We train Agentic Quality Engineers, connect QA talent with companies, and implement quality systems operated with AI agents on real products.
// The ecosystem
All three share the IQL, the Integrated Quality Lifecycle: the Software Quality Engineering operating model we use to train, connect, and operate, with AI agents on the job. Choose the division that answers your problem.
Each constellation is a division, and each star one of its services.
Explore the ecosystem mapTraining
We teach the system.
Training
UPEX Galaxy
Training in Agentic Quality Engineering on software products in active development, with AI agents on the job: the Dojo, the courses, the IQL methodology, and the ATLAS competency model.
Services
Talent and employability
We connect people.
Talent and employability
UPEX Satellite
Employability for QA professionals, and access for companies to Quality Engineers evaluated within the UPEX ecosystem.
Services
QA as a Service
We operate the system.
QA as a Service
UPEX Workbench
Assessment, implementation, and operation of a complete quality cycle on your product, with the IQL as the method and AI agents on the job.
Services
// WHERE THEY WORK TODAY
Over 3,000 professionals trained since 2020. They train with us, IT consultancies hire them, and they end up working on their clients’ projects. These are some of the companies where they work today.
// The method
The Integrated Quality Lifecycle is an eight-stage cycle, from story refinement to what comes back from production. Each stage declares what the agent executes, what the person signs off, and what evidence remains. Read as outcomes, it comes down to four blocks.
Stories with verifiable criteria and an acceptance plan per story before the sprint starts.
Feedback to the developer before the pull request, with real evidence and bugs prioritized by risk.
Reliable regression in CI: only what proved its value gets documented and automated, and it runs on every pull request.
Production feeds the strategy: real metrics decide what to observe, what to test and what to improve in the next cycle.
open source · MIT
Two boilerplates on GitHub, one per discipline: they install with a single command and you can look inside.
The QA workflow, but AI runs it
The complete QA cycle as agentic workflows: refining criteria, testing the sprint, automating with KATA, and deciding the release.
From PRD to staging deploy
The same system on the dev side: from PRD to staging deploy, with AI operating Jira and GitHub and a person signing off on every checkpoint.
Discover how the DOJO takes you from beginner to professional with real experience
Recognized leaders and experts validate the effectiveness of our approach
"Me impresiona profundamente el nivel de compromiso e impacto que tiene Elyer en la comunidad de calidad de software. He participado en su canal y me encontré con personas llenas de curiosidad y una auténtica sed de crecimiento profesional."
"El impacto transformador de UPEX en la comunidad es extraordinario. Han logrado acompañar y elevar el aprendizaje de miles de personas. Ya sea que estés dando tus primeros pasos en IT, buscando reconvertir tu carrera, o incluso si tienes experiencia pero buscas un salto cuántico de calidad, UPEX será el catalizador que libere tu potencial y te lleve al siguiente nivel."
"Ser parte de esta comunidad de testing es una experiencia verdaderamente transformadora. Te encontrarás rodeado de profesionales que no solo comparten su conocimiento, sino que también brindan oportunidades para practicar con herramientas de vanguardia esenciales en el mercado actual. Aquí, la teoría cobra vida a través de cada proyecto del mundo real."
"Lo que hace especial a UPEX es su enfoque en la automatización práctica y real. Como creador de contenido en testing, valoro enormemente cómo combinan la teoría sólida con proyectos auténticos que realmente preparan a los estudiantes para los desafíos del mundo laboral actual."
Three doors, one quality cycle. None of them commit you to anything.
