ECOSYSTEM
Open & Transparent
AI Internet
Reinventing
Programmatic Advertising
Agentic Integration vs. Static
Autonomous Operation
Intent and marketability of queries are calculated in real time rather than bombarding users with ads at any given moment.
Recommendation vs. Request
User-Centric Ad Request
Our system operates on an agentic model, dynamically initiating ad requests rather than relying on static placements.
Privacy-First vs. Implementation-Specific
Fixed Incentives, Zero PII
Our model maintains fixed incentives for publishers while ensuring that no personally identifiable information is shared in the ad request process.
Contextual vs. Highest Bid Matching
Relevance Over Bid
In our adjusted auction model, contextual relevance determines ad placement, ensuring that only the most pertinent advertisers participate.
Ad Rendering vs. Delivery
Integrated Personalization
Personalized ad content is rendered directly within the AI application, eliminating the need for advertisers to access user identities.
Open Standards & Specifications
New Programmatic Architecture:
We have established that you can’t slap AI on top of OpenRTB. We are reinventing the programmatic flow to be AI Native.
Innovative & Trusted Ad Specifications:
Detailed protocols and specs ensure clear data management and safe placements.
Ahead of Regulations:
AI development is lightyears ahead of regulations. We need to do our part and self-regulate. Our systems design is User & Privacy first and our incentive mechanisms are anti-fraud.