About
I build things that work
while you don't.
Not systems that need babysitting. Not dashboards that require a consultant to interpret. Intelligent, autonomous workflows that solve a specific problem and then quietly keep solving it.
The Lego Moment
When I was a kid, I loved Lego. Not the kits — the freeform building. I'd look at a pile of blocks, picture something in my head, and start connecting pieces until it existed. I always knew which blocks I needed and how they fit together.
That's still exactly how I work. Except now the blocks are AI models, orchestration frameworks, vector databases, automation pipelines, and a few things I've built myself. And the things I'm building aren't toys — they're systems that run real businesses.
Before AI, the building was the bottleneck. I could see what I wanted to create, but getting there took months. Now I can visualize something, assemble the pieces, and make it real — fast. AI didn't replace the skill of knowing what to build. It removed every excuse not to build it.
What I Actually Do
The problems are different every time. The approach is the same: understand the problem deeply, figure out which blocks to use, build something that runs itself.
Local Business
My brother owns a concrete leveling company. I built him an invisible system that monitors his website, watches his competitors, identifies SEO opportunities, generates content, and measures results — automatically. He gets a weekly briefing. That's it.
Manufacturing
A manufacturing client was spending hours responding to RFPs. Their sales team had to manually match incoming requests specifying competitor products and rewrite them. Now a system does it in seconds. Same quality, zero manual effort.
Finance
A finance team was manually reviewing hundreds of credit card transactions and assigning GL codes — tedious, error-prone. Now a system makes the assignments automatically, flags outliers, and surfaces spending trends that weren't visible before.
Hospitality
A restaurant group wanted to stop reacting to problems after the fact. Now they receive intelligent operational briefings — automatically generated from review data and customer feedback — that surface what's working and what isn't.
How I Think About Things
I'm a Formula 1 fan — not a casual one. Most people watch a race and see cars going in circles. I see a data collection exercise disguised as a sport. The practice laps aren't just warming up — engineers are gathering telemetry, testing tire compounds, modeling fuel loads, simulating weather scenarios. By race day, the pit wall has made thousands of micro-decisions based on information most fans never knew existed.
That's how I look at businesses too. Most people see the surface. I tend to see the systems underneath — what's generating data, what's being ignored, where decisions are getting made slowly or badly, and what could just run automatically.
Why Angstrom Exists
I started Angstrom Systems in 2009, after years of freelancing alongside a corporate job. The decision wasn't really about money — it was about life. I watched colleagues grind for decades with the plan of enjoying themselves later, when they retired, when they had time. I decided early on that "later" was a bad bet.
Running my own business meant I could take a Tuesday off to visit my mom. It meant being around when my siblings needed me. When my son was born, it meant being there for every milestone instead of reading about them from an office.
My mom passed away earlier than anyone expected. I have no regrets about how I spent the time I had with her.
COVID slowed things down. New parenthood slowed things down more. And then around 2023, everything changed.
The Watershed
I had started studying machine learning — even took coursework through MIT. It was interesting, but while I was working through it, GPT models started appearing. I could see immediately that the human bottleneck in building intelligent systems was collapsing. The question wasn't going to be "can you train a model" — it was going to be "do you know what to build and how to connect the pieces."
I immersed myself. Not just for work — for everything. I started using AI tools for cooking research, for understanding myself better, for processing complex decisions. When you use these systems across every domain of your life, not just professionally, you develop an intuition for what they're actually capable of versus what people think they're capable of.
It felt like everything I had built — the software experience, the curiosity, the years of understanding how businesses actually operate — had been leading to this moment. Like I'd spent decades collecting the right blocks without knowing what I was building toward.
If You're New to All of This
Most of my clients aren't AI experts. They're business owners and operators who've heard that AI can help them, but aren't sure where to start, what it would actually cost, or whether it would even work for their specific situation.
That's a completely reasonable place to be. The landscape is confusing on purpose — there are a lot of people trying to sell you things. My job isn't to sell you a solution before I understand your problem. It's to ask good questions, explain what's actually possible in plain language, and then tell you honestly whether technology is the right tool — or whether you need something else entirely.
I won't use words like "synergy." I won't sell you a hammer when you need a saw. And I won't pretend something is more complicated than it is to justify a bigger bill.
If you want to have a conversation and just see what's possible — that's a fine place to start.
Let's talk.
Tell me about the thing that's taking too much of your time, or the problem you keep putting off because it seems too complicated.
Get in touch— Andrew Kaiser, Angstrom Systems, Inc. | Minneapolis, MN