divAIne Information

Building a Transaction Rail for AI agents to operate on. To support this - we build foundational models based on human understanding to always keep agents to be user centric. The internet is splitting into two - the attention internet, where humans consume, and the transaction internet, where AI agents act. But agents do not have attention. They have decision functions. They will not respond to impressions or persuasion the way humans do. They will work through mandates - what needs to be done, what constraints matter, and how every trade-off should be weighed. divAIne is building the infrastructure for this new internet. We start with an OpenRouter for search: one layer that pulls the right context from an agent, turns it into an executable mandate, routes the search across fragmented providers, and ranks the results against the actual decision. We subsidise this search so consumer-AI companies can integrate faster and at a lower cost. That gives us the supply for an AI-native ad network. Consumer agents bring high-intent decisions; brands compete only when they fit the mandate. CPM is the first commercial layer, but it is not the end state. As outcomes become measurable, the network moves from sponsored results to conversion pricing and transaction take-rates. Search is the wedge. The real business is the context, ad and transaction rail through which agents and brands transact on decision proximity.