Your AI is only as smart as the data underneath it.

We build the collection, models, and decision layer that lets growing brands ask bigger questions—and trust the answers.

Book a data teardown See the system

COLLECTIONWAREHOUSEMODELANSWERS

STOREADSCRMSUPPORTFINANCE

CHATREPORTALERTPLAN

⊕ One governed path from first click to finance close.

Most brands don’t have a data problem.
They have a trust problem.

Data lives in silos.
Definitions don’t match.
Automations break.
AI guesses.

We build the human-in-the-loop data infrastructure underneath every confident decision.

01/ COLLECT

Storefront, ads, lifecycle, support, and finance.

02/ WAREHOUSE

One governed place for every useful signal.

03/ MODEL

Customers, orders, margin, cohorts, and attribution—defined once.

04/ DECIDE

Dashboards, AI interfaces, alerts, and answers your team can act on.

One system. Every function.

You didn’t get this far by guessing.
You won’t reach the next stage that way.

The next stage demands answers your stack was never built to give.

Where do our best customers actually come from?
What can we afford to pay for the next customer?
Which products create profit—not just revenue?

Know the answer before the meeting starts.

Get your data readiness score View the ecommerce system

01.

Acquisition

True blended CAC, payback, and incrementality.

02.

Customer

Cohorts, LTV, repeat behavior, and churn signals.

03.

Merchandising

Contribution margin by product, offer, and channel.

04.

Planning

A shared operating model for marketing, finance, and inventory.

Different business models break in different places.

We start where your economics get weird, then trace every answer back to its source.

Beauty & wellness Apparel & accessories Subscription brands General ecommerce

Build the data capability your next stage requires.

Senior data engineering, analytics modeling, BI, and strategic translation—sequenced around the decisions that matter first.

READINESS AUDIT

from $7.5k

A 2–3 week decision-backed diagnostic.

Tracking, source, and stack audit
Definition and trust-gap inventory
Prioritized 90-day roadmap

DECISION SPRINT

from $15k

Solve one expensive question in 4–8 weeks.

Required ingestion and modeling
Working decision interface
Validation, documentation, and handoff

EMBEDDED DATA TEAM

from $10k/mo

A durable data capability without assembling every role.

Pipeline reliability and modeling
BI products and enablement
Quality monitoring and roadmap

↘ Starting prices are planning ranges. Final scope follows a 30-minute data teardown.

Find the expensive gaps.

Tell us which answer your team cannot trust. We’ll respond with the first questions we would pressure-test and whether the failure looks like collection, modeling, or delivery.

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