Technical Architecture & Ecosystem

Architected For Zero
Model Disruption.

How Advia operates alongside AI applications. Understanding the parallel execution pipeline, air-gapped security model, and verified campaign delivery network.

Parallel Execution Model

How Advertisements Are Served

Advertisements are never sent to or processed by the LLM.

HOST AI APPLICATION

User submits prompt query

Stream A: Model Inference

Host LLM / Foundation Model

Processes tokens, queries vector search, performs reasoning. Prompts stay 100% private inside your LLM stack.

✓ Completes response stream
Stream B: Waiting Experience

Advia SDK & Backend

Validates application API key, pulls an approved campaign from cache, and mounts the offer in your client UI.

✓ Instant dismissal on completion
LLM Response finishes → Advia SDK unmounts seamlessly with 0ms lingering delay

1. Advertiser Upload & Target

Advertisers build campaigns specifying target AI categories, flight dates, headlines, and coupon promo codes.

2. Admin Moderation & Verification

Advia administrators verify every ad for quality, safety, and legitimacy before authorizing distribution.

3. Low-Latency Edge Delivery

Approved campaigns are cached at the edge to guarantee sub-10ms response times to SDK requests.

4. Unified Conversion Analytics

Developers see revenue and fill rates; advertisers see verified impressions, CTRs, and coupon redemptions.

Explore the SDK in Action

Test the live simulator or view our comprehensive SDK implementation specifications.