Illinois · Applied AI

AI data analytics in Chicago

Ask your data in English, built for businesses operating in Chicago.

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What AI data analytics actually does

Stop digging through dashboards. Ask plain-English questions of your sales, jobs, and customer data – get charts, summaries, and the why behind the numbers in seconds.

The version of AI data analytics that works for a Chicago business is rarely the version a national vendor would sell you. We build the one that fits how your team actually operates – usually with fewer parts than the off-the-shelf pitch.

Built on: DuckDB Claude Metabase BigQuery Vercel AI SDK

Why Chicago businesses choose this

Chicago runs on logistics, manufacturing, finance and a genuinely diverse industrial base – AI here means fitting into operations that were already running lean before AI existed.

Why Chicago businesses are a fit for this.

A major freight and logistics hub, a deep manufacturing base, and a futures and options trading industry with zero patience for anything slow. Chicago businesses want AI that respects an operation that already runs tight.

We work with teams across Chicago: The Loop · River North · Wicker Park · Lincoln Park · Evanston · Naperville.

How we build AI data analytics for a Chicago team

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Chicago business, so value lands before the build is finished. Every engagement starts with a short call and a paid discovery if the brief needs one.

Ask your data in English.

The outcome for Chicago teams

Owners check the business in 2 minutes instead of 2 hours. For Chicago teams, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.

Owners check the business in 2 minutes instead of 2 hours.

AI data analytics in Chicago – common questions

How long does AI data analytics take to ship for Chicago businesses?

We aim for a working pilot inside 4-6 weeks – narrow scope, real Chicago businesses data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.

Are there hidden costs we should plan for?

Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.

Do you have proof this works for Chicago businesses?

Direct case study: Owners check the business in 2 minutes instead of 2 hours. Happy to walk you through full numbers on a call.

Who owns the code and the model setup?

You do, on delivery. We deploy AI data analytics into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. DuckDB sits in your account too – we don't operate it from ours.

Worth a conversation?

Even if you don't end up working with us, you'll leave the call knowing what's worth building.

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Talk to us about this

Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.