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AI consulting and development · Portland, OR

AI consulting and development for Portland companies

AI pilots stall when nobody can say which customer data the agent may read, so they never clear security review into production. Our senior engineers build agents bounded by their user's permissions, retrieval that cites its source and evals that score every change, and they work alongside your team. Portland's athletic and outdoor apparel brands ask that at global scale, and a credit union or a hospital on Marquam Hill asks it too.

Founded

2017, and still independent

Bench

115+ engineers, 80 Databricks-certified

Experience

Fifteen years average, per engineer

Serving

Portland, Beaverton, Hillsboro, Lake Oswego

Athletic and outdoor apparel headquartered on the west side, semiconductor manufacturing in Hillsboro, and consumer brands selling worldwide from one metro. If you're one of them, AI in your catalogue, supply chain or customer conversation touches data about a person, and the system has to know whose.

DatabricksTemporalAzure

TechFabric 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 Portland

For the footwear and outdoor brands clustered around Beaverton, and the suppliers who sell to them, AI consulting in Portland starts with whose data a model touches. We map customer and supplier data permissions first, Oregon's Consumer Privacy Act included, then choose catalogue, supply chain and service use cases that pay back within those boundaries.

Oregon's privacy law asks who you shared it with

The Oregon Consumer Privacy Act took effect on 1 July 2024, and one right in it goes further than most state laws. A consumer can ask for the names of the specific third parties their data went to. In Portland that lands on the athletic and outdoor brands around Beaverton, which also answer to California's law and, for fitness or health data on shoppers across the river in Vancouver, Washington's My Health My Data Act.

Most brands answer that request from a vendor spreadsheet kept by legal, and it's out of date by the next campaign. We think the list has to come from the data itself. If every share to a vendor, a wholesale partner or an ad platform runs through a workflow that records it, an Oregon request is answered from that record, and the deletion request after it is a workflow that finishes.

The first job is to trace one customer through every system that holds them, from the storefront and the loyalty programme to the warehouse and the marketing tools, because a single complete trace shows where the data model breaks. The catalogue grants and the sharing log come next, and only then the features the roadmap asked for.

Clients we have done this for

Built to cut operating expense and reliance on manual work, Funko's warehouse management system doubled operational efficiency. It's the study for a consumer brand whose orders move from factory to carrier to warehouse and need to get through the same building without adding hands.

Warehouse management

FunkoFunko

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

  • Verizon
  • Location Services
  • SRS Distribution

How an engagement runs

  1. 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.

  2. 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.

  3. 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.

  4. 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.

A sentence or two is plenty, such as what it should do and what stands in the way today.

Goes straight to a senior engineer. By sending this you agree we can contact you about your enquiry, and occasionally about our work. Tell us to stop at any time and we will.

Around Portland

Portland's AI builders, from Nedspace to the Albina library

AI Tinkerers Portland has run builder demo nights since July 2024, every one to three months on a weekday evening, plus weekend hackathons with the rest of the network; its early sessions were at Nedspace. Portland AI Engineers is the more hands-on group, developers working through generative AI together, and its August session was at the Albina branch of the Multnomah County Library.

Portland State now offers a bachelor's degree in artificial intelligence beside its computer science master's, and the curriculum includes AI ethics and running models on cloud systems. Ethics gets practical quickly for a footwear brand holding customer profiles or a supplier sharing forecasts with a buyer. An agent built for either has to read only what its user may read, and that check belongs in code a reviewer can test.

Map of the Portland-Vancouver-Hillsboro metro area7 counties: Clackamas County, OR; Columbia County, OR; Multnomah County, OR; Washington County, OR; Yamhill County, OR; Clark County, WA; Skamania County, WA. The lighter shape is Portland city, and the red dot marks downtown Portland.

The Portland-Vancouver-Hillsboro metro area. Oregon: Clackamas, Columbia, Multnomah, Washington and Yamhill counties. Washington: Clark and Skamania counties.

Lighter shape: the city itself. Dot: downtown. County boundaries from the US Census Bureau, 2023.

  • User group · Roughly quarterly, weekday evenings

    Portland Data + AI Meetup

    Quarterly at the Beaverton City Library, a short drive from the big apparel campuses, with agendas running from governance to generative AI.

    Volunteer organisers, part of the Databricks User Groups community. Beaverton City Library, 12375 SW 5th St, Beaverton.

  • Meetup · Every one to three months, mostly weekday evenings, plus weekend hackathons

    AI Tinkerers Portland

    Builder demo nights since July 2024, plus global hackathons, so it's where you see which local developers have shipped something with a model.

    AI Tinkerers, Portland chapter. Venues vary in Portland.

  • Meetup · Occasional evenings

    Portland AI Engineers

    A hands-on group of developers working through generative AI together, a good place to find people who've used the tools your project depends on.

    Volunteer organisers. Venues vary, including Albina Library, 205 NE Russell St.

  • University · Ongoing degree programme

    Bachelor of Science in Artificial Intelligence, Portland State University

    Portland State's undergraduate AI degree covers ethics and AI on cloud systems, two subjects no agent touching customer data can skip.

    Portland State University Maseeh College of Engineering and Computer Science. Portland State University, Downtown Portland.

  • Meetup · Every few months, Wednesday evenings

    PyData PDX

    Social evenings at Loyal Legion on the Central Eastside, where Python data people talk shop about notebooks, models and the pipelines feeding them.

    Volunteer organisers, part of NumFOCUS's PyData programme. Loyal Legion, 710 SE 6th Ave, Central Eastside.

More in Portland (2)
  • Master of Science in Computer Science, Portland State University

    A 45-credit in-person master's in computer science with an optional research thesis. Course options include data science, machine learning, cybersecurity and quantum computing.

    Ongoing degree programme, starts in fall, winter or spring. PSU Engineering Building, 1930 SW 4th Ave, Downtown Portland.

  • Portland Fabric User Group (formerly Portland Power BI User Group)

    A Portland community, formerly the Portland Power BI User Group, for people using Microsoft Fabric and Power BI for analytics and AI, with monthly talks and networking.

    Monthly, usually a Wednesday evening. Portland, online and in person, including Steeplejack, Beaverton-Hillsdale Hwy.

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 Portland: common questions

Do you work with Portland companies?

Yes, and with companies across the United States. Arizona does not observe daylight saving, so from March to November we are on the same clock as you and from November to March we are an hour ahead. Either way the working day overlaps almost completely.

Do you have an office in Portland?

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.

Can you build a consumer platform that satisfies state privacy laws?

Yes, by making the data model answer the questions the laws ask: what we hold about a person, where it came from, who has read it, and how it is deleted.

Access resolves at read time through the catalogue, the event trail shows every use, and a deletion request is a workflow that finishes. Your counsel defines the obligation and we build the system that meets it.

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.