Appen

What is Appen?

Appen is a global leader in providing high-quality, human-annotated datasets and services to enhance artificial intelligence and machine learning models for enterprises worldwide. Founded in 1996 and publicly traded on the Australian Securities Exchange (ASX: APX), Appen supports industries such as technology, finance, healthcare, and e-commerce by delivering tailored data solutions. Its platform enables organizations to collect, annotate, and fine-tune data for applications like chatbots, virtual assistants, and computer vision systems. Appen’s global crowd of over one million contributors, speaking more than 180 languages, ensures diverse and accurate data for AI training. The company emphasizes ethical AI development, offering customizable solutions to improve model performance and drive innovation. Appen’s mission is to empower businesses with reliable data to create impactful AI applications.

Appen's Core Features

• Appen’s platform provides end-to-end data annotation for text, images, audio, and video to train AI models with high accuracy.
• The global crowd of over one million contributors supports data collection in over 180 languages, ensuring diverse datasets.
• Customizable AI solutions allow enterprises to fine-tune large language models (LLMs) for specific industries like finance or healthcare.
• Appen’s assurance products monitor and evaluate AI model performance to ensure reliability in real-world applications.
• The CrowdGen platform enables contributors to work remotely on AI training tasks, offering flexible earning opportunities.
• Advanced data sourcing tools collect domain-specific data to enhance AI model relevance and accuracy.
• Appen’s platform supports human-in-the-loop feedback to optimize generative AI model development.
• Integration with platforms like NVIDIA AI Enterprise enhances Appen’s ability to deliver scalable AI solutions.
• The Crowd Code of Ethics ensures fair compensation and ethical treatment of contributors working on AI projects.
• Appen’s mobile app allows contributors to complete tasks like recording audio or taking photos to support AI training.
• Specialized tools for large language model fine-tuning improve model coherence and context for enterprise use cases.