position
teaching.center.uiowa.edu116ai scales

Website intelligence — Collected evidence

Customers, testimonials, and first-party review claims

Page typeEvidenceSource
customers](https://dashboard.scale.com/login)[https://scale.com/customers/time
customersDisrupting the media industry with TIME AI.https://scale.com/customers/time
customersTIME is Redefining the Media and Publishing Industry with Generative AIhttps://scale.com/customers/time
customersTIME 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
customersThe 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
customersWatch 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
customersTIME Needed to Quickly Build an Immersive and Trustworthy AI Solutionhttps://scale.com/customers/time
customersThe 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
customersThey 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
customersTIME 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
customersTIME 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
customersFinally, 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
customersThe Solutionhttps://scale.com/customers/time
customersScale Delivers a Unique and Trustworthy AI Solution in Two Monthshttps://scale.com/customers/time
customersScale 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
customersText 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
customersThe 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
customersReaders 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.

14

AI visibility

Measured ChatGPT and Google AI mentions with cited sources.

AI-assistant referral traffic

  • Estimated current generative-AI referral share: 2.6%
MonthSource
—All AI assistants
—All AI assistants
—All AI assistants

Website intelligence — Collected evidence

Site-stated AI capabilities

Page typeEvidenceSource
otherScale delivers proven data, evaluations, and outcomes to AI labs, governments, and the Fortune 500.https://scale.com/
otherEnabling scalable, real-world Physical AI for industrial robotics.https://scale.com/
otherCenter for AI Safetyhttps://scale.com/
otherWe set the benchmark for what’s possible with AIhttps://scale.com/
otherOur leaderboards run private benchmarks for the most ambitious AI companies to improve model capabilities.https://scale.com/
otherMayo Clinic + Scale: Reliable AI for Better Healthcarehttps://scale.com/
otherBook a demo today and see how Scale can build reliable AI for your organization.https://scale.com/
otherEvery 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
featuresReliable AI for the Future of Healthcarehttps://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
featuresMost 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
featuresTrusted by government and defense operations, Scale delivers AI systems that meet the highest standards for security, oversight, and operational reliability.https://scale.com/enterprise
featuresScale bridges the gap between AI models & business outcomeshttps://scale.com/enterprise
featuresHow Morgan Stanley deploys AI that actually works (hint: it's evals) \playwright
features](/blog/hitl-ep13-ai-evals-in-practice)https://scale.com/enterprise
featuresReliable AI for the Future of Healthcarehttps://scale.com/enterprise
featuresrevenue growth after implementing Gen AI recommendations.https://scale.com/enterprise
featuresproduction 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.

15

Marketing opportunities

Actions calculated directly from the collected evidence.

OpportunityRecommended actionEvidence
Competitor gap1 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

16

Customers, proof, and reviews

Published proof, customer signals, and review evidence.

Independent reviews

PlatformPageHow it was foundNote
eesel AIScale AI reviews (2026): The good, the bad & a smarter alternative / eesel AIGrounded web searchs 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 DataLabel Your Data vs Scale AI: For ML Teams Evaluating Vendors in 2026Grounded web search1. 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.comScale AI Review - Is This AI Training Job Legit?Grounded web searchall 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.comAgentic Solutions for Enterprise / Scale AIGrounded 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.com5 alternatives to Scale AI for data labeling / ProlificGrounded web searchScale 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 typeNamed customer or sourceEvidence
RatingFeaturedCustomerstestimonial — 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 studyBCGcustomer 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

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.

17

Company, security, and trust

Ownership, policies, security signals, and public trust evidence.

SignalFindingSource
Company and ownershipOur team will walk you through SGP in the context of your actual environment not a generic demo.source
Contact and supportThis 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 andsource
Legal and privacyThis 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 complianceLearn 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 pageNot published on the collected pages.—
Domain registered1997-12-29—
Domain expires2030-11-06—

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.

18

Documentation and product updates

Help resources, product guidance, and visible changes over time.

