Taza AI

AI systems are becoming a new buyer of proprietary knowledge. Instead of humans searching and reading webpages directly, AI agents increasingly retrieve, synthesize, and act on information on behalf of users. But the problem is that the internet’s business model was built for human readers, not AI retrieval. While publishers have subscription systems, ads, and enterprise licenses, they do not have infrastructure for dynamically pricing how AI systems access and use their content in real time. Taza is building the pricing and transaction infrastructure for AI access to trusted knowledge. We work with publishers to determine the value of specific content in specific AI contexts based on factors like freshness, domain authority, exclusivity, and downstream use case. We then help power dynamic pricing and licensing decisions when AI systems retrieve or transact on that knowledge. Our wedge is starting directly with large publishers - we recently signed a paid pilot with one of the world’s largest publishers to build a dynamic pricing engine for enterprise information products and prototype AI-native experiences around trusted editorial content. Long term, we believe there will be billions of AI agents retrieving information and transacting on behalf of humans. As that happens, the atomic unit of internet monetization shifts from pageviews and impressions to knowledge access itself. The market will need a neutral pricing and transaction layer for that economy.