Colorado · Applied AI
AI data analytics in Denver
Built and supported here – the way a Denver business would actually use it.
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.
We've worked with enough operators in Denver to know that the brief that arrives in our inbox is rarely the brief that ends up shipped. The first thing we do on any AI data analytics project is sit with your team for a day before we propose anything.
- 01 Natural-language queries over your Xero, Shopify, CRM data
- 02 Weekly auto-summaries delivered to inbox or Slack
- 03 Anomaly detection – flags weird weeks before you notice
- 04 Forecasts that explain themselves, not black boxes
Built on: DuckDB Claude Metabase BigQuery Vercel AI SDK
Why Denver businesses choose this
Denver runs on a fast-growing tech and services economy layered on top of energy and outdoor recreation industries – AI here means keeping pace with one of the country's fastest-growing business populations.
What's different about doing this work in Denver.
A growing tech and startup scene, an energy sector rooted in the Rockies, and a booming outdoor recreation and hospitality economy. Denver businesses want AI that scales as fast as the city's population has.
We work with teams across Denver: Downtown Denver · LoDo · Cherry Creek · Boulder · Aurora · Lakewood.
How we build AI data analytics for a Denver team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Denver 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 Denver teams
What changes for Denver teams after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. Owners check the business in 2 minutes instead of 2 hours.
Owners check the business in 2 minutes instead of 2 hours.
AI data analytics in Denver – common questions
What's a typical engagement length for Denver businesses?
Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.
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 Denver 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.
Can you work with our existing systems?
Yes. The default AI data analytics stack we reach for is DuckDB, Claude, Metabase, BigQuery, Vercel AI SDK, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.
The honest version of a sales call.
No deck. No discovery doc. Just whether this is worth building and what it would cost.
Get in touch
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.