Human data for frontier AI
The AI data and evaluation partner built for AI challenges conventional vendors can’t deliver.
Appen vs the Competition
Why leading AI teams trust Appen
Complexity
Most vendors handle straightforward annotation. Appen is built for the complex initiatives including SME RLHF, agentic evaluation, long-horizon trajectory annotation, where generic pipelines fall short.
Quality
We provide high-complexity, expert data tailored to your unique use cases and task requirements.
Scale
1M+ skilled, multilingual contributors worldwide enable us to prepare data at scale.
Speed
From project scoping to delivery, we moves at the pace frontier AI teams demand without compromising on data quality or annotation precision.
Data products for modern AI development
Coding & Agentic AI
Building agents that must execute, not just respond
Expert-designed data infrastructure that makes agents reliable at scale - built on golden trajectory creation, failure mode analysis, enterprise RAG evaluation, and full RL environments covering agentic task, verifier and reward design across coding, DevOps, ITSM, finance, and HR.
Task/verifier datasets with complexity levels calibrated against GPT pass at 16 rates (from easy <15 steps to very hard 100+ steps).
Cybersecurity
Built to expose real-world vulnerabilities and rigorously evaluate model security performance
Ground-truth vulnerability assessment datasets built by OSWE-certified ethical hackers, benchmarked against Gemini and other models with 0.72 average accuracy across 46 code repositories.
Data Collection
Custom, responsible data collection for frontier models
Custom datasets tailored to the exact conditions your model will operate in - through egocentric video, robotic sensor capture, in-cabin automotive, wearable devices, speech, image, and conversational audio across 10+ global markets, with moderated and unmoderated programs built in.
Million-scale data units delivered across 500+ languages and 100+ domains.
Frontier Alignment & Evaluation
Made to improve real-world model performance
Deep domain expertise across 90+ domains, moving models from text generators to true reasoning agents, from multi-step CoT reasoning, SME-led RLHF, and biology reasoning to adversarial red teaming, LLM-as-a-Judge rubric design, bias detection, cultural mitigation, and LLM retrieval and search functionality.
Reasoning failure detection in multi-step LLM outputs, sourced from PhD-level biologists.
Speech & Audio Data
Bespoke speech and audio data for every voice AI use case
Focusing on the natural interaction of frontier-training models to listen and speak like humans. From expressive TTS synthesis to real-time dialogue covering audio-to-text transcription, conversational AI training data, acoustic scene understanding, and dialectal speech across 500+ languages and locales.
Physical AI
Egocentric video, robotics, and embodied AI training data
Spatially precise Physical AI data layer for embodied, autonomous, and physically grounded systems - from LiDAR annotation to large-scale egocentric video datasets for world model collection.
50,000+ custom data units delivered for frontier Physical AI teams.
Voices from AI Leaders
