Appen

What is Appen?

Appen is a human data AI agent offering human data and evaluation for frontier AI, including RLHF, speech data and agentic environments. Founded in 1996 and based in Sydney, Australia, Appen helps AI labs and enterprises automate human data work and get results faster.

Key capabilities of Appen

• RLHF and safety data
• Speech and audio data
• Agent and RL environments
• Global crowd workforce
• Quality review workflows
• Model-assisted labeling

How Appen works

Appen takes text, audio and image as input and produces labeled data and evaluations. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as AWS S3, Google Cloud Storage, Azure Blob and Python SDK, so the agent works inside existing workflows.

Who uses Appen?

Appen is built for AI labs and enterprises. It suits teams that want RLHF and safety data and speech and audio data without adding headcount, while keeping people in control of review and final decisions.

Appen vs Scale AI

Appen is often compared with Scale AI. Appen stands out for RLHF and safety data and agent and RL environments. The right choice depends on your workflow, integrations and budget, so compare both on a real task.