// ai engineering, delivered

Turn your AI mandate into working systems.

Fishtown AI brings senior AI engineering to companies that know AI matters but need help shipping it. We build the systems, then train your team to run them.

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// who we help

For teams handed an AI mandate and no path to it

We work with teams at the point where the mandate is set but the path isn't.

You have an AI mandate you don't know how to meet

We translate executive AI goals into concrete, shipped systems. Not slide decks.

You see AI's potential but lack the technical chops

We bring senior AI engineering to build what your team can't yet build alone.

Your team needs to use AI effectively

Hands-on training so your people work fluently with modern AI tools every day.

You're losing to competitors who already adopted AI

We move fast to ship production AI where it changes the numbers you're measured on.

// how we work

The impressive part of AI is easy. The reliable part is hard, and it's the part we've done for decades.

Anyone can wire up a model and get a demo that dazzles in a meeting. The hard part is getting that same system to work on your real data, inside your real workflows, and to keep working after we leave. That's engineering. It's the data pipelines, the integration, the evals, the monitoring, the unglamorous failure cases. We've built production software across web, data, ML, and devops for decades. We know that's where AI projects live or die, so we build for it from day one.

// our process

Four stages, one direction

We meet you where you are and take you to the next stage: from your team using AI well, to AI running safely inside your business. You don't have to start at Stage 1.

  1. 01

    Productivity

    Standardize the AI tools your team uses. Give those tools real context about your business, your data, and how you work, so they produce useful output instead of generic fluff. Coach the people who resist. Adoption is a people problem before it's a tooling one.

  2. 02

    Agentic workflows

    Hand the repetitive work to agents that take a task from request to finished result, with a person reviewing every output. Think research, drafting, data entry, routing requests. This is where the productivity curve bends.

  3. 03

    AI your customers touch

    AI features your customers actually use: answering their questions, sorting and routing requests, turning documents into structured data. We build it with you and hand it over, so running it never depends on us.

  4. 04

    Governance

    Track spend, control which models run where, enforce compliance, and measure business impact. The control plane for running AI at scale without surprises.

// failure modes

We've seen how AI projects fail. We build against it.

The demo that never ships.
Impressive in a meeting, impossible to put in front of a customer. We build for production from day one.
The pilot nobody owns.
It works, then quietly rots because no one's accountable for it in production. We ship monitoring and ownership, not just code.
The black box you can't touch.
The vendor leaves and your team can't change a thing. We train your team and hand over everything.

// who does the work

Senior engineers only. No bench, no hand-offs to juniors.

The people you meet are the people who build your system. Between us, that's 60+ engineer-years shipping production software across web, data, ML, devops, and AI engineering. That work includes:

ecommerce at scale

URBN brands, Pepsi, Sanrio, Rachel Roy, and Unique Photo.

data platforms

Palmetto and Health Union, plus marketing automation.

ai engineering

YC-backed startups, insurers, and Pepsi.

// start here

Bring us your hardest problem.

Tell us what you're trying to do with AI, even if it's still vague. A short scoping call, no deck, no obligation. If it's not a fit, we'll tell you.