# Appen vs Numerous.ai

Appen records 665,840 monthly visits with +0.2% month-over-month growth and Contact for Pricing pricing. Numerous.ai records 128,828 monthly visits with -17% growth and Freemium, Free Trial, Paid pricing.

| Metric | [Appen](https://openaitools.app/tool/appen-com) | [Numerous.ai](https://openaitools.app/tool/numerous) |
| :--- | :--- | :--- |
| Website URL | https://appen.com | https://numerous.ai |
| Categories | AI Models, Large Language Models (LLMs), AI Developer Tools | AI Spreadsheet, Excel AI, AI Excel Formula Generator, AI Writing Assistants |
| Pricing Model | Contact for Pricing | Freemium, Free Trial, Paid |
| Monthly Visits | 665,840 | 128,828 |
| MoM Growth Rate | +0.2% | -17% |
| Primary Market | United States | United States |
| Direct Visits | 238,314 | 32,733 |
| Review Score | 4.4 | 4.5 |
| Saved Count | 2 | 4 |
| Supported Platforms | Website | Website |

## Appen

Appen is one of the oldest pure-play AI data companies, tracing its roots to 1996 when it began building human-labeled datasets for speech recognition and NLP. Over three decades it supported successive generations of model development — search relevance in the 2000s, machine translation, deep-learning vision annotation, Transformer-era semantics, GPT-3 scale corpora, RLHF for conversational AI, and now agentic and multimodal foundation models.

Today Appen positions itself around six specialised capability areas: Frontier Alignment (chain-of-thought reasoning traces, SME RLHF, supervised fine-tuning demonstrations, adversarial red teaming), Agentic AI (golden trajectories, RL environment design, failure-mode taxonomies, SWE-driven evaluation), Multimodal and Speech AI (multilingual ASR and conversational corpora, expressive TTS annotation, VLM training data, video action labelling), Physical AI (LiDAR point-cloud annotation, multi-camera sensor fusion, robotics demonstration trajectories, world-model rollouts), Model Integrity (hallucination benchmarking, bias detection, regulatory audits and continuous monitoring), and Research Services (context engineering, calibrated LLM-as-a-judge, synthetic data and custom benchmarking).

Delivery runs through Appen's AI Data Platform (ADAP), which blends automation with human oversight, and the company cites SOC 2 and ISO 27001 certification, 500+ global locales, and a client roster that includes major cloud, search, retail and aerospace organisations. Appen does not publish self-serve pricing; engagements start with a scoping conversation and are quoted per project, so cost depends on data volume, language coverage, modality and annotation complexity.

**Pricing & Plans:** Enterprise/contact-for-pricing. Appen does not publish self-serve plans; projects are scoped and quoted individually. Appen also sells off-the-shelf (OTS) datasets and crowd/contractor workforce programs with separate terms.

- **Frontier alignment data:** Chain-of-thought reasoning traces, SME-level RLHF, supervised fine-tuning demonstrations and adversarial red teaming for the most capable models.
- **Agentic AI datasets:** Golden trajectories, RL environment design, failure-mode taxonomies and software-engineering-driven deep evaluation for autonomous agents.
- **Multimodal and speech corpora:** Multilingual ASR and conversational speech data, expressive TTS annotation, vision-language model training data, video action labelling and voice-agent evaluation.
- **Physical AI annotation:** LiDAR point-cloud labeling, multi-camera sensor fusion, robot demonstration trajectories, world-model rollouts and embodied interaction logs.
- **Model integrity and evaluation:** Hallucination benchmarking, bias detection, regulatory audits and continuous monitoring, plus independent model evaluation.
- **AI Data Platform (ADAP):** A production platform that combines automation with human oversight, with SOC 2 and ISO 27001 certification and 500+ locales covered.

**Strengths:** Three decades of annotation methodology, tooling and workforce management experience; Very broad coverage: frontier alignment, agentic, speech, multimodal, physical AI and evaluation in one vendor; 500+ locales and multilingual expertise that most in-house teams cannot match; Enterprise-grade security posture (SOC 2, ISO 27001) and publicly listed governance

**Limitations:** No transparent self-serve pricing; every engagement requires a sales/scoping cycle; Enterprise-oriented contracts can be heavy for small teams or indie developers; Quality depends on workforce management, so results vary by project and locale; Overlaps with many cheaper specialist annotation vendors, making vendor selection non-trivial

[Profile (Markdown)](https://openaitools.app/tool/appen-com.md)

## Numerous.ai

Numerous.ai targets a very practical gap: most teams work in spreadsheets, but most AI chat tools live in a separate browser tab. The add-on closes that gap by exposing AI as a spreadsheet function. You type a prompt in one cell, reference other cells in it, and drag the result down a column — the AI then returns a distinct answer for every row, whether that is a rewritten product description, a categorised support ticket or a normalised country name.

Because it is built for bulk use, the product emphasises cost control and reuse. Identical queries are cached rather than re-run, which keeps token consumption down across large sheets, and the pricing is expressed in characters of input and output per person rather than opaque credits. There is no need to hold your own API keys — the service manages provider access, and a single plan covers everyone on the team.

