# Hyring vs Labelbox

Hyring records 98,213 monthly visits with -9.9% month-over-month growth and Freemium pricing. Labelbox records 762,803 monthly visits with -22.8% growth and Contact for Pricing pricing.

| Metric | [Hyring](https://openaitools.app/tool/hyring) | [Labelbox](https://openaitools.app/tool/labelbox) |
| :--- | :--- | :--- |
| Website URL | https://hyring.com | https://labelbox.com |
| Categories | AI Interview Assistant, AI Recruiting, AI Video Recording, AI Agent | AI Developer Tools, AI API, AI Workflow, AI Productivity Tools |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 98,213 | 762,803 |
| MoM Growth Rate | -9.9% | -22.8% |
| Primary Market | India | United States |
| Direct Visits | 21,707 | 370,024 |
| Review Score | 4.2 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Hyring

Hyring positions itself as AI-native rather than an applicant tracking system with AI bolted on. A single chain of AI products handles the funnel from start to finish: the resume screener ranks applications, the phone screener and video interviewer run conversations, the coding interviewer and English proficiency test assess skills, and Hyring Meet passes a shortlist to a human recruiter alongside an AI copilot. Everything shares one login, one credit pool, and one candidate record, and results sync back to your existing ATS so recruiters do not copy-paste between tools.

The platform deliberately serves three audiences at once. Employers get a portal to post roles, review AI shortlists, and hire; jobseekers get a free toolkit for searching, applying, and preparing; and recruiting partners get clients, AI tooling, and a back-office in exchange for working open roles on a success-fee basis. Adding a recruiter marketplace on top of the AI means a single posting can attract both self-serve and partner-driven sourcing.

Hyring reports adoption by more than 5,000 HR teams and cites 7x faster time-to-hire, 82% lower cost per hire, and 90%+ candidate satisfaction. It is ISO 27001 certified and SOC 2 compliant, processes candidate data under GDPR, and offers white-labeling, SSO, data residency, and a dedicated customer success manager on enterprise agreements. Pricing combines a plan tier with per-interview credits, so costs scale with hiring volume rather than seat count alone.

**Pricing & Plans:** Freemium with paid tiers: Free at $0/month (50 credits, 1 seat, 1 active job post), Pro at $79/month (5 seats, 10 job posts, AI avatar, 11 languages), and Business at $239/month (15 seats, unlimited job posts, AI Twin, 24 ATS integrations). All plans include 50 credits monthly, and extra credits cost $5.00 down to $1.00 each depending on volume. Enterprise pricing is custom and jobseeker tools are free.

- **Full AI interview stack:** Six AI products on one login and one credit pool: AI Video Interviewer, AI Phone Screener, AI Resume Screener, AI Coding Interviewer, English Proficiency Test, and Hyring Meet with an AI copilot.
- **End-to-end AI screening:** Rank applications automatically, run async one-way or live two-way conversational interviews with anti-cheat proctoring, and sync transcripts, scores, and shortlists straight into your ATS.
- **Recruiter marketplace:** Post a role once and let a vetted network of recruiting partners work it using Hyring's AI tools, with pay-on-success commercial terms and up to 65% commission for partners.
- **Jobseeker and partner portals:** Jobseekers get free AI resume and cover letter builders, auto-apply, a job tracker, and AI mock interviews, while recruiters get back-office support and client access.
- **Enterprise-grade security:** ISO 27001 certified, SOC 2 compliant, and GDPR-aligned, with role-based access, region options, SSO, and identity verification on enterprise plans.

**Strengths:** Covers the entire screening and interview funnel in one platform instead of stitching together separate tools; Strong value for employers: free tier plus a large credit-inclusive base and pay-as-you-go scaling; Three-sided marketplace lets employers combine self-serve AI with a network of recruiters on success fees; Jobseeker toolkit, including resume building, auto-apply, and mock interviews, is genuinely free

**Limitations:** Credits are consumed per interview/screening on top of the plan, so heavy usage costs can add up; Advanced capabilities like AI Twin, sentiment analysis, and the full 24 ATS integrations are locked to higher tiers; Best value comes from committing to the recruiter marketplace model, which may not suit teams wanting a purely self-serve tool; Free tier limits users to 1 seat and 1 active job post, which is tight for growing teams

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

## Labelbox

Labelbox occupies an unusual position in the AI stack: it does not primarily sell a chatbot or a generator, it builds the environments and data that models learn from plus the agents that take over recurring engineering and research work. The homepage claim is direct — frontier AI labs train on Labelbox environments and expert data, while engineering and research teams hand their recurring backlog to agents running on Recursion. A recent Series E of more than $100 million signals a heavily funded bet on that thesis.,For enterprises, the newer half of the product is Recursion. Agents are triggered by real signals — a failing build, a PagerDuty alert, a new dependency release, a fresh model checkpoint, or a Monday morning schedule — and then work in the background until the job is done. The examples the company promotes are concrete deliverables rather than summaries: a tested pull request with a preview link, a postmortem draft in Confluence with every event sourced, an ablation table naming the changes that mattered, or a patch for each exposed service after a critical CVE. A grader agent scores each run, and the graded session leaves behind memories, notes and skills that the next session reads before it acts.,The original foundation remains the data business: labeling, annotation, curation and model evaluation supported by expert human reviewers, used for computer vision, NLP, supervised fine-tuning, RLHF and red teaming. In practice the two halves reinforce each other, since the environments that produce high-quality training data are the same environments where agents learn to do real work. Pricing is enterprise-style, routed through sales conversations and shaped by data volume and agent usage, with no public self-serve tier.

