AI consulting and development · Minneapolis, MN
AI consulting and development for Minneapolis companies
Your agents never left the pilot because nobody agreed what retail needs fast and what a regulated team needs proven. We build agents for production with the checkpoints each side needs, retrieval that cites its sources and evals that put a number on every change, and our senior engineers stay on the work. Twin Cities retailers and Medical Alley's device makers sit at either end of that line, a grain trader in between.
Founded
2017, and still independent
Bench
115+ engineers, 80 Databricks-certified
Experience
Fifteen years average, per engineer
Serving
Minneapolis, St. Paul, Bloomington, Eden Prairie
Medical device manufacturing, two of the country's largest retailers and agricultural trading, all headquartered here rather than branch-officed. If you're on the medtech side you need provable safety from AI, and on the retail side you need speed, and the same runtime serves both.
AzureTechFabric is a Databricks partner with an award-winning Databricks engineering team, 80 of them Databricks-certified, and a Temporal partner. Where a system reaches past the workspace we build on Azure, AWS and Google Cloud.
What ai consulting and development covers
Agents that hold state
A task that runs for three days, calls six systems and waits twice on a person cannot live in a request handler. We build agents on a durable runtime, so a deploy in the middle of a run does not lose the run, and a retry does not send the same email twice.
Retrieval that cites what it used
An answer nobody can trace is an answer nobody can defend. Retrieval is built so every response carries the documents behind it.
Evaluation, before and after
Without a score, every prompt change is a matter of opinion. We put deterministic scorers and model-based judges in front of the thing so a change ships with a number attached rather than with a feeling.
Human approval where it belongs
Some actions should stop and wait for a person. That gate is part of the system rather than a policy document, so an agent that wants to issue a refund pauses, the approval is recorded, and the run picks up where it left off.
Cost you can see
Model spend, retrieval infrastructure and the review time a system still needs are the numbers that decide whether it stays live after the first quarter. They get instrumented at build time, not discovered on an invoice.
Governed data access
An agent reads through the same grants a person would. On Databricks that is Unity Catalog, so a model that tries to reach a table it has no grant for fails the way any principal fails, rather than because the prompt asked it nicely.
AI consulting in Minneapolis
AI consulting in the Twin Cities serves two very different buyers, Medical Alley's device makers and the retailers on Nicollet Mall and in Richfield. Device makers need provable safety and retailers need speed, so we set each use case's checkpoints first and rank the work by return under those limits.
Every software change has to explain itself
Two rulebooks share Minneapolis. Medical Alley's device makers answer to the FDA, whose quality system rule has incorporated ISO 13485 since the QMSR took effect on 2 February 2026. The retailers headquartered on Nicollet Mall and in Richfield answer to PCI DSS for every card they take. On either side, a change to software has to be explainable after the fact.
The FDA's guidance on predetermined change control plans lets a device maker agree in advance how an AI model may change after clearance. We think retail should borrow the idea. Write down which model changes ship on an eval score alone and which need sign-off before the first release, and the holiday freeze stops being a guess about what's safe to touch.
That plan is the first thing we deliver. We list every model and rule the system will run, sort each kind of change into automatic or approved, and tie each to the eval or audit record that proves it. For a device team the result maps onto design controls, and for a retailer it becomes the change calendar around peak.
Clients we have done this for
Retailers and consumer goods companies judge a warehouse by how much more the same floor can move with less manual handling. Funko's warehouse management system was built to cut operating expense and reliance on manual work, and it doubled operational efficiency.
Warehouse management
Funko
Funko consolidated its distribution into one Arizona warehouse and needed the system running it to keep up. Our engineers went on-site and sat with the warehouse and operations teams, extended the module Funko already had instead of starting over, and the warehouse doubled its operational efficiency.
Also for
How an engagement runs
01
Two weeks, fixed fee
An AI Readiness Assessment reads what you already run, names the use cases that will survive your data and your permissions, and puts a number on what each will cost to operate. It ends in a written document that is yours either way.
02
One system, named
We pick the first thing to build with you and say what done looks like before starting. A first system that reaches production beats three that reach a demo.
03
Build it with your team
Your engineers are in the repository with ours from the first week. The pattern has to be one they can extend after we leave, which does not happen if they meet it at handover.
04
Run it, then hand it over
We stay on the pager while it settles, because the design decisions look different when the person making them is the one being woken. Handover happens when it is boring, not when the invoice is due.
Two weeks, fixed fee, and a written plan whether or not you build it with us.
Tell an engineer what you want to build
A senior engineer reads it and replies within one business day, usually with the questions that decide the first two weeks.
Around Minneapolis
Applied AI, from Saint Paul to Minnetonka
Minnesota's Applied AI nonprofit runs two things worth a calendar slot. Its AppliedAI Meetup, about 6,000 members, holds evening talks in Minnetonka or at Lab651 in St Paul, and its full-day Applied AI Conference uses the Saint Paul RiverCentre on Kellogg Boulevard. GDG Twin Cities runs hands-on agent workshops and puts on DevFestMN at the University of St. Thomas' Schulze Hall downtown on 5 December.
