What we do
Everything we do, we run for you. StatLogic is an outsourced data engineering firm — we build, host, secure, and maintain the whole stack, so your team never has to. Three steps, in order:
How it works
Data Strategy is optional: if you already know the numbers you run on, start at Data Engineering. Implementation is a phase of the build, not a separate service. In the first one to two weeks we map every source your business runs on — CRM, payments, ERP, ops — and connect them to a unified pipeline. By week four your raw data is structured into clean, tested models and your stack is production-ready. Then you go live: your warehouse is running, your AI is connected via MCP, and your team asks questions in plain English and gets answers from live data — no SQL, no waiting. From there we monitor every pipeline, model, and query around the clock and add new sources as you scale.
The same stack, read from six seats.
Defined once. Trusted everywhere.
How many hours last quarter did your team spend reconciling figures before the board meeting? With StatLogic, every metric — margin, CAC, runway — is defined once and lives in one place. You ask your AI. You get the answer. No requests, no waiting, no version confusion.
Full business picture. One question away.
You shouldn't need to schedule a meeting with ops to find out how the quarter is tracking. Ask your AI directly — live data, plain English, any time you need it. Weekly AI briefings keep your team aligned without a standing review.
Production stack in 2–4 weeks. Zero headcount.
An in-house data team costs $250K+ a year before you've written a line of code — then you own and maintain the pipeline forever. StatLogic builds, runs, and maintains the whole thing: ingestion, transformation, warehousing, and AI access — monitored around the clock with no internal headcount to carry. Capability without the commitment.
Know what's working. Before the meeting.
Which campaigns drove revenue last quarter? Where did you lose the funnel? With StatLogic, marketing and revenue data live in the same model — so you stop triangulating spreadsheets and start showing up with answers. Attribution, CAC, pipeline contribution — all in plain English, any time you need it.
Operations, visible. All of it.
Headcount, throughput, margins by department — scattered across systems you have to reconcile by hand. StatLogic connects your operational data into one model so you can see what's performing, what's slipping, and where to focus. No tickets to the data team. No waiting on a report.
Production-grade infrastructure. Fully managed.
Production-grade data infrastructure built on dbt, Snowflake, and automated data pipelines — fully managed. Stop building pipelines, start delivering insights.