Case studies

Described at a level our clients are comfortable with.

Most of our AdTech engagements sit under client confidentiality, so the studies below describe the problem, approach, and outcome without naming the account. Where we can point to public evidence — like our plugin catalog — we do.

Programmatic infrastructure

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

Our engineering team has built and customized OpenRTB-compliant supply- and demand-side integrations, header-bidding stacks, and marketplace transaction logic for international DSP/SSP operators running on Revive Adserver, drawing on years of hands-on operating experience. This is the operating experience the AMEA framework was formalized from — a high-concurrency, real-time system where coordination failure has an immediate revenue cost.

Agentic advertising

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

We scoped and proposed an AdContext Protocol integration for an AI platform looking to automate campaign discovery, negotiation, and activation across CTV and digital placements — connecting natural-language advertiser intent to publisher inventory through logged, auditable agent-to-agent negotiation rather than a traditional programmatic pipeline.

Conversational analytics

AI Analytics Copilot for an existing AdTech platform

A four-week engagement to add a conversational front door to an established ad-serving platform: campaign managers could ask plain-English questions and get answers blending live metrics with existing guideline documents, every answer sourced and anomalies flagged automatically — built entirely on the platform's existing data infrastructure, with no migration required.

Fraud & traffic quality

Real-time invalid-traffic detection on the bid path

A production IVT plugin combining rule-based weighted scoring with an unsupervised anomaly-detection layer, returning a risk score and verdict fast enough to sit directly on the real-time bidding and serving path without adding noticeable latency.

Incomingrequest Featureextraction Rule + anomalyscore blended VerdictClean / Suspicious / Blocked
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.

Ingredientkit loaded QR cookingprofile read Sensorsmonitor process AI adjuststime / temp Finisheddish

Three AI-native plugins from this practice are already live at reviveadservermod.com, with two more completing testing and shipping within weeks — alongside our wider catalog of 320+ AdTech plugins shipped to over 850 clients across 180+ countries, the operating base this AI work builds on.