# Scale vs Underpin

Scale records 616,915 monthly visits with +12.5% month-over-month growth and Contact for Pricing pricing. Underpin records 0 monthly visits with — growth and Freemium pricing.

| Metric | [Scale](https://openaitools.app/tool/scale) | [Underpin](https://openaitools.app/tool/underpin) |
| :--- | :--- | :--- |
| Website URL | https://scale.com | https://chromewebstore.google.com/detail/underpin/kdbncjnjdflmhnoknhdgbnlmjkmeifmg |
| Categories | AI Developer Tools, Large Language Models (LLMs), AI Models, AI Agent | AI Recruiting, AI Checker, AI Task Management, AI Productivity Tools |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 616,915 | 0 |
| MoM Growth Rate | +12.5% | — |
| Primary Market | United States | Global |
| Direct Visits | 191,408 | 0 |
| Review Score | 4.7 | 4.2 |
| Saved Count | 3 | 0 |
| Supported Platforms | Website | Browser Extension |

## Scale

Scale positions itself as the infrastructure layer for reliable AI - the data, evaluations and deployment support that sit underneath working systems rather than a single consumer-facing model. Founded in 2016, it built its reputation supplying training data and labelling capacity to the autonomous vehicle and then the generative AI wave, and now describes itself as powering a large share of the world's leading generative AI model builders.

The offering spans three broad areas. Data covers sourcing and expert annotation for training and fine-tuning, including RLHF-style preference data. Evaluation covers public leaderboards and private benchmarks used to measure model capability and safety. Applications covers the build-and-deploy side: identifying a viable use case, constructing the system and owning the outcome, with agentic AI for enterprise operations.

Scale's customer list leans heavily enterprise and public sector, including large technology companies, healthcare providers, media organisations, energy companies and government defence programmes. Because engagements are scoped rather than self-serve, pricing is arranged through a sales process, and the platform is aimed at organisations with serious data volume, strict compliance needs and a mandate to put AI into production.

**Pricing & Plans:** Contact for pricing. Scale does not publish rates; engagements are scoped through a sales conversation and depend on data volume, services and programme complexity.

- **Data Engine:** Human-sourced and expert-annotated training data, including specialist contributors with advanced degrees, at the quality bar frontier labs require.
- **Model evaluation & benchmarks:** Public leaderboards plus private benchmarks that test model capability and safety for the most ambitious AI developers.
- **Enterprise AI applications:** Platform and services teams that pick the right use case, build the system and take ownership of the outcome.
- **Agentic deployment:** Agentic systems designed around measurable business outcomes across private equity portfolios, energy and healthcare operations.
- **Domain expertise:** Programmes spanning healthcare, robotics, defence, public sector and enterprise with human oversight built in.

**Strengths:** Backed by a long track record in training data and model evaluation.; End-to-end coverage from data sourcing through to deployed systems.; Experienced with regulated, classified and safety-critical environments.; Benchmarks and leaderboards give an independent view of model capability.

**Limitations:** No public pricing or self-serve signup - you need a sales conversation to get started.; Enterprise-scale contracting and data operations require real internal commitment.; Overkill for small teams with modest data or evaluation needs.; Some projects involve sensitive government and defence work with strict compliance overhead.

[Profile (Markdown)](https://openaitools.app/tool/scale.md)

## Underpin

Underpin is a lightweight Chrome extension built for people who apply to many jobs and lose track of where they have already applied. Rather than making you log every submission by hand, it watches the pages you use to apply and records each application as it happens, building a personal history of your job search without extra spreadsheets.

The extension's headline feature is duplicate detection. Because it remembers your previous applications, Underpin can warn you when a current listing matches a role or company you have already applied to, so you avoid wasting effort and avoid looking repetitive to recruiters. It also helps you focus on genuinely new openings instead of re-treading familiar ones.

Underpin runs in the background as a popup-driven extension and keeps your data private, with the developer declaring no collection or sale of user data. It is distributed through the Chrome Web Store as a free-to-install tool, making it an easy addition to an existing job-search workflow.

