Nodylus Automat/ons

Shane Weickum

Good technology doesn't have to be bigger than the problem it's solving.

I build AI and technology that's efficient, reliable, and easy on the planet — choosing exactly as much computing power as a problem calls for, running it as close to home as I can, and reaching for something bigger and more powerful when that's genuinely the right call, not just the easy one.

My Philosophy

Why I care about edge computing

Most AI today runs far away, in enormous data centers, even for small everyday tasks. "Edge computing" simply means running technology closer to home — on your own device, or on nearby hardware — instead of always shipping everything off to a distant server.

Start simple

If a problem can be solved with straightforward, well-tested technology, that's where I start — before reaching for AI at all. Simple solutions are honest ones: easier to trust, cheaper to run, and far less likely to let you down.

Right-sized, not oversized

Not every task needs a massive AI model, and not every task should avoid one, either. I try to match the size of the tool to the size of the problem — sometimes that's something small and efficient, and sometimes it's genuinely a large, powerful model. What matters to me is that it's a decision, not a default.

Read the full philosophy

Case studies

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Real, working projects built the same way I build everything — kept simple, efficient, and only as complicated as they need to be.

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A little more about my background and how I got here.

Get to know me

Looking to work together?

I also run Nodylus Automat/ons, helping small businesses use automation and AI thoughtfully — sized to what they actually need, never more than that.

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