Tomorrow's most capable AI is built on data it can trust. TRIVDA licenses premium, proprietary knowledge directly from those who own it, and puts it to work for the models and agents defining the future.
Get Early AccessTRIVDA helps organizations turn proprietary knowledge into licensed AI data products. We prepare, structure, and license data for two main use cases: model training and evaluation, or controlled access by AI agents and applications.
TRIVDA is built for both sides of the AI data market. Data providers use TRIVDA to license knowledge they already own. AI builders use TRIVDA to access proprietary data that is not reliably available through the public web.
Proprietary knowledge can include datasets, research, reports, archives, documentation, expert methods, audio, video, publications, structured records, and domain-specific material owned by a company, institution, expert, or content owner.
TRIVDA is built around permissioned access, licensing terms, provenance, and usage control. Instead of scraping uncertain sources from the public web, AI builders access approved knowledge under defined commercial and usage terms.
Training Data is licensed as datasets used to train, fine-tune, benchmark, or evaluate AI models. Agentic Data is accessed at runtime by agents, copilots, RAG systems, or AI applications through controlled retrieval, API access, or similar workflows.
No. Data providers define how their knowledge may be used before anything is licensed. Usage can be limited by buyer, use case, access method, duration, volume, geography, exclusivity, or commercial terms.
Yes. Some assets are more valuable when they remain controlled and are accessed only when needed by an approved agent or application. In that case, the data does not need to be transferred as a bulk training dataset.
Revenue depends on the licensing model. Data can be licensed as a dataset, made available through usage-based access, or structured under custom enterprise terms. TRIVDA helps manage the commercial workflow and supports revenue share back to the provider.
TRIVDA helps transform raw knowledge into AI-ready assets by structuring content, adding metadata, preparing access methods, organizing delivery formats, and aligning the asset with the intended use case, whether that is training, evaluation, retrieval, or agent access.
AI builders can access specialized, non-public, or difficult-to-source knowledge across domains such as research, media, technical documentation, structured datasets, archives, expert methods, financial information, legal material, scientific content, and industry-specific knowledge.
Access depends on the use case. Training and evaluation data can be delivered as licensed datasets or curated data packages. Agentic data can be designed for controlled retrieval through APIs, MCP-style workflows, custom connectors, RAG systems, or enterprise integrations.
Yes. Model builders can use TRIVDA for training, fine-tuning, evaluation, and benchmarks. Application builders can use TRIVDA to connect agents, copilots, search tools, and AI products to licensed external knowledge.
TRIVDA is designed to keep licensing terms, ownership context, permitted use, delivery method, and usage history connected to each asset. This helps both data providers and AI builders understand what was accessed, how it may be used, and under what terms.
No. TRIVDA can work with companies, institutions, publishers, data vendors, archives, experts, and smaller organizations that own valuable knowledge. The key requirement is that the asset has clear rights and potential value for AI use.
Data providers can start by sharing what kind of knowledge they own and how they may want it used. AI builders can start by describing the domains, models, agents, or workflows they need data for. TRIVDA then helps evaluate fit and next steps.
