Description
Grably is a multi-modal human interaction data research lab dedicated to bridging the gap between AI and the real world. Their mission is to capture and model complex human activity and decision-making processes by integrating various signals, including physical motion, physiological data, gaze and vision, speech, intuition, and contextual cues. The company believes that AI becomes truly meaningful when it can act as a real teammate, possessing a deep understanding of human actions, decision-making logic, and interaction patterns.
The Grably process involves several key stages. First, they define the focus, concentrating on critical aspects of human activity, attention, and decision-making that current AI struggles to model. Next, they capture synchronized multi-signal data in both controlled and natural environments, encompassing motion, gaze, voice, context, and physiology. This data is then structured, aligned, annotated, and validated for scientific precision and cross-modality integrity. Grably scales its operations to include large, diverse human populations and real-world settings, ensuring data generalizability and scalability. Finally, they maintain living datasets, continuously updating, re-verifying, and enriching them to reflect evolving technologies, behaviors, and contexts.
Grably's extensive datasets are utilized by leading AI labs and research teams working on multimodal learning, cognitive modeling, human-AI collaboration, and decision-making analysis. These datasets empower the development of AI systems capable of becoming genuine collaborators. The company offers a variety of datasets, including multi-modal conversational data with billions of messages in over 100 languages, diverse video data covering various activities, and structured sports event data. They also provide medical data, including images, lab test results, and medical records. Grably also supports custom dataset design for clients with specific research objectives, ensuring tailored data solutions.
Grably Datasets's Core Features
Multi-modal data capture (motion, physiology, gaze, speech, context)
Structured and annotated human interaction data
Focus on decision-making and human activity modeling
Large-scale datasets with millions of participants
Proprietary dataset development
Data alignment and cross-modality integrity
Continuous dataset evolution and enrichment
Support for multimodal learning research
Enabling human-AI collaboration models
Conversational grounding and user cooperation data
Video data for reasoning and generation tasks
Medical data for AGI and AI assistants
How to use Grably Datasets?
Explore Datasets: Browse Grably's catalog of multi-modal human interaction and conversational datasets.
Define Research Needs: Identify specific data requirements for your AI development goals.
Request Data Access: Inquire about accessing existing datasets or custom dataset design services.
Integrate Data: Incorporate Grably's structured data into your AI training and research pipelines.
Develop AI Models: Utilize the data to train AI for enhanced understanding of human behavior and collaboration.
Grably Datasets's Use Cases
- Human-AI Collaboration
- Multimodal Learning
- Cognitive Modeling
- Decision-Making Analysis
- Conversational AI
- Video Generation
- AI Medical Assistants