Resource or updateTypeWhat is availableDate or freshness
Getting Started with Scale - Scale DocumentationDocumentationScale 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 AIRoadmapPublic product roadmap. (source)Not dated
Agentic Solutions for Enterprise / Scale AIRoadmapPublic product roadmap. (source)Not dated
Customer Success Story: TIME / Scale AIRoadmapPublic product roadmap. (source)Not dated
Why the U.S. Needs an Independent AI Evaluation Framework for National Security / Scale AIProduct updateProduct 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

19

Technical and delivery signals

Delivery model, platforms, API, data ownership, reliability claims and release activity.

SignalFindingSource
Delivery model (cloud, self-hosted, desktop, browser extension)Not published on the collected pages.—
Platforms and appsNot 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 exportNot published on the collected pages.—
Performance and reliability claimsNot published on the collected pages.—
Release activityNot published on the collected pages.—
20

Measured infrastructure

Domain, certificate, and hosting signals, measured directly.

SignalFinding
Domain registered1997-12-29 — Amazon Registrar, Inc.
Domain expires2030-11-06
First archived1999-05-08 — web archive
TLS certificateLet's Encrypt, valid, expires 2026-11-25
Security headersHSTS
Headers not servedCSP, X-Content-Type-Options, X-Frame-Options, Referrer-Policy
Server headerVercel
Mail handled byaspmx.l.google.com, alt1.aspmx.l.google.com
Nameserverspam.ns.cloudflare.com, hugh.ns.cloudflare.com
21

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

SeverityIssueValueAffected URL
warningPage should have one primary H10https://scale.com/
warningPage should have one primary H10https://scale.com/data-engine
noticeMeta description length should be reviewed41https://scale.com/physical-ai
warningPage should have one primary H10https://scale.com/physical-ai
warningPage should have one primary H10https://scale.com/enterprise/healthcare
warningPage should have one primary H10https://scale.com/global-public-sector
warningPage should have one primary H10https://scale.com/public-sector
warningPage should have one primary H10https://scale.com/public-sector-data-engine
warningPage should have one primary H10https://scale.com/automotive
warningPage should have one primary H10https://scale.com/generative-ai-data-engine
warningTitle length should be reviewed70https://scale.com/blog/mayo-clinic-scale

Crawled pages

StatusTitleH1sWordsResponseURL
200Scale: Reliable AI Systems for Critical Decisions092360 mshttps://scale.com/
200Meet with our team \Scale AI1171148 ms
200Agentic Solutions for Enterprise \Scale AI176582 ms
200Scale Data Engine \AI Training Data at Scale \Scale AI0536
200Physical AI \Scale AI0638165 ms
200Agentic Solutions for Healthcare \Scale AI064746 ms
200AI for the Global Public Sector \Scale AI064550 ms
200Scale is the AI partner for the US Public Sector \Scale AI0626181 ms
200Scale Public Sector Data Engine \Scale AI0441147 ms
200Autonomous Driving Data Solutions \Scale AI0538147 ms
200Customer Success Story: TIME \Scale AI1117071 ms
200About Us \Reliable AI for Critical Decisions \Scale AI1293
200Generative AI Data Engine \Scale AI040247 ms
200Introducing Scale Labs \Scale AI1835235 ms
200How Scale AI and Mayo Clinic Are Transforming Clinical Care \Scale AI1596198 ms

This is a bounded Scout crawl. Core Web Vitals and Lighthouse scores are not claimed unless a dedicated performance audit is connected.

22

Search Console and Analytics

First-party search and behavioral data connection state.

Modeled acquisition channels

ChannelEstimated share
direct35.0%
search45.8%
search organic45.7%
search paid0.1%
social8.4%
social organic8.3%
social paid0.1%
referrals6.1%
paid referrals0.1%
mail2.0%
gen ai2.6%
affiliate0.0%
other0.0%

First-party connections

IntegrationStatusData available after connection
Google Search ConsoleNot connectedClicks, impressions, CTR, average position, queries, pages, countries, and devices
Google AnalyticsNot connectedOrganic 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

23

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.

24

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.

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