Knowledge
Engineering in public.
Research, reference architectures, labs and open source — read our work before the sales conversation.
What we publish
Research
In-depth engineering papers on enterprise AI, governance and platform engineering.
Reference Architectures
Production-ready architectures with diagrams, decisions and implementation patterns.
Engineering Labs
Hands-on implementations — MCP, agents, gateways and platform patterns.
Open Source
Terraform modules, toolkits and reference code you can inspect and run.
Insights
Engineering notes on production AI systems — secondary to research and architectures.
Founder · INNOQUO
Óscar Idigoras
Platform & AI engineering · Granada, Andalusia, Spain
Founded INNOQUO in 2017. Background in enterprise software, data pipelines and cloud — now focused on production AI platforms. Writes most of the research and architectures published here.
Enterprise software and data engineering since 2016. Cloud and internal platforms from 2019. Production AI infrastructure, governance and security from 2024.
The journey
INNOQUO · 2016 → now
Django & Spring Boot → ETL & Elastic → AWS & Docker → enterprise AI. Every step shipped.
2016
Build
Custom software & data
Bespoke platforms with Django and Spring Boot. Python data engineering, ETL stacks, Elasticsearch — automations that saved enterprises real money.
2017
Founding
INNOQUO
INNOQUO born — production delivery for teams that need engineering, not slideware.
2019
Cloud
AWS & Docker
Cloud migration, containerized workloads, API platforms and infrastructure automation at enterprise scale.
2022
Platforms
Platform engineering
Kubernetes, Terraform and internal platform patterns — applied where teams need reproducible delivery.
2024
AI
Enterprise AI
LLMOps, RAG, agentic systems and AI infrastructure — production-first design with observability.
2026
Now
Azure Architect Expert
Microsoft Solutions Architect Expert. Public knowledge platform and AI platform engineering practice.
What is the Public Roadmap?
We explore and build the infrastructure, controls and knowledge systems needed to operate enterprise AI safely — with published evidence as each piece ships.
Knowledge · Radiography
Published engineering
Papers, architectures, labs, OSS — the technical record behind INNOQUO.
Research
In-depth engineering papers on enterprise AI, governance and platform engineering.
Reference Architectures
Production-ready architectures with diagrams, decisions and implementation patterns.
Engineering Labs
Hands-on implementations — MCP, agents, gateways and platform patterns.
Open Source
Terraform modules, toolkits and reference code you can inspect and run.
Insights
Engineering notes on production AI systems — secondary to research and architectures.
Founder
Óscar Idigoras
Founded INNOQUO in 2017. Background in enterprise software, data pipelines and cloud — now focused on production AI platforms. Writes most of the research and architectures published here.
Enterprise software and data engineering since 2016. Cloud and internal platforms from 2019. Production AI infrastructure, governance and security from 2024.
The journey · INNOQUO · 2016 → now
2016 · Build
Custom software & data
Bespoke platforms with Django and Spring Boot. Python data engineering, ETL stacks, Elasticsearch — automations that saved enterprises real money.
2017 · Founding
INNOQUO
INNOQUO born — production delivery for teams that need engineering, not slideware.
2019 · Cloud
AWS & Docker
Cloud migration, containerized workloads, API platforms and infrastructure automation at enterprise scale.
2022 · Platforms
Platform engineering
Kubernetes, Terraform and internal platform patterns — applied where teams need reproducible delivery.
2024 · AI
Enterprise AI
LLMOps, RAG, agentic systems and AI infrastructure — production-first design with observability.
2026 · Now
Azure Architect Expert
Microsoft Solutions Architect Expert. Public knowledge platform and AI platform engineering practice.