Your AI is only as good as your data.

We build, run, and maintain your complete data stack — so you get real answers without hiring a team or managing a tool.

Data Strategy Session See it in action →
Your Data Sources
Shopify
Shopify
E-commerce
QuickBooks
QuickBooks
Accounting
Stripe
Stripe
Payments
HubSpot
HubSpot
CRM
Salesforce
Salesforce
CRM
+ 500 more
StatLogic Data Engine
Connect
Source ingestion
Model
Data architecture
Access
Reporting and analysis
Trust
24/7 pipeline reliability
AI Access via MCP
StatLogic · AI Access
JM
What were our top 5 products by gross margin last quarter?
SL
ProductRevenueGM %
Pro Plan$1.48M75.4%
Enterprise$2.31M70.6%
Advanced$1.09M69.0%
Growth Plan$860K67.1%
Basic$512K60.7%
JM
Show me gross margin trend across all four quarters
SL
71.4% 68.2% 74.1% 76.8% Q1 Q2 Q3 Q4
Ask anything about your data…

Trusted by

Beddy's
Crumbl Cookies
1-800 Accountant
Optimal Impact
Summitox Capital
Iron Oak Homes
AI · MCP Integration

Ask your data like you'd ask a colleague.

Most teams wait days for answers that should take seconds — an analyst request, a SQL query, a report reformatted three times. By the time it arrives, the moment has passed. Your AI of choice connects directly to your live warehouse and responds in plain English, in real time. No SQL, no tickets, no waiting.

Live warehouse data — every answer is current, not cached
Scoped by role — finance sees finance, ops sees ops
Contextual — follow-up questions keep the thread
Transparent — answers include the underlying query
Book a 30-minute demo →
StatLogic · Ask Your Data
JM
What were our top 5 customers by gross margin last quarter?
SL
#CustomerGM %
1Westfield Group74.2%
2Northstar Dental71.8%
3Cascade Partners69.4%
4Meridian Supply66.1%
5Harbor Light Inc.63.7%
JM
Which of those dropped more than 3% from Q2?
SL
Pull the supplier breakdown for Northstar…

Performance

From days of waiting
to answers on demand.

Days → Min
typical time-to-answer after go-live
Zero
SQL required to ask any question
2–4 wks
from contract to live stack

Based on avg. time-to-answer metrics across StatLogic client engagements.

How It Works

Faster than hiring. Cheaper than guessing.

We handle the full loop — ingestion, transformation, AI access, and activation. Built for lean teams that move fast and don't have a full-time data engineering hire.

Week 1–2
Connect your sources
We map every source your business runs on — CRM, payments, ERP, ops — and connect them to a unified pipeline. No broken syncs, no manual exports.
Week 3–4
Build your data model
Raw data is structured into clean, tested models. Every metric defined once — consistent across every team, every query. By the end of week 4, your stack is production-ready.
Go live
Your team starts getting answers
Your data warehouse is live. Your AI is connected via MCP. Your team asks questions in plain English and gets answers from live data — no SQL, no waiting.
Ongoing
Monitor and grow
We watch every pipeline, model, and query around the clock. New sources and models added as you scale. You never touch the infrastructure.
The Offering Ladder

A data partner that
grows with you.

We start with managed data engineering, then add higher-value services as you’re ready — from live answers to proactive insight to managed AI agents on your data.

  1. 01

    Managed Data Engineering

    Available today

    Unify, model, warehouse, and maintain your complete data stack — the reliable foundation everything else builds on.

  2. 02

    Decision Intelligence & AI Access

    Available today

    Answers from your live data. Your team asks questions in plain language and gets exec-ready reporting — no SQL, no waiting.

  3. 03

    Proactive Insight

    How we grow with you

    A recurring report — what changed, why, and what to do about it — delivered on a regular cadence, AI-assisted and reviewed by us. The first rung that actively grows the business.

  4. 04

    Managed Agents

    Where we’re headed

    AI agents on your data that automate real work — built, hosted, and run by us.

Who It's For
CFO

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.

CEO

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.

CTO

Production stack in 2–4 weeks. Zero headcount.

Hiring a data engineer costs $130K+ 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.

CMO

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.

COO

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.

For Data Teams

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.

Let’s diagnose your data.
Thirty minutes.

A Data Strategy Session: we map what’s broken and what’s possible — with a live look at your data, or a sample, so you can see exactly what it would do for you.

Book a Data Strategy Session