Operational excellence engine

Every problem is fixable once you diagnose it correctly.

That’s not optimism. It’s a pattern we’ve seen at every company we’ve worked with. The problems feel overwhelming until you actually map them out. Once you do, the path forward usually presents itself.

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01 / origin

We’ve built this once already.

We’ve been inside operations that were growing faster than the tools could keep up. We know what happens when teams patch the gaps with spreadsheets, email chains and sheer willpower. We’ve also built the software that fixed it. We all have family members who run businesses in the physical world.

Agriculture, trade, logistics. When we shadowed them in their offices, we couldn’t believe the way they had to work. Software is the greatest leverage in business, but for companies outside of tech, that kind of leverage has been gated behind seven-figure IT budgets. We started Paloma to change that.

02 / we believe in

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The real economy winning AI

The next decade’s biggest AI wins will happen in factories, warehouses and fleets — not in tech companies. But that value doesn’t arrive on its own: it’s gated behind foundations most operational companies were never given. Data in one place. Workflows made legible. Teams trained for what’s now possible. Building those foundations is the job.

Line-art illustration of a clipboard with a factory-floor sketch, beside a pencil

Fieldwork over frameworks

We’d rather spend a day on your factory floor than a week reading about your industry. The insights that matter come from watching real people do real work, not from best-practice templates.

Line-art illustration of a mug reading “Data over lunch” beside sticky notes

Not taking ourselves seriously

We’ll show up to your factory in jeans, argue about the best way to structure a database over lunch, and send you a meme about ERPs. The work is rigorous. The people doing it are human.

Line-art illustration of a shipping box in motion with a checkmark

Speed as a deliverable

We ship working software in weeks because that’s what the problem deserves. Dragging a project out for years isn’t thorough, it’s a business model. Ours is different.

03 / the team

Founded by operators who have worked inside fast-moving systems and close to the field.

The founding team has built and run software inside companies where the tools couldn’t keep up — and spent enough time on real operations floors to know what that costs.

Two of the founders outside Y Combinator's office
The founding team, photographed together
The founders together at Sarten
Illustration of the Paloma team posed together for a group photo, drawn as ten pigeons each with their own outfit and personality

We build software for the people who build real things.

Our customers run factories, warehouses, and supply chains. Their operations are held together by people who’ve been doing this work for decades. They don’t need another platform. They need someone who’ll show up and understand how they actually work. That’s the job.

We’re not actively hiring right now, but if Paloma sounds like your kind of work, reach out - founders@getpaloma.ai.

Backed by:

Y Combinator

Founders from:

Deel Revolut Columbia University
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Connect the pieces to your business.

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