Have Confidence to Deploy AI Projects with World-Class Training Data

With over 25 years of experience, we are the Data for AI Lifecycle leader. With 1,000s of successful projects in data sourcing, data annotation and model evaluation by humans, we enable the most innovative companies with AI projects succeed.

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Trusted by global leaders to power their mission-critical AI with data for over 25 years

Trusted by global leaders to power their mission-critical AI with data for over 25 years

Data for AI Lifecycle

Developing high-quality AI requires focus on each step of the AI lifecycle, however more than 80% of the effort is spent on managing data. Appen unleashes the potential of your AI by solving data sourcing, data annotation and real-world model testing needs.

Data Sourcing

Pre-Labeled Datasets
Data Collection
Synthetic data

Data Annotation

Data Annotation
Knowledge Graph & Ontology Mapping

Model Training

Pre-Labeled Datasets
Data Collection
Synthetic data

Model Evaluation by Humans

Model Validation
AI System Benchmarking

What is the Appen Difference?

Trust

State-Of-The Art Data Privacy and Security

On-site secure data annotation and collection capabilities in Europe, US and Asia
Global work-from-home secure workspaces and single sign-on capabilities
Data privacy and security compliant, holding all major accreditations and certifications

Quality

High-Quality Results Delivered Consistently

Track record of delivering high-quality results at large scale for long-standing customers
Proven methodology and expertise to measure and delivery quality results
Reduced bias in results thanks to our globally representative workforce of over 1M in 170+ countries
Built-in features that monitor and improve quality during and after annotations

Usability

Easy to use Data for AI Lifecycle Platform

Variety of delivery models, ranging from self-service on our platform to fully outsourced
Intuitive Graphical User Interface with annotation job templates and 24/7 support
Powerful API integrations to connect into your existing MLOps infrastructure

Scale

Proven Ability to Scale Large Data Batches Across All Use Cases

Over 25 years of working with world’s largest and most innovative AI companies
Broad and deep data modality support
Over 1M crowd workers provide unmatched workforce diversity and scalability

Speed

High-Quality Training Data Accessible at Greater Speed

Pre-labeling powered by machine learning models to increase data annotation speed
Workflows to automate complex multistep tasks and sequential jobs

Data Sourcing

Pre-Labeled Datasets

We offer immediate access to 250+ pre-labeled datasets allowing you to jump-start and accelerate your AI projects.

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Data Collection

We have extensive experience with large scale custom data collections covering audio, image, testing, sentiment and point of interest. Utilize our global crowd workforce and secure locations to source new and unique training data, allowing you to train your models on data specific to your use case and target markets.

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Synthetic Data

Leverage our data products and expertise to artificially generate data enabling you to access difficult to obtain or edge case data.

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Data Preparation

Data Annotation

Leverage the combination of our innovative data annotation platform and global workforce to create the highest-quality training data for your ML projects.

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Knowledge Graph & Ontology Mapping

Work with our knowledge graph and linguist experts to design taxonomies and ontologies that will deliver the optimal results for graph-based deep learning.

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Model Evaluation by Humans

Model Validation

Understand how your model works in the real world by testing with a representative sample of target users.

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AI System Benchmarking

Compare model performance to competitors to ensure best-in-class results.

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Learn more

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Latest News and Resources

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The White House’s Artificial Intelligence voluntary safety commitments missed the most essential component in the safeguarding of AI: human oversight.