The meetup's range, from demand forecasting to software delivery with agents, suits a metro whose headquarters run from big-box retail to Medical Alley's device makers. A retailer cares what an agent costs and how fast it answers on the busiest day. A device maker cares what happened when the model was wrong and a regulator asked why. Those are different checkpoints on the same runtime, and they're set per use case.
The Minneapolis-St. Paul-Bloomington metro area. Minnesota: Anoka, Carver, Chisago, Dakota, Hennepin, Isanti, Le Sueur, Mille Lacs, Ramsey, Scott, Sherburne, Washington and Wright counties. Wisconsin: Pierce and St. Croix counties.
Lighter shape: the city itself. Dot: downtown. County boundaries from the US Census Bureau, 2023.
Meetup · Monthly or more often, weekday evenings
AppliedAI Meetup
About 6,000 members and talks from demand forecasting to agent-driven software delivery, so both the retail and the device side of the metro show up.
Applied AI, a Minnesota nonprofit. Rotates between Minnetonka and Lab651, 550 Vandalia St, St Paul.
User group · Several events a year
GDG Twin Cities
Hands-on workshops on agents and Google Cloud, where you build something during the evening and see where it breaks.
Google Developer Groups volunteers. Venues vary, including Lab651, St Paul.
Conference · Annual, usually in May
Data Tech (MinneAnalytics)
More than 1,000 people at Best Buy's headquarters, with an AI focus and a jobs panel that shows what local employers are hiring for.
MinneAnalytics. Best Buy headquarters, Richfield (2026).
Conference · 5 December 2026
DevFestMN 2026
Google's worldwide DevFest season comes to Schulze Hall for a day of community talks, many of them now about building with AI.
GDG Twin Cities volunteers. Schulze Hall, University of St. Thomas, Downtown Minneapolis.
Conference · 1 May 2027
Minnebar
Attendees propose and run every session, so the AI talks reflect what local engineers are wrestling with rather than what sponsors want discussed.
Minnestar, a Minnesota tech community nonprofit. Twin Cities, venue announced to registrants.
More in Minneapolis (3)
- Applied AI Conference 2026
A full-day conference on applied AI for executives, managers, startups and engineers, run by Minnesota's Applied AI nonprofit.
2 November 2026. Saint Paul RiverCentre, 175 Kellogg Blvd, Saint Paul.
- MS in Data Science, College of Science and Engineering, University of Minnesota Twin Cities
A graduate programme in methods for working with big data, with coursework that can focus on machine learning, data mining and AI. The college also offers a BS and a certificate.
Ongoing degree programme. University of Minnesota, Minneapolis campus.
- Twin Cities Data Science and Analytics
Hands-on data workshops on SQL, Tableau, Power BI and local LLMs, plus sessions on soft skills, moving between venues in Bloomington, Minneapolis and Saint Paul.
Roughly monthly, weekday evenings. Rotates around Bloomington, Minneapolis and Saint Paul.
Each listing was checked on its organiser's own page on 12 October 2026. Dates and venues move, so the link is the source.
FAQ
AI consulting and development in Minneapolis: common questions
Do you work with Minneapolis companies?
Yes, and with companies across the United States. Arizona does not observe daylight saving, so we are one hour behind you from November to March and two hours behind from March to November. A morning standup on your clock is still early afternoon on ours.
Do you have an office in Minneapolis?
The office is in Gilbert, Arizona, with teams in Amsterdam, Dnipro and Hyderabad. Delivery is remote or hybrid, and we travel for discovery, workshops and the opening weeks of a build.
We build medical devices and run retail. Different requirements.
They are, and one platform serves both because the difference is which checkpoints are enforced rather than which system you run. Software informing a clinical decision and a commerce platform under PCI both need an unexplained change to be impossible, which is the same mechanism.
What kind of AI development do you do?
Agents that carry state across a long task, retrieval that cites what it used, workflow automation that survives a restart, and the evaluation that tells you whether any of it got better. The common thread is that it has to run unattended and be explainable afterwards, which is a different problem from getting a good answer once.
How does an AI engagement start?
Usually with something short and fixed so the cost is known before you commit. The AI Readiness Assessment runs two weeks for a fixed fee and ends with a written deliverable that is yours whether or not you continue.
Also in Minneapolis
What else we build for Minneapolis companies.
Software development in Minneapolis
The platform on your roadmap has stalled waiting for engineers you can't hire fast enough, and it must hold on the busiest retail day or pass an FDA audit years later.
Databricks consulting in Minneapolis
Your lakehouse must answer an FDA auditor about change history and keep up on the busiest retail day, and the migration to get there has stalled.
AI consulting and development elsewhere
The same work, in other metros. The full list is here.
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