About us - The story behind the name

Uncommon. Unusual. Unconventional.

For a decade, the founder searched for the name that felt right. Turns out, it was hiding in plain sight. ARO has appeared in Arosemena family businesses for generations. Add his initial, and there it was.

RARO. Uncommon. And uncommon matters: different ways of doing the same thing yield different results. Others might build similar tools, but the approach shapes the outcome. The name became a framework: Reveal, Architect, Realize, Own. We call that Atypical Innovation.

R
ARO
.
R

Reveal

Uncover workflow pain points

A

Architect

Design systems that fit

R

Realize

Build in your infrastructure

O

Own

Full ownership, full autonomy

What we believe - The crafter's mindset

Every skill came from projects that needed to exist. That's why we build like it matters.

  • Quality over speed. We keep iterating until it feels right. A solid foundation is worth keeping, worth extending, worth growing with your business.
  • Details matter. Edge cases, error handling, naming conventions. We think about what happens when things go wrong, not just when they go right.
  • Think around corners. Before building, we ask if there's a better way. Sometimes the right answer starts with a different question.

The guide, not the gatekeeper

Everyone's talking about AI. Most people selling it want you confused. Confusion creates dependency. Dependency creates recurring revenue.

We've been on the other side. Hiring developers who treated basic questions like trade secrets. Contractors who quoted prices with no breakdown. Professionals whose main skill was making things seem more complicated than they are.

So we built something different. Credentials in your account. Subscriptions in your name. Source code in your repo. We cut through the noise, light the way, then equip your team with the wand. Your magic now. That's what the hat represents.

From the blog

What we're learning, building, and figuring out.

AI Agents in Practice: From Hype to Production

What we learned deploying AI agents in real business workflows. Spoiler: the hard part is rarely the AI.

Building Custom vs. Buying SaaS: When Each Makes Sense

A practical framework for deciding when to build custom software and when off-the-shelf tools are the right choice.

Have a problem to solve?Have a problem to solve?

How we work

  • Location & Availability
    Based in Panama City (GMT-5)
    Remote-first operations
    Serving clients globally
  • Getting Started
    Begin with discovery conversation
    Project-based or ongoing partnership
    Direct communication, no bureaucracy