We design, build and operate web platforms, mobile apps and AI agents shaped around how your company actually works.
Ragotech builds custom software: web platforms, mobile applications and AI agents with evaluation harnesses.
Five products of ours run in production today with real users — monitored and continuously supported.
We work per project or as an extended product team across three fronts: build, integrate and operate.
Platform built and operated by Ragotech, in active use. [Describe what it solves and for whom.]
In-house product in continuous operation. [Describe the problem it solves and its audience.]
System built internally and deployed with clients. [Describe its scope here.]
Scheduling and appointments for a wellness spa: client bookings, staff calendars and automated reminders.
Case management and file tracking. [Adjust with the real sector and workflow.]
We pick tools for what they hold up in production, not for fashion. Every stack decision is documented and explained to the client.
The code, the documentation and the infrastructure belong to the client. No forced dependency.
Ragotech started from a simple, ambitious idea: any business should be able to run on software of the caliber once reserved for large corporations.
We don't ship demos. We design, build and operate products that hold up with real users — and we stay past launch.
One team covers the full cycle
With a discovery conversation where we map your operation and goals. That produces a proposal with scope, architecture, timeline and cost before any development is committed.
A working MVP usually takes 6 to 12 weeks depending on scope. Larger platforms ship in phases, with usable software at the end of each one.
Yes. We take on custom projects with mid-size and large companies, and tighter solutions for businesses digitizing their operation.
Yes. The client owns the code, the documentation and the infrastructure. No forced dependency on us.
Monitoring, incident fixes, security updates and a monthly block of hours for improvements. Scope is set in the contract.
It's the infrastructure around an AI agent: it defines its tasks, tools, limits and automated tests to measure quality. Without it, an agent isn't dependable in production.
Tell us what you need to solve. We answer with a concrete proposal, not a catalog.
