ElevenLabs provides AI audio tools, including text-to-speech and AI voice generation, in thousands of voices and 32 languages.
Appen
Appen provides high-quality, scalable data for AI models and applications.
Appen provides high-quality, scalable data for AI models and applications.
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Product information
What this product does
Appen provides high-quality, scalable data for AI models and applications. They offer an end-to-end platform, flexible services, and deep expertise to ensure the delivery of diverse data crucial for building foundation models and enterprise-ready AI applications. Appen supports the AI lifecycle by providing software to collect, curate, fine-tune, and monitor traditionally human-driven tasks, creating efficiencies through a trustworthy process. They offer AI training data, data annotation, data collection, LLM training data & services, multilingual AI, evaluation & benchmarking, supervised fine tuning, and off-the-shelf datasets.
Sourced from appen.com
Works With
Platforms
- Web
- API
- iOS
AI Models
- Claude
- Gemini
- Midjourney
Problem Solved
What problem does Appen solve?
Appen provides data and services to improve AI model performance and accelerate AI development.
Company & Maker
Who built Appen?
- Company
- Appen Limited (appen.com)
- Product
- Appen provides high-quality, scalable data for AI models and applications. They offer an end-to-end platform, flexible services, and deep expertise to ensure the delivery of diverse data crucial for building foundation models and enterprise-ready AI applications. Appen supports the AI lifecycle by providing software to collect, curate, fine-tune, and monitor traditionally human-driven tasks, creating efficiencies through a trustworthy process. They offer AI training data, data annotation, data collection, LLM training data & services, multilingual AI, evaluation & benchmarking, supervised fine tuning, and off-the-shelf datasets.
- Live since
- Dec 2023
The maker hasn't published a public statement we can verify yet.
Researched with AI · Data refreshed 2 weeks ago · How we score
Appen provides data annotation, collection, and curation services for training AI models, used by ML teams and enterprises needing high-quality training data.
Who should use
Buyer-fit is derived from approved personas and use-case evidence. Search-volume noise stays labeled separately.
Best-fit workflows
- Improving AI model performance through high-quality data
- Building foundation models and enterprise-ready AI applications
- Collecting, curating, and fine-tuning data for AI projects
- Training AI engines for conversational experiences
- Annotate images for computer vision models with bounding boxes and segmentation masks.
- Collect and transcribe multilingual audio data for speech recognition systems.
Pricing reality
Vendor stated
Custom pricing based on project scope and volume
Actual cost
Enterprise contracts with minimum commitments; per-unit pricing for annotation tasks
Hidden costs
2 hidden cost warnings — unlock to view
Pricing reality
Verified May 2026 / Vendor pricing evidence only
Starting price
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True cost for your case
LIVE ESTIMATEEstimated spend
--Starting price has not been verified from a linked pricing source yet.
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Engagement signals (30d)
Based on 6 linked public signals.
Mindber Activity Score™
Score locked
HOW THIS TOOL SCORES
Scores compare this tool with 244 similar tools in AI Models. Use it to judge Innovation and Capability before you shortlist.
Innovation Index™
Is it new, different, and easy to understand?
Functionality Score™
Does it cover the jobs buyers expect, and can it keep up?
Low confidence (40%) - some sub-scores have thin evidence.What this means →
Data sources
Traffic & search proof
Public view keeps the ratio story. Paid view unlocks exact monthly visits, full region coverage, and CPC-level keyword intelligence.
Latest traffic snapshot
Monthly visits
1.2M
Avg visit duration
00:01:34
Pages per visit
3.25
Bounce rate
44.62%
Traffic trend
Month-by-month visits from linked public traffic evidence.
Geography
Top regions
Exact monthly traffic is paid-only. Public view keeps percent share only.
Traffic sources
Source mix snapshot
Public view keeps the ratio snapshot. Minor channels stay behind the paid view.
Top keywords
Brand terms stay labeled separately from intent and comparison demand.
| Keyword | Segment | Traffic | CPC |
|---|---|---|---|
| appen | Brand term | 159.5K | |
| appen jobs | Brand term | 7.28K | |
| appen ai | Brand term | 2.2K | |
| appen login | Brand term | 2.6K | |
| data annotation | Intent / comparison | 287.73K |
FAQ
Only linked Q and A rows are shown. Empty FAQ data stays hidden.
Social mentions
Only linked public mention evidence is shown here.
Showing top 3 of 6 linked mentions.
Sources and methodology
Only evidence with a linked source record or explicit feature provenance is shown here. Data without provenance stays off the page.
COMMUNITY CREDITS
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