# Brainner vs Scale

Brainner records 7,732 monthly visits with +39.4% month-over-month growth and Free Trial, Paid, Contact for Pricing pricing. Scale records 616,915 monthly visits with +12.5% growth and Contact for Pricing pricing.

| Metric | [Brainner](https://openaitools.app/tool/brainner) | [Scale](https://openaitools.app/tool/scale) |
| :--- | :--- | :--- |
| Website URL | https://www.brainner.ai | https://scale.com |
| Categories | AI Recruiting, AI Resume Checker | AI Developer Tools, Large Language Models (LLMs), AI Models, AI Agent |
| Pricing Model | Free Trial, Paid, Contact for Pricing | Contact for Pricing |
| Monthly Visits | 7,732 | 616,915 |
| MoM Growth Rate | +39.4% | +12.5% |
| Primary Market | Germany | United States |
| Direct Visits | 3,135 | 191,408 |
| Review Score | 4.1 | 4.7 |
| Saved Count | 2 | 3 |
| Supported Platforms | Website | Website |

## Brainner

Brainner addresses two connected problems in high-volume hiring: recruiters cannot read every application, and a growing share of applicants are not who they claim to be. The platform connects to your ATS in one click, then screens and ranks candidates in real time as they apply through your existing job listings or careers page, so no workflow has to change.

The screening logic is criteria-driven. Brainner reads the job description, extracts key criteria and suggests which should be mandatory, preferred or neutral. Recruiters can edit that list, add their own requirements and refine classifications before screening begins. Each candidate then receives a ranked position with a written justification for how they met or missed each criterion, and decisions made in Brainner sync back to the ATS individually or in bulk.

Alongside ranking, Brainner runs candidate fraud detection, checking identity, contact and behavioral signals against more than 3.5 billion data points and 20+ fraud patterns identified from over a million analyzed applicants. The vendor states compliance with GDPR and CCPA and holds SOC 2 Type II certification, with regular bias and fairness audits. Pricing starts free with a book-a-demo path for larger teams.

**Pricing & Plans:** Free to start, with paid tiers and custom enterprise pricing available via a booked demo. No public price list.

- **Criteria extraction from job descriptions:** The AI reads each job description, extracts screening criteria and recommends which should be treated as mandatory, preferred or neutral.
- **Real-time candidate ranking:** Applicants are evaluated and ranked as they apply, so the strongest match appears at the top regardless of when they submitted.
- **Explainable assessment reports:** Every candidate gets a detailed report justifying why each criterion was met or not, avoiding black-box decisions.
- **Candidate fraud detection:** Flags high-risk profiles using 20+ identity, contact and behavioral fraud patterns drawn from 3.5 billion+ data points.
- **One-click ATS integration:** Native connections to Greenhouse, Workday, Lever, iCIMS, Workable, BambooHR, Ashby and 30+ other ATS platforms, with bulk decisions synced back.

**Strengths:** Screening criteria and justifications are transparent rather than black-box; Connects to 30+ ATS platforms in about a minute, without changing existing workflows; Combines resume ranking with identity fraud detection in one tool; SOC 2 Type II certified with GDPR/CCPA compliance and regular bias audits

**Limitations:** Fraud detection and customization value is strongest on paid plans; Requires an ATS or careers page flow to deliver the real-time ranking benefit; No public price list, so budgeting requires a sales conversation

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

## 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)

## Frequently Asked Questions

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

Brainner has 7,732 monthly visits, while Scale has 616,915. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Brainner has a month-over-month growth rate of +39.4%; Scale has +12.5%.

### How does pricing compare?

Brainner: Free Trial, Paid, Contact for Pricing. Free to start, with paid tiers and custom enterprise pricing available via a booked demo. No public price list. 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.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Mercor](https://openaitools.app/tool/mercor-com) | 14,164,192 | +34% | Contact for Pricing | AI-powered talent marketplace connecting experts with frontier AI work | [.md](https://openaitools.app/tool/mercor-com.md) |
| 2 | [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) |
| 3 | [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) |
| 4 | [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) |
| 5 | [Recruit CRM](https://openaitools.app/tool/recruit-crm) | 729,799 | -7.8% | Contact for Pricing | AI-powered ATS + CRM that runs the entire recruitment desk in one place | [.md](https://openaitools.app/tool/recruit-crm.md) |
| 6 | [Manatal](https://openaitools.app/tool/manatal) | 459,004 | -1% | Free Trial, Paid | AI recruitment software that unites ATS, CRM and automated candidate screening | [.md](https://openaitools.app/tool/manatal.md) |
| 7 | [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) |
| 8 | [PyjamaHR](https://openaitools.app/tool/pyjamahr) | 325,592 | -15.3% | Free Trial, Paid, Contact for Pricing | AI-powered applicant tracking that takes hiring from source to hire in one workspace. | [.md](https://openaitools.app/tool/pyjamahr.md) |
| 9 | [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) |
| 10 | [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) |

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

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