Grably is a multi-modal human interaction data research lab that captures and models complex human activity and decision-making processes. The company structures proprietary datasets combining physical motion, physiological signals, vision, speech, and contextual cues for AI development. These extensive, multi-signal datasets support research in multimodal learning, cognitive modeling, and human-AI collaboration.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
AI model development is often hindered by a lack of access to diverse, real-world data needed for effective training. Acquiring sufficient, high-quality data that accurately reflects real-world scenarios can be a significant bottleneck.
Solution
Grably offers a platform providing instant access to a vast repository of user-owned datasets, including images, text messages, and video clips. This platform directly connects AI developers with data owners, ensuring ethically sourced and legally sound training data. By providing access to a diverse range of data, Grably enables AI models to be trained on real-world scenarios, improving their accuracy and effectiveness. The platform facilitates the discovery of specific data points, allowing AI models to achieve the required output quality.
Target Audience
The primary customers are AI product teams and AI/ML researchers who require diverse, high-quality data to train and improve their AI models.
Features
- Access to over 2,500TB of user-owned datasets, including images, text messages, and video clips.
- Diverse data with millions of different tags and labels.
- Ethically sourced data directly from data owners, ensuring transparent rights.
- Instant data access, enabling rapid AI development.
- Platform to connect AI companies with data rights holders.