Think Big. Start Small.
Break Stuff. Move Fast.
We are 30 engineers building AI that speaks to a billion people in the languages they actually use. We iterate fast, break things on purpose, and fix them faster. We do not have unlimited time for people who need to be told what to try next. If that excites you, keep reading.
See Open RolesWe build AI that speaks to a billion people in the languages they actually use. This is where you would make your mark.
We did not try to be everywhere. We picked the hardest localisation problem in two of the most underserved markets in the world — and went deep.
What We Actually Mean By It
Four words. Four ways we work.
Our vision is to be the global backbone of the autonomous enterprise. We are building the CX layer first — hyper-localised AI voice for MENA and SEA. The rest follows. We hire people who can hold a large vision while shipping the next small thing.
We did not try to be everywhere. We picked the hardest localisation problem in two of the most underserved markets in the world and went deep. MENA and SEA are not stepping stones to somewhere else. They are where the real problem lives.
We run on first principles. Every process, every tool, every way of working gets questioned. Our OKRs do not track bugs as a failure metric. Shipping something, learning it is wrong, and rebuilding it is not a career risk here. It is the job. We do not point fingers. We fix things.
In 2024, we shipped the Arab world's first Arabic-speaking AI voice assistant inside Arab Bank — a 100-year-old institution — in under 12 months. A typical enterprise AI deployment inside a bank takes two to three years. There was no blueprint. We built the reference point.
We shipped the Arab world's first Arabic-speaking AI voice assistant inside a 100-year-old bank. In under 12 months.
A typical enterprise AI deployment inside a bank takes two to three years. Arab Bank is one of the most established financial institutions in the region. We had to earn approval from their security, risk, legal, and technical teams — in a compliance environment that had never reviewed anything like this before.
There was no blueprint. We built the reference point — because we questioned every assumption about how long it was supposed to take, and kept iterating until it worked.
Who Thrives Here
This is who we are looking for
- You question why, not just how. You do not follow a rule until you understand what it is protecting.
- You start before the full picture is clear. Ambiguity is the starting point, not the blocker.
- You ship something, learn it was wrong, and rebuild it. A failed approach is useful data, not a career risk.
- You do not set up a process because your last company had one. You build what the specific problem needs — nothing more.
- You have a mental list of things you want to fix on day one. You do not wait to be given a ticket.
Who Should Look Elsewhere
Honestly, some people will not like it here
- If you need a defined scope before you can start, this is not the right place.
- If your instinct when something breaks is to find out whose fault it was, this is not the right place.
- If you set up processes because that is how it was done at your last company, this is not the right place.
- If you are comfortable with slow, if you prefer predictable over impactful — this is not the right place.
We are not for everyone. We are not trying to be.
What You Get
What we offer in return
Specific benefits vary by role. We will be direct about what comes with yours when we talk.
If this is the kind of company you have been looking for, apply.
No recruiter screen. No six rounds. We look at what you have built and we have a real conversation.
Apply at hr@revolab.aiBased in Kuala Lumpur.