About
A technology company built to last.
Good software can still be maintained five years after handover.Our story
We started Pietra because we kept seeing the same pattern: a company pays well for a system that looks impressive in the demo, then slowly abandons it because nobody dares touch the code.
So we built a company with a different rule. Every project ships with documentation a human can read, full repository access, and a handover session for the client's own team. If you then choose to carry on without us, that means we did the job properly.
Today our team builds web platforms, AI systems, and technology guidance for companies across Indonesia — on the same principles we started with.
- Projects delivered
50+
Projects delivered
- Happy clients
30+
Happy clients
- Founded
2023
Founded
- Support available
24/7
Support available
Why Pietra
What we hold to
Code you can inherit
Every project ships with documentation, full repository access, and a handover session. We don't manufacture dependency on ourselves.
Scope and cost stated upfront
We write the scope before we write the code. Mid-project changes get discussed openly, not slipped quietly into the final invoice.
AI aimed at real problems
We don't staple a chatbot onto every problem. If a process is better solved without AI, that's what we'll tell you.
How we work
Four steps, no surprises.
The same whether the project runs two months or two years.01
Mapping
We sit down with your team to understand the process, the constraints, and the target. The output is one scope document both sides sign off on.
02
Prototype
Within two to three weeks you can click through a working version, not a picture of one. Course corrections happen while they're still cheap.
03
Build
Work runs in two-week sprints with a demo at the end of each one. You always know where the project stands without having to ask.
04
Ship & maintain
We ship to production, wire up monitoring, and train your team. After that it's your call: continue with us, or carry it yourself.
Team.
Software engineers, product designers, and data practitioners.
The figures and case studies on this page are placeholders pending final data.