# Antom vs Labelbox

Antom records 2,337,988 monthly visits with +28.6% month-over-month growth and Contact for Pricing pricing. Labelbox records 762,803 monthly visits with -22.8% growth and Contact for Pricing pricing.

| Metric | [Antom](https://openaitools.app/tool/antom) | [Labelbox](https://openaitools.app/tool/labelbox) |
| :--- | :--- | :--- |
| Website URL | https://www.antom.com | https://labelbox.com |
| Categories | AI For Finance | AI Developer Tools, AI API, AI Workflow, AI Productivity Tools |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 2,337,988 | 762,803 |
| MoM Growth Rate | +28.6% | -22.8% |
| Primary Market | China | United States |
| Direct Visits | 212,942 | 370,024 |
| Review Score | 4.2 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Antom

Antom is a unified payment platform built for merchants that sell across borders. Through one integration, businesses can accept more than 300 payment methods — cards, digital wallets, online banking and buy-now-pay-later options — in over 200 markets and 140+ currencies, with strong coverage of high-growth Asian markets.

Beyond raw acceptance, Antom layers AI across the payment lifecycle. Antom Payment Orchestration uses smart routing to lift authorisation success rates, while Antom Shield performs real-time fraud decisioning trained on billions of data points. Subscription and usage-based billing modules handle recurring revenue, metered charging, invoicing and global tax compliance.

The platform also includes growth tooling such as A+ Rewards for wallet cashback and loyalty campaigns, plus ready-made Shopify and WooCommerce plugins for merchants that want to go live without development work. It is positioned for e-commerce stores, platforms, travel, gaming, digital entertainment and retail brands.

**Pricing & Plans:** Antom uses a contact-for-pricing model. Merchant fees depend on markets, payment method mix and volume, with a transparent fee structure and no hidden charges advertised; Shopify and WooCommerce plugins are self-serve to install.

- **300+ payment methods, one integration:** Accept cards, wallets, online banking and BNPL across 200+ markets and 140+ currencies through a single gateway.
- **Antom Payment Orchestration:** Route transactions across multiple gateways, acquirers and wallets with smart routing to raise success rates and cut development cost.
- **Antom Shield fraud management:** AI-driven risk decisions delivered in real time, trained on billions of data points to widen fraud coverage without blocking good buyers.
- **Subscription and usage-based billing:** End-to-end subscription management, metered usage billing, invoicing and collections, plus automation for global tax compliance.
- **A+ Rewards and commerce plugins:** Run cashback, coupon and loyalty campaigns to wallet users, and switch on Shopify or WooCommerce payments without code.

**Strengths:** Very broad coverage of local Asian and global payment methods; AI orchestration and fraud tools tuned for conversion, not just approval; Built-in subscription, metered billing and tax automation for recurring revenue; Ready-made Shopify and WooCommerce plugins reduce integration effort

**Limitations:** Pricing is quote-based, so costs are not transparent up front; Full value depends on committing to the Antom stack rather than picking modules à la carte; Advanced orchestration and shield features assume a reasonably high transaction volume

[Profile (Markdown)](https://openaitools.app/tool/antom.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 Antom and Labelbox compare in monthly traffic?

Antom has 2,337,988 monthly visits, while Labelbox has 762,803. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Antom has a month-over-month growth rate of +28.6%; Labelbox has -22.8%.

### How does pricing compare?

Antom: Contact for Pricing. Antom uses a contact-for-pricing model. Merchant fees depend on markets, payment method mix and volume, with a transparent fee structure and no hidden charges advertised; Shopify and WooCommerce plugins are self-serve to install. 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 | [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) |
| 6 | [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) |
| 7 | [xPay](https://openaitools.app/tool/xpay) | 223,057 | +152.8% | Paid, Contact for Pricing | Provides similar cross-border payment processing and checkout integration, but focuses more on standard international gateway services than full merchant digitalization. | [.md](https://openaitools.app/tool/xpay.md) |
| 8 | [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) |
| 9 | [Waffo.ai (Waffo Pancake)](https://openaitools.app/tool/waffo-ai) | 132,327 | +71.2% | Paid (per transaction, volume discounts) | Acts as a merchant of record handling global billing and tax compliance, similar to Antom's checkout infrastructure. | [.md](https://openaitools.app/tool/waffo-ai.md) |
| 10 | [Shufti](https://openaitools.app/tool/shufti-pro) | 114,794 | -28.1% | Contact for Pricing | Focuses strictly on identity verification and AML compliance rather than end-to-end payment routing and merchant checkout. | [.md](https://openaitools.app/tool/shufti-pro.md) |

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

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