Provides a data licensing and provenance platform that connects rights holders with AI developers, streamlining the acquisition of high-quality, legally compliant datasets for model training. It addresses challenges like attribution concerns, legal complexities, and slow partnership development, enabling faster and more responsible AI innovation.
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 models require high-quality data for effective training, but sourcing reliable, legally compliant datasets from diverse content partners is challenging and slow. Attribution concerns, legal complexities, and inefficient negotiation workflows further hinder responsible AI innovation.
Solution
Valyu provides a data licensing and provenance platform that connects rights holders with AI developers, streamlining the acquisition of high-quality datasets for model training. The platform simplifies collaboration and negotiation workflows, ensuring hassle-free partnerships and optimal results. Valyu enables AI applications to access full-text content from various sources, including paywalled content, academic research, and web data, while providing attribution at scale. Content owners can track and monetize the usage of their content in AI models, fostering a transparent and responsible AI ecosystem.
Target Audience
Valyu targets AI developers seeking high-quality, legally compliant data for training models and rights holders looking to license their content and gain visibility into its usage in AI applications.
Features
- DeepSearch API: A multimodal retrieval API to enrich AI context with premium trusted content.
- Rev Share Partner Programme: Enables content owners to earn revenue when their content is used in model context windows and responses.
- AI Bot Analytics: Allows content owners to track AI bot activity and behavior on their content.
- Full-text search across the web, including paywalled content and academic research.
- Multi-modal search across text, images, tables, and code.
- Usage-based pricing for retrievals.
- Tools for managing and verifying the provenance of training data.