Every brand is rushing to use AI. Claude, GPT, Gemini. The models are extraordinary. But they share the same limitation: they’re only as useful as the data you feed them.
Ask an AI to optimize your ad spend without structured, first-party commercial data. Without contribution margin by creative variant, true ROAS calculated from your books, CAC segmented by audience and angle. You get confident answers built on garbage. Polished recommendations grounded in nothing.
We build the data layer that fixes this. Proper data models, deployed to your own infrastructure on Google Cloud Platform, so that when you sit down with Claude Code to make growth decisions, it’s working from your actual numbers. Real contribution margin. Real unit economics. Real creative performance data with every element tagged and traced to revenue.
This isn’t another dashboard. It’s the commercial intelligence foundation that makes every AI tool you touch actually reliable. And it gives you a compounding data asset that gets more valuable with every campaign you run.
Your financials modeled at the unit economics level. Revenue, COGS, variable fulfillment, media spend. Producing a real contribution margin figure. Not platform ROAS. Actual profit per acquired customer, updated continuously.
You define the objective: maximize contribution margin or maximize new customer acquisition. The optimization model’s reward function is set to your goal. Profit or growth, on your terms.
The system models whether your current creative iteration rate is sufficient to hit your financial targets in the defined timeframe. You see exactly what needs to run, at what volume, by when.
Want to invest more in ads? See the projected contribution margin impact before you commit the spend. Every media decision evaluated against your financial model. Not platform-reported projections.
Access to a proven creative generation framework. Systematically differentiated ad variations built from a direct-response model tested across 22 industries. Every ad is a structured hypothesis. Every element is tagged. Your AI tools can read every result.
Machine learning models trained on your performance history and continuously updated as new data flows through your infrastructure. They get sharper every week. Identifying patterns, recommending next moves, and compounding in accuracy over time.
No pitch deck. No pressure. A direct conversation about where you are, what’s not working, and whether this is the right fit. If it is, we’ll know in twenty minutes.