Described at a level our clients are comfortable with.

Programmatic infrastructure

Header bidding & SSP/DSP integration for a Revive Adserver-based programmatic platform

Problem: International DSP/SSP operators running Revive Adserver needed OpenRTB-compliant supply- and demand-side integrations, header-bidding, and marketplace transaction logic — the operational backbone of a high-concurrency ad exchange.

System: Custom-built integrations and transaction logic layered directly onto their existing Revive Adserver deployment.

Automation: Bid request/response handling, header-bidding coordination, and marketplace settlement logic running without manual intervention per transaction.

Outcome: A high-concurrency, real-time system where coordination failure has an immediate revenue cost — the operating experience the AMEI framework was later formalized from.

Agentic advertising

AdCP integration proof-of-concept for an AI-native advertising platform

Problem: An AI-native advertising platform needed to automate campaign discovery, negotiation, and activation across CTV and digital placements, without relying on a traditional programmatic pipeline.

System: An AdContext Protocol integration connecting natural-language advertiser intent directly to publisher inventory.

Automation: Agent-to-agent negotiation between advertiser and publisher agents, logged and auditable at every step.

Outcome: A working proof-of-concept for agentic commerce in advertising — replacing a manual media-buying workflow with direct machine-to-machine negotiation.

Conversational analytics

AI Analytics Copilot for an existing AdTech platform

Problem: Campaign managers on an established ad-serving platform had to manually cross-reference live metrics against guideline documents to answer routine questions.

System: A conversational front door layered onto the platform's existing data infrastructure, with no migration required.

Automation: Plain-English questions answered by blending live metrics with guideline documents, with anomalies flagged automatically.

Outcome: Delivered in four weeks, with every answer sourced back to its underlying data — no black-box responses.

Fraud & traffic quality

Real-time invalid-traffic detection on the bid path

Problem: Real-time bidding traffic needed fraud and invalid-traffic scoring without adding latency to the live serving path.

System: A production IVT plugin combining rule-based weighted scoring with an unsupervised anomaly-detection layer.

Automation: Every incoming request scored automatically and routed to a Clean / Suspicious / Blocked verdict before serving continues.

Outcome: Verdicts fast enough to sit directly on the bid path without adding noticeable latency — no manual review queue for the vast majority of traffic.

Beyond AdTech — agritech/foodtech innovation

AI/IoT-enabled cooking platform concept

We've also developed an early-stage agritech/foodtech concept for an AI-enabled smart cooking platform — pre-portioned ingredient kits paired with app or QR-based cooking profiles, sensor-driven monitoring, and AI-adjusted timing and temperature to standardize a process that's traditionally dependent on manual judgment. Still at concept and prototype-design stage, it's a useful proof that our orchestration-and-verification thinking isn't specific to advertising.