About
No layers between you and the engineering.
Iwana Labs is a boutique AI consultancy in Madrid. We help teams make better use of their data, reduce manual work, and develop new services. You work directly with the engineers who scope, build, and operate your system.
- Madrid, Spain
- based in
- Since 2021
- delivering AI systems
Position
AI that expands what your team can do.
Your data, content, and expertise can support more than they do today. We build AI systems that help people find trusted answers, publish more content, discover relevant recommendations, and spend less time on repetitive work.
We build for everyday use, with factual and quality checks, human review where it matters, and monitoring of performance and cost. Several of the systems in our success stories have been running in production for years. Full handover gives your team documented software they can maintain and evolve.
You can start with a focused six-week engagement: agree what success looks like, put working software in users' hands every two weeks, and measure the results. From there, we can hand over or keep building and operating with you. We also help teams improve existing systems that need more reliability, better quality, or lower running costs.
Team
Who you will actually work with.
Dylan Castillo
Co-founder and CEO
Dylan has worked in AI for a decade, delivering projects for large corporations, government agencies, and startups. He leads client engagements and AI system design.
He contributes long-term to widely used open-source AI projects including the OpenAI Cookbook, Instructor, and Outlines, and maintains econagents and shell-genie. His work has been featured in The Economist and reached hundreds of stars on GitHub.
He teaches on a Master's programme in Data Science and AI, where he was recognised as teacher of the year.
Iván Díaz Garnacho
Co-founder and CTO
Iván has spent the better part of a decade helping companies build robust cloud platforms and production-ready AI systems. He leads client technical strategy, system architecture, and the delivery of end-to-end AI applications.
He focuses on turning generative AI into practical business solutions, from productizing agentic AI platforms and RAG applications to automating complex enterprise workflows. Over his career he has designed scalable solutions for startups, consulting firms, and global corporations.
Alongside client work, he lectures on a Master's programme in Data Science and AI.
What could we improve in six weeks?
Bring a workflow, a product idea, or an existing AI initiative. We’ll explore where a focused engagement could make a measurable difference.