Web app
Appen
Appen provides expert human data for training and improving AI models. It serves companies building frontier AI systems that need high-quality, validated data.
- Platform
- Web app
- Categories
- Other
- Indexed
- 2024-02-19
About Appen
What is Appen
Appen is a data company that supplies human-validated data for AI model training. With 30 years of experience, it has contributed to the development of AI systems from early NLP to modern agentic AI. The company focuses on delivering data that helps AI understand nuance, context, and complexity at scale.
Key features
Appen offers data products for various AI domains, including frontier alignment, agentic AI, speech and audio, multimodal AI, physical AI, and model integrity. It provides human evaluation and annotation services that have been used in milestones like search relevance, machine translation, and reinforcement learning from human feedback (RLHF).
Use cases
Appen's data is used by leading AI companies to train and improve models. Use cases include building foundational AI models, aligning AI with human values, developing conversational AI, and creating multimodal systems that combine vision and language. The company supports both large-scale data collection and specialized annotation tasks.
Pricing
The page does not provide specific pricing information. Interested parties are encouraged to contact Appen for details on their data solutions.
Questions
Appen FAQ
- What is Appen?
- Appen is an AI tool available as a web app in the Other category. Appen provides expert human data for training and improving AI models. It serves companies building frontier AI systems that need high-quality, validated data.
- What is Appen used for?
- Appen is filed under Other in the AITOOLIST index. Appen provides expert human data for training and improving AI models. It serves companies building frontier AI systems that need high-quality, validated data.
- Is Appen a web app, an extension or a native app?
- Appen is a web app.
Listed in the AITOOLIST index since 2024-02-19.