
Appen provides an AI data platform (ADAP) and managed services to collect, annotate, fine-tune, and evaluate multimodal datasets at scale using a large global contributor network.
Appen LimitedCustom and off-the-shelf data collection services including remote, on-site, device-based, and location/POI collections; supports image, video, speech/audio, text, documents, and location data, with preparation/annotation available via ADAP.
Remote collection
On-site sessions
Device collection
Custom data collection via remote, on-site, device-based, location/POI, and off-the-shelf dataset options, with workflow design and delivery through Appen’s platform and mobile app.
Remote collection
On-site collection
Device collection
Enterprise AI data platform that merges automation and human oversight to manage data preparation and model evaluation workflows (annotation, classification, preference scoring, A/B testing, user testing, red teaming, benchmarking) across multiple modalities.
Workflow customization
Multi-stage review
AI-assisted annotation
A flexible enterprise AI data platform that merges automation and human oversight to manage data preparation and model evaluation workflows across modalities (text, image, audio, video, 3D/4D), including annotation, classification, preference scoring, and evaluation methods like A/B testing, benchmarking, and red teaming.
Workflow customization
Multi-stage review
Contributor analytics
Human-expert powered sourcing, curation, annotation, and evaluation of high-quality training datasets across modalities (text, image, audio, video) including hard-to-find and niche data requirements.
Data sourcing
Data curation
Bias evaluation
Human-expert powered data sourcing, curation, annotation, and evaluation services to produce high-fidelity training datasets for deep learning and traditional AI applications across modalities and industries.
Custom collection
Human annotation
Bias review
Managed annotation services for text, audio, image, video, and multimodal datasets (e.g., sentiment, intent, NER, transcription, object detection, tracking, event detection) supported by Appen’s crowd and tooling.
Text annotation
Audio transcription
Image labeling
Services for LLM data creation and improvement including supervised fine tuning, human preference ranking (RLHF/DPO), evaluation & A/B testing, red teaming/model safety, and RAG data preparation.
Supervised fine tuning
Preference ranking
LLM evaluation
Services to support LLM development and enterprise customization, including supervised fine-tuning datasets, RLHF/DPO preference workflows, RAG data preparation, red teaming, and LLM evaluation and A/B testing.
Supervised fine tuning
Preference ranking
LLM evaluation
Licensable catalog of ready-to-use datasets across audio, image, video, text, and location data, described as spanning hundreds of datasets across many languages and countries.
Licensable datasets
Multimodal catalog
Immediate availability

Ines Wendler • Product Manager
We were expanding to a new market. Although we had a fully localized software, we were lacking resources, so our clients could not optimally use it. Appen helped us out with French lexicon data.

Rick Britt • Vice President of AI
Appen is so fast. Using their platform, we could do overnight what used to take us a month. Appen is wonderfully efficient.

Kenneth Benoit • Director of the Data Science Institute
Appen’s platform is really easy to use. What makes it great is you can reach so many different channels because of its global outreach.




Performance across Human Cloud, as measured by company interest, kudos, and business case success.


Appen provides high-quality, scalable AI training data and human-annotated datasets used to build and improve AI and machine learning systems. The company offers an end-to-end approach that combines a software platform (ADAP) with flexible services to support data collection, data annotation, fine-tuning, and model evaluation across multiple modalities such as text, image, audio, video, and specialized formats. With more than 25 years of experience in data and AI, Appen positions itself as a long-standing provider of datasets and workflow expertise that support the full AI lifecycle. It emphasizes trustworthy, traceable processes with quality controls, human oversight, and tooling designed to accelerate iteration cycles and improve model performance. Appen operates a large crowd-based workforce model, stating a global network of over 1 million contributors / AI training specialists used for collection, labeling, and evaluation tasks. The company highlights multilingual and multi-locale capabilities, including support for hundreds of languages and broad geographic coverage for both customers and contributor sourcing. Beyond delivery scale, Appen highlights compliance and security posture for sensitive workflows, including SOC 2 Type II, GDPR alignment, HIPAA compliant solutions, and ISO/IEC 27001:2013 certification (via TÜV Rheinland). It also operates multiple offices and facilities across the United States, Australia, the United Kingdom, China, Japan, the Philippines, India, and Vietnam.
Not disclosed
An independent global marketing consultancy delivering outsized growth.




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