Now accepting early partners

The monetization layer for AI applications

Context-aware ads inside AI chats and agents. Built for modern AI workflows.

The problem

Traditional ads break AI experiences

Banners and pop-ups don't fit conversational AI. Monetization needs a new primitive.

Banner blindness

Display ads interrupt chat. Users ignore them—or churn.

Context collapse

Generic ads miss intent. In AI, irrelevant ads become noise.

No native primitive

AI apps need purpose-built monetization. Web-era ad tech wasn't built for agents.

The solution

Monetization that understands context

Our SDK serves intent-matched sponsored messages in real time—without breaking the chat flow.

Context-aware

Understands the full conversation to surface relevant opportunities

Intent-driven

Identifies user goals and matches them with appropriate offers

Native integration

Ads flow naturally within AI responses, not alongside them

AI Assistant
I'm planning a trip to Tokyo next month. What should I pack?
Tokyo in spring can change quickly—pack layers and plan for transit. Here are the essentials...
Sponsored

Travelers often pick lightweight carry-ons and JR Rail Passes. Save 15%.

Bring comfortable shoes and a compact umbrella—you'll walk a lot and weather shifts fast...

Why teams choose us

< 30 ms

Median decision latency

+18–32%

Revenue uplift vs. non-native placements

99.9%

User retention

15m

Average SDK integration time

Use cases

Built for the AI application stack

Works from chatbots to multi-agent systems.

AI Chat Applications

Monetize chats without disrupting the conversation.

In character-based AI apps, sponsored messages appear as in-world suggestions without breaking personality or immersion.

AI Agents & Copilots

Sponsored suggestions inside agent workflows.

Agents surface sponsored options only at relevant decision points during task execution.

Developer Tools

Monetize dev copilots with relevant tool recommendations.

Coding copilots recommend tools and services contextually, separate from core answers.

Search & Answer AI

Attach sponsored recommendations alongside AI answers—clearly labeled and separate from core responses.

Common in search-style AI and RAG applications, where tools, services, or products are suggested after answers, not inside them.

How it works

Integration Flow

1

Install SDK

Add the SDK to your AI application in minutes.

2

Send Context Signals

Provide intent and context signals at key moments in the conversation or workflow.

3

Render Sponsored Messages

Render clearly labeled sponsored suggestions using your existing UI components.

Ready to monetize your AI application?

Join the early partner program. Get access and start integrating.