# AI consulting and development in Minneapolis, MN > 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. Canonical: https://www.techfabric.com/ai-development-minneapolis Serving: Minneapolis, St. Paul, Bloomington, Eden Prairie, Rochester, Duluth Headquarters: 1530 E Williams Field Rd, Ste 201, Gilbert, AZ 85295. No office in Minneapolis. --- ## Why Minneapolis work is our work 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. ## 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. [AI consulting in Phoenix](https://www.techfabric.com/ai-consulting-phoenix) ## Work a buyer here would recognise 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. ## 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. ## Questions ### 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. ### 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. ## 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. ## Working with us from Arizona 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. Most delivery is remote or hybrid. We travel for discovery, workshops and the opening weeks of a build.