Where machine intelligence meets the bid stream.
We partner with publishers, SSPs, and DSPs to build custom ML systems that move the metrics that matter.
Every auction environment is unique — shaped by its supply composition, bidder behavior, and latency constraints. Generic ML fails here. We build AI systems that understand these dynamics from the ground up.
We sit at the intersection of applied research and production engineering: publish what we discover, deploy what we prove, and transfer the capability so your team owns the outcome.
Every model is trained on your data, for your auction environment. We don't retrofit general-purpose AI — we build from first principles.
Research that can't survive sub-10ms latency constraints never leaves the lab. Our systems are built for the bid stream from day one.
We don't create dependencies. Every engagement ends with your team owning the models, the pipeline, and the methodology.
Our published work isn't marketing — it's the foundation of every system we build. We share our methods because rigor is our advantage.
From optimization engines to agentic systems — built for your stack and auction environment.
Production-grade ML systems for the foundational problems of programmatic advertising — pricing, routing, scoring, pacing, and fraud.
Next-generation autonomous systems that reason, negotiate, and optimize across the full advertising lifecycle.
The platform layer that makes ad tech ML possible at scale — from training pipelines to sub-millisecond serving.
The right team at the right stage — matched to your organization's ambitions.
A high-impact, multidisciplinary strike force that hits the ground running. We diagnose performance bottlenecks, architect the solution, and deliver measurable lift within weeks.
A dedicated research partnership where our scientists and engineers co-develop proprietary models alongside your team — from initial hypothesis through production deployment.
A controlled experimentation environment purpose-built for programmatic advertising. Test strategies against realistic auction dynamics before a single dollar touches live traffic.
No pitch decks, no generic demos — just a technical conversation about your data and your goals.