The typical audience is operations, marketing and research teams. Marketers generate ad copy variants, keyword lists and campaign structures at scale; researchers summarise, extract and classify survey or social responses; data teams clean and standardise messy inputs; product people prototype prompts and share results. Setup is a one-click add-on install for both Google Sheets and Excel, and support is handled by email from a US-based team.

**Pricing & Plans:** Paid subscription with a paid trial: 7-day trial for $1, then a per-person plan that includes 1,000,000 characters of ChatGPT input and output per person, usable in both Google Sheets and Excel. Annual billing saves around 57%. Cancel anytime and keep remaining tokens; custom plans available on request.

- **AI as a spreadsheet formula:** Use AI in any cell through a simple function — no API keys, no external chat window, no copy-paste between tabs.
- **Bulk processing with caching:** Drag a single prompt down a column to process thousands of rows, with identical queries cached so you are not charged twice for the same work.
- **Summarisation and classification:** Summarise, rewrite, extract and classify long bodies of text such as surveys, articles or social posts into clean structured columns.
- **Marketing content at scale:** Generate ad copy, keyword lists, SEO content and campaign structures directly from your sheet's own data.
- **Team-friendly plans and support:** One plan covers the whole team, results are shareable within the sheet, and priority email support is included.

**Strengths:** Works inside the tools teams already use, so no new workflow to learn; No API keys or provider accounts to set up; Query caching keeps bulk runs cost-efficient, especially across thousands of rows; One plan covers the whole team in both Google Sheets and Excel

**Limitations:** Requires a paid trial and subscription rather than a permanent free tier; Usage is capped by character allowance, which heavy bulk users can exhaust; It depends on third-party AI providers, so model behaviour and availability are outside your control

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

## Frequently Asked Questions

### How do Appen and Numerous.ai compare in monthly traffic?

Appen has 665,840 monthly visits, while Numerous.ai has 128,828. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Appen has a month-over-month growth rate of +0.2%; Numerous.ai has -17%.

### How does pricing compare?

Appen: Contact for Pricing. Enterprise/contact-for-pricing. Appen does not publish self-serve plans; projects are scoped and quoted individually. Appen also sells off-the-shelf (OTS) datasets and crowd/contractor workforce programs with separate terms. Numerous.ai: Freemium, Free Trial, Paid. Paid subscription with a paid trial: 7-day trial for $1, then a per-person plan that includes 1,000,000 characters of ChatGPT input and output per person, usable in both Google Sheets and Excel. Annual billing saves around 57%. Cancel anytime and keep remaining tokens; custom plans available on request.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Prolific](https://openaitools.app/tool/prolific-com) | 18,697,671 | -1.8% | Paid | Connects teams directly with verified human participants for preference tuning and studies, but lacks managed end-to-end labeling pipelines. | [.md](https://openaitools.app/tool/prolific-com.md) |
| 2 | [Invisible Technologies](https://openaitools.app/tool/invisible-technologies-inc) | 1,364,520 | +64.4% | Contact for Pricing | Blends custom software with dedicated human expert teams to handle complex operations, but operates as a bespoke service. | [.md](https://openaitools.app/tool/invisible-technologies-inc.md) |
| 3 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | Combines robust data labeling tools with automated workflows, but focuses more on software tooling than managed human workforces. | [.md](https://openaitools.app/tool/labelbox.md) |
| 4 | [Scale](https://openaitools.app/tool/scale) | 616,915 | +12.5% | Contact for Pricing | Provides enterprise-grade AI training data and model evaluation at massive scale, but often with higher enterprise pricing. | [.md](https://openaitools.app/tool/scale.md) |
| 5 | [GPT Workspace](https://openaitools.app/tool/gpt-workspace-1) | 431,507 | +43.8% | Freemium, Free Trial, Paid | Bring ChatGPT, Claude and Gemini into Google Docs, Sheets, Slides and Gmail | [.md](https://openaitools.app/tool/gpt-workspace-1.md) |
| 6 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | Delivers advanced multimodal data curation and annotation infrastructure, but requires your own annotation workforce for labeling tasks. | [.md](https://openaitools.app/tool/super-annotate.md) |
| 7 | [Arize AI](https://openaitools.app/tool/arize-com) | 249,028 | +3.2% | Paid, Contact for Pricing | Agent observability, evaluation, and continuous improvement for production AI | [.md](https://openaitools.app/tool/arize-com.md) |
| 8 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | The multimodal data layer for computer vision and physical AI teams | [.md](https://openaitools.app/tool/encord-com.md) |
| 9 | [GPT for Work (Autosheet)](https://openaitools.app/tool/gpt-for-work) | 160,670 | -13.5% | Free Trial, Paid | AI spreadsheet agent for Excel and Google Sheets | [.md](https://openaitools.app/tool/gpt-for-work.md) |
| 10 | [Defined.ai](https://openaitools.app/tool/definedcrowd-com) | 146,251 | -21% | Contact for Pricing | Offers pre-packaged AI training datasets and custom data collection services, but with a smaller global crowd than Appen. | [.md](https://openaitools.app/tool/definedcrowd-com.md) |

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Source: https://openaitools.app/compare/appen-com-vs-numerous

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