Origin

Built in Nairobi. For teams who want to capture AI's value, not just adopt it.

Plenty of teams will sell you software. We sell outcomes — and build whatever delivers them, agents first. We've watched companies deploy chatbots, vector stores, and AI strategies that looked good in slide decks and disappeared in practice — because the agent never fit how the team actually works. We started Qala to build the other version: agents specced from your real workflow, integrated into your real tools, and tuned until they save your team hours every week.

We're based in Nairobi, Kenya, and we work remotely — where you are isn't a constraint. Qala is new. We're honest about that. We'd rather build one agent that ships hours back to your team than ten that look impressive in a demo. And when we ship, we keep tuning until it does the job we scoped — at no extra cost.

Principles

How we approach the work.

01 — The 10/20/70 rule

10% algorithm, 20% tech backbone, 70% people and process.

BCG's framing for where AI value actually sits. The model isn't the bottleneck. The fit is. We work on the 70%.

02 — Fit before features

An agent that fits your team beats a more capable one that doesn't.

We spec agents for the way your team actually works — not for the demo. Adoption follows fit.

03 — Honest about fit

Qala is new. We say so. We also say when an agent isn't the right fit.

The workflow audit is where we tell you what we'd build, where we'd hold off, and what other paths might work. We won't pitch you on an agent you don't need.

Ready to find your first AI win?

Free workflow audit. No commitment. We'll tell you honestly what fits — and what doesn't.

Prefer to chat? Message us on WhatsApp.