What is Grably?
Grably is a multi-modal human interaction data research company trusted by leading AI labs and big-tech companies. We specialize in providing large-scale, high-quality datasets for training and extending foundation models. Our offerings span multilingual and multimodal data, including text, image, video, audio, and documents, designed to capture real-world interaction patterns and long-tail knowledge.
Key features include high-coverage public data for underrepresented languages and regions, enabling robust multilingual performance and evaluation. Our multimodal datasets align various modalities for training models in conversational and social contexts. For embodied AI, we provide sensor and perception datasets with vision, proprioceptive signals, and custom sensor data from real-world robotic environments. We also offer large-scale video datasets for temporal reasoning and long-context understanding, as well as voice and audio datasets for speech recognition and audio-language alignment.
In the domain of code, we curate corpora for training code generation and understanding models across multiple languages and frameworks. For scientific and technical fields, we provide specialized datasets from peer-reviewed literature and domain-specific documents. Our document intelligence datasets support OCR, layout reasoning, and table extraction.
Benefits include configurable buyer-scoped datasets with anonymization, filtering, and flexible delivery formats to meet internal research, legal, and infrastructure requirements. Use cases span from training multimodal AI assistants to developing robust speech systems and advancing embodied AI research.
Our mission is to bring AI into the real world by capturing multi-signal human activity and decision-making processes, combining physical motion, physiological signals, gaze, speech, and contextual cues. We believe AI becomes meaningful when it can act as a real teammate, fully understanding and interacting with human environments.
Use Cases
Key Features
multilingual public data multimodal datasets embodied AI sensor data large scale video datasets voice and audio datasets code generation corpora scientific technical dataWho is it for?
AI labs, big, tech companies, NLP researchers, robotics teams, speech recognition engineers, code generation teams, scientific researchers
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