55

Out of 100

N/A

Post-money

N/A

All rounds

55/100

1996

1000+ employees

March 2026

Appen is an AI training data collection and annotation company that provides human-annotated datasets, relevance judgements, and content quality evaluation services used to train and evaluate AI models for search engines, voice assistants, autonomous vehicles, and generative AI systems. The Sydney company operates a global crowd workforce of over one million contractors who perform data annotation

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M

Mark Brayan

Founder & CEO

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StagePublic
Employees1000+
Country🇦🇺 Australia

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Public · No public funding round data available yet.

Frequently Asked Questions

What is Appen's valuation?
Appen's valuation is not publicly disclosed.
Who invested in Appen?
Investor information for Appen is not publicly available at this time.
When did Appen last raise funding?
No public funding round data is currently available for Appen.
How many employees does Appen have?
Appen has approximately 1000+ employees.
What does Appen do?
Appen is an AI training data collection and annotation company that provides human-annotated datasets, relevance judgements, and content quality evaluation services used to train and evaluate AI models for search engines, voice assistants, autonomous vehicles, and generative AI systems. The Sydney company operates a global crowd workforce of over one million contractors who perform data annotation, transcription, translation, and content evaluation tasks under managed quality assurance processes.\n\nPublicly listed on the Australian Securities Exchange under ticker APX, Appen has historically generated revenue from long-term data services contracts with major US technology companies including Google, Meta, Amazon, and Microsoft. The company has faced significant revenue pressure as its largest clients have reduced external data annotation spending in favour of internal annotator teams and synthetic data generation, resulting in revenue declines and strategic restructuring since 2022.\n\nAppen competes in the AI data services market against Scale AI, Surge AI, and DataAnnotation, as well as crowdsourcing platforms including Amazon Mechanical Turk. The company faces structural challenges as generative AI and synthetic data approaches reduce demand for the human-annotated data that has historically been its primary product. Appen has been pursuing strategic alternatives including diversification into AI deployment services and government data contracts to offset declining technology company data annotation revenue, reflecting the broader market disruption facing traditional human annotation businesses.