wavebird

Quick answer

wavebird is ad-tech infrastructure that connects GenAI apps, agents, and AI surfaces to the programmatic ad market through one API. It lets publishers request and render sponsored placements while keeping prompts, chat history, and model output separate from SSPs, DSPs, advertisers, and other ad partners.

What wavebird is

wavebird is an infrastructure layer for AI products that need controlled ad monetization without becoming an SSP, DSP, or ad network themselves.

The API and SDK give the publisher control over when an ad is requested, where it can render, which formats are allowed, and how no-fill behavior should work.

How it works

wavebird runs ad selection in parallel with model generation, so the model response path does not wait for an ad decision.

The app keeps the AI answer primary, and any sponsored placement renders in a separate slot the publisher controls.

Privacy and proof

The default delivery path is data-minimizing: prompts and chat history are not sent to SSPs, DSPs, advertisers, or other ad partners.

wavebird reduces allowed context into delivery metadata, applies consent and blocking rules, and records tamper-evident proof for billable impressions.

Status

wavebird is pilot-ready infrastructure developed since late 2025. First private pilots are in preparation.

The infrastructure is built and tested, with public engineering evidence, a proof-integrity whitepaper, a completed DPIA / DSFA, full API and SDK documentation, EU-hosted infrastructure, patent-pending status, and an implementation of the Compute Sponsoring standard proposal.

What wavebird does not do

wavebird is not an SSP, DSP, ad network, website ad server, analytics platform, or a system that rewrites model prompts or model output.

  • It does not send prompts or chat history to ad partners.
  • It does not make sponsor information part of the model request or response.
  • It does not force one delivery pattern or one market-side rollout shape onto the app.

Main paths

Start with the API docs if you are evaluating an app integration.

Use Contact for rollout, technical follow-up, or campaign-side questions.

Related

Last updated: 2026-04-20

Next step

Start with the API path.

Open the API docs, download the LLM integration markdown, then create a workspace to manage your publishable and secret keys. Assisted rollout stays available for enterprise or operator-led deployment.