We build the data systems your next stage runs on.

Senior data engineering and business intelligence consulting for ecommerce: warehouses, governed models, decision products, and agent-ready interfaces—built around your business and left in your control.

Scope a data build See what we build

COLLECTIONWAREHOUSEMODELANSWERS

STOREADSCRMSUPPORTFINANCE

CHATREPORTALERTPLAN

⊕ Architecture. Implementation. Handoff. Your systems, your data.

You don’t need another analytics subscription.
You need the system underneath it.

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

We architect and implement the human-governed infrastructure underneath confident decisions.

01/ CONNECT

Bring useful storefront, ads, lifecycle, support, and finance data into an owned system.

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.

WHAT WE BUILD / NOT JUST WHAT WE MANAGE

Managed ELT is an ingredient. The engagement is the capability.

We choose, configure, or replace connectors when needed—but the valuable work is the owned architecture, business logic, interfaces, and operating discipline built around them.

01 / FOUNDATION

Owned data foundation

Source architecture, ingestion, warehouses, identity, orchestration, backfills, tests, freshness, and cost controls.

02 / BUSINESS LAYER

Governed operating model

Customers, orders, contribution, cohorts, attribution, subscriptions, and planning logic defined once with lineage and ownership.

03 / INTERFACES

Decision and agent products

Executive BI, operational tools, alerts, planning workflows, custom applications, and governed MCP or CLI access when the use case earns it.

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

Buy a working capability—not an indefinite pile of hours.

Start with a blueprint when the failure is unclear, commission a substantial build when the outcome is known, or reserve senior implementation capacity when the roadmap is larger than one release.

SYSTEM BLUEPRINT

from $7.5k

A 2–3 week architecture and decision diagnostic.

Business question and stack audit
Trust-gap and ownership inventory
Build plan, architecture, and investment options

DATA PRODUCT BUILD

from $25k

Take one valuable system from source to production in 6–12 weeks.

Required ingestion, warehouse, and models
Working BI, application, or agent interface
Tests, documentation, training, and handoff

EMBEDDED BUILD PARTNER

from $12.5k/mo

Reserved senior capacity for an evolving data roadmap.

Architecture and implementation releases
Decision products and agent-ready access
Quality, enablement, and capability transfer

↘ Starting prices are planning ranges, not software subscriptions. Final scope follows a 30-minute build-fit call.

Bring us the system you need built.

Tell us which decision, workflow, or data product is blocked. We’ll pressure-test the business outcome, identify the required layers, and tell you whether the right next move is a blueprint, a focused build, or no project.

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