Data for AI Training
Your trusted, independent and neutral partner for data, tech and intelligence solutions to advance frontier AI. From core machine learning to emerging multimodal, multilingual and multi-agent systems, we solve next-gen training data requirements for agentic AI, physical AI and AGI.
Trusted by leading model development teams
Data for Generative AI
Improve GenAI model performance with our expert-led, post-training solutions. Our task platforms feature configurable workflows, a flexible UI with deep customization options, LLM interactivity and bespoke development. This provides your models with high-quality multimodal fine-tuning data, human-guided RLHF and critical safety services like red teaming.
Data Collection
Access diverse high-quality, multimodal and multilingual data collection solutions. Our operational experience spans complex onsite moderated field operations to large-scale digital collection, which we’ve streamlined with technology. Our intuitive data collection app features on-device data capture, dynamic UI and built-in feedback and quality checks.
Data Annotation
Transform raw, ambiguous data into enriched high-context training datasets for your advanced AI and ML models. Leveraging automated data labeling with expert-in-the-loop validation. We operate at a global scale, handling billions of annotations and complex multimodal data like 3D sensor fusion, video, image and audio data, including 500 annotation languages.
Data Validation
Ensure high levels of model accuracy and precision against real-world data with our highly qualified human-intelligence solutions. Use cases include ad, search, geo-location evaluation, relevance projects and more.
Off-the-Shelf Datasets
Spend less time collecting and structuring data and more time developing and improving your models. Our pre-curated, high-quality datasets offer a quick and affordable way to test, evaluate and benchmark your AI models across a wide range of industry use cases including LLMs, audio and speech recognition, and automotive models.