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 harnesses that bring order to the data and the processes inside a company's ERP.
Some of our own products already run with real users — monitored and continuously supported.
We work per project or as an extended product team across three fronts: build, integrate and operate.
AI finance assistant for Latin America: log expenses by chat, build budgets and goals, and pay through local rails as well as cards.
Tax-practice management for accounting firms: return workflows, e-filing, e-signatures and a secure document portal for their clients.
ERP for construction companies: payroll, job-site CRM, purchasing, inventory and finance, with a mobile app to clock hours and view pay stubs.
Scheduling and appointments for a wellness spa: client bookings, staff calendars and automated reminders.
Case management for personal-injury law firms: intake, case file, signed documentation, medical providers and settlement tracking.
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. With AI in the loop, that kind of custom software has never been this within reach.
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.
It doesn't have to. When the data is sensitive we work with local models running inside your own infrastructure: the document and the record never leave your network. Which one fits — local or a hosted provider — is decided with you and put in writing.
Tell us what you need to solve. We answer with a concrete proposal, not a catalog.
