Deterministic numbers plus agents that interpret them — built so a human can audit the why, not a chatbot guessing on raw data. Revenue, marketing, customer and demand. Live in weeks, at a fraction of an in-house team.
Works with your systems data — any OMS, ad platform, or database you already run.
Sound familiar?
Four ways commerce brands get stuck.
All of them fixable.
The data's there. The infrastructure to reach it clean, fast, and reliably isn't. By the time you think you have an answer, the decision's already been made.
Three roles minimum. And the first hire often quits before the second one ramps.
A generic AI doesn't know how your metrics are calculated or how your brand operates — on messy data it answers with total confidence anyway. Would you reassign your growth budget, or change your warehouse operation, without knowing why? On a modeled, auditable layer, every number traces to its source.
Native analytics shows revenue. It doesn't model churn risk, margin by SKU, or LTV by acquisition channel.
There's a better way to use what you already have.
3 hires to cover the stack
$300k+ fully loaded
6+ months to recruit & ramp
No retail domain expertise
6+ weeks of discovery
Strategy decks, not dashboards
Junior staff, constant handoffs
Generic, not retail-native
Ships week 1
Senior team, full stack
Built for commerce brands
A fraction of the cost
And we run the whole thing — pipelines, models, the auditable layer. We take care of everything, so your team never manages a stack. Want it inside your own warehouse instead? That's what our in-house plan is for.
Meta, Google, TikTok, Shopify, your own database — plugged in once. No CSV exports, no spreadsheets nobody trusts.
Paid media (Meta, Google, TikTok)
Your commerce platform
Your own database
No manual exports
We model and reconcile everything into a deterministic, versioned, tested layer. The AI does not compute your numbers — this layer does. Every metric traces back to its source.
Deterministic, reconciled metric layer
Versioned & tested definitions
True margin, real attribution
Every number traced to source
Niche-trained agents interpret those numbers and apply your business rules — revenue, marketing, customer and demand. Each recommendation points to the metric, period and rule behind it.
Niche-trained interpreting agents
Your business rules applied
Revenue, marketing, customer & demand
Recommendations traced to their rule
Recommendations you can act on — auditable by a human before you move budget or change operations. No black box, no hallucinated numbers.
Actionable recommendations
Auditable before you act
The why behind every call
No black box
No inflated case-study numbers. Our proof is the work itself — models built and run inside global commerce brands, now built for yours.
Retail-native
We've built attribution models, LTV prediction, and financial reconciliation pipelines inside global commerce brands. We know commerce economics from the inside.
Fractional, not freelance
Dedicated hours each week. Same team, every time. The person on the call is the person building your pipeline.
Enterprise analytics, startup speed
Propensity models, demand forecasting, GMROI analysis — shipped in weeks, not quarters.
Multiplatform attribution models
Predictive LTV & churn scoring
Demand forecasting
GMROI & assortment analysis
Financial reconciliation pipelines
Same trusted layer underneath. What changes is how much of the analysis we do with you.
The auditable system, self-serve
The auditable system, running on your data. Modeled metrics, agents that interpret them, every number traced to source. You own it and you audit it. Ships week 1.
Self-serve
Everything in Start, plus a human in the loop
We don't leave you alone with the data. An expert helps you digest the insights, decides what matters, and walks the implementation with you.
Expert in the loop
Built inside your own warehouse
Don't want a vendor in the middle? We design and build the trusted data layer inside your own warehouse — pipelines, modeled metrics, the auditable layer under your AI — and help you operate it. You keep it. See how we build it
We'll ask about your data problems, show you what we'd build first, and tell you honestly — on that first call — if we're the right team for it.
Ongoing partnerships · No long-term contracts