Governed personalization for commerce.
Your storefront is a market — every session is an auction for attention, every recommendation an allocation decision. We embed agentic hyper-personalization, recommendation, and bidding systems into mid-market e-commerce operations — with the measurement discipline and governance that make them reliable.
What we govern in your store
Mid-market e-commerce operators · Marketplaces · DTC brands at scale
Agentic shopping went vertical last year. The storefront is next.
In a single year, AI-referred traffic to U.S. retail grew as much as 4,700% — and it now converts better than traditional traffic. Adobe projects up to $1T of U.S. retail revenue mediated by AI agents by 2030.
Embedded in your stack, measured like a trading desk.
Recommendation and bidding agents touch revenue on every session — they deserve the same discipline as a trading system. Our engineers embed with your team, wire the control layer into your storefront, ad platforms, and data, and leave behind infrastructure your team operates. And the same hyper-personalization core powers our advertising work: one engine, two markets.
Every engagement lands on the same control plane: policy enforcement in the loop, evaluation before and after launch, full-run observability, and a system of record for every decision.
The same engine in advertising →Personalization you can measure and defend.
Start with one surface — recommendations, search, or bidding — instrumented from day one and measured against real baselines.
Request a pilot