**Pricing & Plans:** Contact for pricing. Labelbox does not publish self-serve plans or public rate cards; its pricing route instead directs interested teams to talk to sales, and cost is shaped by data production scope, agent deployment and enterprise requirements. There is no published free tier. Prospective customers should request a quote based on their volumes and use cases.

- **Data labeling and expert annotation:** Structured annotation, curation, model evaluation and human-in-the-loop review across vision, language and generative tasks, used to build the training and eval data behind production models.
- **Autonomous agent sessions:** Recursion agents start on their own from builds, alerts, commits, checkpoints and schedules, then work in the background until the task is finished and reviewable.
- **Domain specialists by function:** Specialist agents cover software engineering, reliability, security, ML research, evals, R&D, product and finance workflows, from flaky test fixes to postmortem drafts and vulnerability patches.
- **Graded outcomes that compound:** Every agent run is scored by a grader, and graded sessions leave memories, notes and skills that the next session reads before acting, so quality compounds over time.
- **Native tool and data integrations:** Agents operate against the tools teams already use, including GitHub, Jira, Linear, Slack, Datadog, PagerDuty, BigQuery, Databricks, Vercel and cloud providers.

**Strengths:** Covers both sides of the problem: training and eval data production plus agents that act on recurring work; Backed by a recent $100M+ Series E and adoption by frontier AI labs, indicating real funding and demand; Agent runs produce concrete deliverables with proof — tests, reruns, ablations — rather than unverified suggestions; Integrates with the toolchain teams already run: GitHub, Jira, Linear, Slack, Datadog, PagerDuty, BigQuery and Databricks

**Limitations:** No self-serve pricing or open signup: everything routes through a sales conversation, which slows down evaluation; The platform assumes real engineering and research infrastructure (GitHub, cloud providers, data warehouses) to deliver value; Positioning has shifted quickly toward autonomous agent sessions, so teams wanting only labeling workflows may find it heavier than needed

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

## Frequently Asked Questions

### How do Hyring and Labelbox compare in monthly traffic?

Hyring has 98,213 monthly visits, while Labelbox has 762,803. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Hyring has a month-over-month growth rate of -9.9%; Labelbox has -22.8%.

### How does pricing compare?

Hyring: Freemium. Freemium with paid tiers: Free at $0/month (50 credits, 1 seat, 1 active job post), Pro at $79/month (5 seats, 10 job posts, AI avatar, 11 languages), and Business at $239/month (15 seats, unlimited job posts, AI Twin, 24 ATS integrations). All plans include 50 credits monthly, and extra credits cost $5.00 down to $1.00 each depending on volume. Enterprise pricing is custom and jobseeker tools are free. Labelbox: Contact for Pricing. Contact for pricing. Labelbox does not publish self-serve plans or public rate cards; its pricing route instead directs interested teams to talk to sales, and cost is shaped by data production scope, agent deployment and enterprise requirements. There is no published free tier. Prospective customers should request a quote based on their volumes and use cases.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Roboflow](https://openaitools.app/tool/roboflow) | 1,431,204 | +6.6% | Freemium, Contact for Pricing | Streamlines end-to-end computer vision workflows from annotation to model deployment, but lacks Labelbox's general enterprise agent orchestration. | [.md](https://openaitools.app/tool/roboflow.md) |
| 2 | [Appen](https://openaitools.app/tool/appen-com) | 665,840 | +0.2% | Contact for Pricing | Relies heavily on managed human-in-the-loop workforce services for data validation, offering less self-serve technical tooling than Labelbox. | [.md](https://openaitools.app/tool/appen-com.md) |
| 3 | [Scale](https://openaitools.app/tool/scale) | 616,915 | +12.5% | Contact for Pricing | Delivers enterprise-grade labeling and model evaluation at massive scale, but often requires higher enterprise budgets than Labelbox. | [.md](https://openaitools.app/tool/scale.md) |
| 4 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | Offers robust multimodal annotation and workflow automation, featuring slightly more intuitive data curation pipelines for computer vision teams. | [.md](https://openaitools.app/tool/super-annotate.md) |
| 5 | [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) |
| 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 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | Specializes in advanced computer vision and physical AI data pipelines, though with a narrower focus than general text-and-image labeling. | [.md](https://openaitools.app/tool/encord-com.md) |
| 8 | [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) |
| 9 | [Label Studio](https://openaitools.app/tool/label-studio) | 137,199 | -16.1% | Contact for Pricing, Free | Provides a flexible open-source alternative for custom data labeling, but requires self-hosting and manual infrastructure maintenance. | [.md](https://openaitools.app/tool/label-studio.md) |
| 10 | [Humanly](https://openaitools.app/tool/humanly-io) | 109,717 | -19.1% | Contact for Pricing | Automated recruiting conversations and AI interviews for high-volume, frontline hiring | [.md](https://openaitools.app/tool/humanly-io.md) |

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Source: https://openaitools.app/compare/hyring-vs-labelbox

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