**Pricing & Plans:** Free to install from the Chrome Web Store, with the developer offering it on a freemium basis for extended use.

- **Automatic application tracking:** Detects job application pages as you use them and records each submission automatically, so you do not have to log anything manually.
- **Duplicate application alerts:** Compares new listings against your history and warns you when you are about to apply to a role you have already submitted to.
- **Focus on new openings:** Keeps a running record of where you have applied so you can concentrate your time on fresh opportunities rather than repeats.
- **Popup workflow:** Access your tracked applications through a simple extension popup that opens alongside the site you are already browsing.
- **Privacy-minded design:** The developer states that data is not collected, sold, or shared for unrelated purposes.

**Strengths:** Removes the manual burden of logging job applications; Duplicate-detection warnings directly save time and effort; Free to install as a Chrome extension; Developer declares no data collection or selling

**Limitations:** Only available as a Chrome browser extension; Provides tracking and alerts rather than end-to-end application automation

[Profile (Markdown)](https://openaitools.app/tool/underpin.md)

## Frequently Asked Questions

### How do Scale and Underpin compare in monthly traffic?

Scale has 616,915 monthly visits, while Underpin has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Scale has a month-over-month growth rate of +12.5%; Underpin has —.

### How does pricing compare?

Scale: Contact for Pricing. Contact for pricing. Scale does not publish rates; engagements are scoped through a sales conversation and depend on data volume, services and programme complexity. Underpin: Freemium. Free to install from the Chrome Web Store, with the developer offering it on a freemium basis for extended use.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Workable](https://openaitools.app/tool/workable) | 10,780,627 | +5.5% | Free Trial, Paid | The agent recruits, you manage talent | [.md](https://openaitools.app/tool/workable.md) |
| 2 | [Roboflow](https://openaitools.app/tool/roboflow) | 1,431,204 | +6.6% | Freemium, Contact for Pricing | Streamlines computer vision dataset annotation and model training, but is less suited for general LLM text tasks. | [.md](https://openaitools.app/tool/roboflow.md) |
| 3 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | Focuses heavily on enterprise data labeling and training data curation, similar to Scale's core annotation business. | [.md](https://openaitools.app/tool/labelbox.md) |
| 4 | [Kula AI](https://openaitools.app/tool/kula-ai) | 492,326 | +4.2% | Paid, Contact for Pricing | The AI-native ATS that replaces your entire recruiting stack | [.md](https://openaitools.app/tool/kula-ai.md) |
| 5 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | Provides enterprise multimodal annotation and data management tools, but with less emphasis on managed labeling workforces. | [.md](https://openaitools.app/tool/super-annotate.md) |
| 6 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/tool/prompts) | 315,624 | -80.2% | Freemium, Contact for Pricing, Free | Track, evaluate, and ship AI models and agents in one connected environment. | [.md](https://openaitools.app/tool/prompts.md) |
| 7 | [Arize AI](https://openaitools.app/tool/arize-com) | 249,028 | +3.2% | Paid, Contact for Pricing | Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation. | [.md](https://openaitools.app/tool/arize-com.md) |
| 8 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | Specializes in data infrastructure and annotation specifically tailored for computer vision and physical AI workloads. | [.md](https://openaitools.app/tool/encord-com.md) |
| 9 | [Alex AI](https://openaitools.app/tool/alex-ai) | 235,876 | +49.3% | Contact for Pricing | An AI recruiter that interviews, verifies, and screens every applicant | [.md](https://openaitools.app/tool/alex-ai.md) |
| 10 | [Label Studio](https://openaitools.app/tool/label-studio) | 137,199 | -16.1% | Contact for Pricing, Free | Offers a flexible open-source alternative for custom data labeling and human-in-the-loop annotation pipelines. | [.md](https://openaitools.app/tool/label-studio.md) |

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Source: https://openaitools.app/compare/scale-vs-underpin

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