License datasets or knowledge assets as bulk data packages for AI labs, model developers, and enterprise AI teams building, fine-tuning, benchmarking, or evaluating models.
License live access to proprietary knowledge so approved AI agents, copilots, search systems, and applications can retrieve trusted information when they need it.
Long-form written content owned by publishers, media companies, research organizations, or specialist content owners.
Spoken knowledge that can be structured, transcribed, indexed, and licensed for AI use.
Visual content libraries with owned rights, context, metadata, or specialist relevance.
Organized data assets that can be licensed as packages for model development, evaluation, retrieval, or analysis.
Operational or technical knowledge that explains systems, products, workflows, processes, or standards.
Specialist analysis and proprietary research that helps AI systems understand markets, sectors, or domains.
Expert-created frameworks and ways of working that encode professional judgment or domain-specific processes.
High-value domain knowledge where accuracy, provenance, and usage control matter.
Data providers connect assets through self-serve upload, API access, secure cloud connection, or custom delivery. TRIVDA receives the source material and keeps ownership, rights, and provider context attached from the start.
TRIVDA transforms raw knowledge into AI-ready assets through a proprietary processing layer. Content is structured, cleaned, enriched with metadata, and prepared for reliable use by models, agents, and applications.
Assets are prepared according to their commercial use case. Some become licensed dataset packages for training and evaluation. Others remain available through controlled retrieval, API access, or agent workflows.
Approved AI buyers access the data under defined terms. TRIVDA logs usage, tracks which assets are used, records access history, manages billing, and supports revenue share payouts back to the data provider.