I build companies with software and AI.
Entrepreneur.
+10 years building and scaling SaaS and AI companies from Barcelona: CEO & CTO of +10 companies, €10M+ in annual recurring revenue, a team of 100+ people and customers in 20+ countries. I spend the rest of my time reading, listening and testing what comes next in AI, so the people around me do not have to.
- €10M+
- annual recurring revenue across the companies I run
- 10+
- SaaS and AI companies as CEO & CTO
- 100+
- people on the team
- 20+
- countries we sell in
- 60+
- countries I have visited
- 10+
- years building businesses
About
An engineer who ended up running companies.
I am a multidisciplinary engineer by training and a CEO & CTO by trade. For the last +10 years I have built and scaled software companies: SaaS products, AI products and the teams behind them. Today that is +10 companies, 100+ people and customers in 20+ countries, run from Barcelona.
I still write code, and I still read the papers. I spend an unreasonable amount of time on books, podcasts, videos and research about AI and technology, and I test everything I learn on real businesses with real revenue. That combination, operator plus student, is the whole point.
I am from Barcelona but I have lived in Germany, Austria and England. I have travelled to +60 countries.
- Based in
- Barcelona
- Role
- CEO & CTO of +10 companies
- Lived in
- Germany · Austria · England
- Credentials
- PMP · SAFe Agilist · Certified ScrumMaster
Track record
+10 companies, one playbook.
I run a group of SaaS and AI companies, led from Barcelona and selling worldwide. Different products, the same principles.
- 01
Recurring revenue
Every company is a subscription business. Predictable revenue buys the right to think long term.
- 02
International by default
20+ countries taught us that languages, currencies and regulations are inputs, not a phase two.
- 03
AI in the operations, not the pitch
Support, content, analysis and code review already run with AI. It shows up in the margin, not in the deck.
- 04
Small teams, big leverage
100+ people across +10 companies means every team is small enough to move fast and senior enough to own it.
Thinking
What I believe about the next 10 years.
I read, watch and listen to more about AI than is reasonable. This is what survives contact with running real companies. The long version, with the evidence, is the manifesto.
- 01
Software stopped being the bottleneck.
Anything that can be specified can be generated. The scarce skills now are choosing the right problem, distributing the product and knowing when to stop.
- 02
Every company becomes an AI company, or a customer of one.
The question is no longer whether to use it. It is which of your processes it runs first, and who in your team is accountable for it.
- 03
Agents will do most of the work. People will do the deciding.
The founder of this decade designs the machine, sets its principles and makes the few decisions machines should not.
- 04
The advantage is adoption speed, not the model.
Models become commodities within months of release. The gap opens between companies that rewire how they work and those that wait for it to settle.
- 05
Small will beat big.
One person with the right system can run what used to take a building. Expect more companies, smaller and more profitable.
- 06
Europe is under-built.
One continent, many countries, under-served in almost every vertical. The next decade of software is a European opportunity.
Investor & advisor
I back SaaS and AI founders with capital, time and a working playbook.
I invest small tickets in early-stage SaaS and AI startups and I sit next to founders who are building what I have already built. Not a fund, not a programme: one operator who has done the boring parts +10 times.
Angel investing
Pre-seed and seed tickets in B2B SaaS and applied AI, ideally European, ideally with revenue. I invest in things I understand well enough to help with.
Fundraising
The deck, the data room, the metrics investors actually check, the round size that makes sense and the introductions that follow from a clear story.
Founder coaching
A standing conversation with a founder or CEO on the decisions nobody else in the company can make: hiring, pricing, focus, timing.
Product and AI strategy
What to build, what to buy, what to automate with agents and what to leave alone. Turning an AI ambition into a shipped roadmap.
Go-to-market and international
Pricing, payments, languages, compliance and the operations behind selling a subscription product in 20+ countries.
Board and advisory roles
A seat at the table for a company that wants an operator's voice on technology, AI and scale, with real accountability.
If you are building a SaaS or AI company and want to talk about investment or advice, write to me. If you want a structured working session, book one.
My Monalisa · Lifelong project
Aurum VOS
+100 companies at €1M ARR each. Become a one-person unicorn.
My Monalisa is Aurum VOS, a venture operating system: a shared platform, a foundry and governed AI agents that can launch, run and retire small software companies faster than people can. The goal is a portfolio of +100 companies at €1M of annual recurring revenue each, most of them run by one person with the right system. It is my laboratory for everything I believe about AI, it is a lifelong project, and it is public.
Visit aurumvos.com- +100
- companies, the target
- €1M
- ARR each
- 1
- person can run one
Stack
The technology I work with.
Enough to build it, run it or judge it. Not a CV, a map of where I am comfortable.
- LLMs
- AI agents
- RAG
- Fine-tuning
- Evals
- Prompt engineering
- MCP
- Machine learning
- Deep learning
- Computer vision
- NLP
- Speech
- Vector databases
- AI governance
- Claude
- GPT
- Gemini
- Llama
- Mistral
- Anthropic API
- OpenAI API
- Hugging Face
- PyTorch
- TensorFlow
- scikit-learn
- LangChain
- LlamaIndex
- Claude Code
- Cursor
- TypeScript
- JavaScript
- React
- Next.js
- Node.js
- Vue
- Nuxt
- Python
- FastAPI
- Django
- NestJS
- Go
- Java
- Kotlin
- Swift
- .NET
- PHP
- Laravel
- React Native
- Flutter
- Tailwind CSS
- shadcn/ui
- GraphQL
- REST
- Prisma
- PostgreSQL
- MySQL
- MongoDB
- Redis
- Elasticsearch
- Kafka
- RabbitMQ
- Supabase
- Firebase
- AWS
- Google Cloud
- Azure
- DigitalOcean
- Vercel
- Cloudflare
- Docker
- Kubernetes
- Terraform
- GitHub Actions
- Playwright
- Vitest
- BigQuery
- Snowflake
- dbt
- Stripe
- HubSpot
- Salesforce
- Segment
- Figma
- Linear
- Notion
- Slack
- Google Workspace
- Zapier
- n8n
AI
LLMs · AI agents · RAG · Fine-tuning · Evals · Prompt engineering · MCP · Machine learning · Deep learning · Computer vision · NLP · Speech · Vector databases · AI governance
Models & tooling
Claude · GPT · Gemini · Llama · Mistral · Anthropic API · OpenAI API · Hugging Face · PyTorch · TensorFlow · scikit-learn · LangChain · LlamaIndex · Claude Code · Cursor
Build
TypeScript · JavaScript · React · Next.js · Node.js · Vue · Nuxt · Python · FastAPI · Django · NestJS · Go · Java · Kotlin · Swift · .NET · PHP · Laravel · React Native · Flutter · Tailwind CSS · shadcn/ui · GraphQL · REST · Prisma
Data & infrastructure
PostgreSQL · MySQL · MongoDB · Redis · Elasticsearch · Kafka · RabbitMQ · Supabase · Firebase · AWS · Google Cloud · Azure · DigitalOcean · Vercel · Cloudflare · Docker · Kubernetes · Terraform · GitHub Actions · Playwright · Vitest · BigQuery · Snowflake · dbt
Business systems
Stripe · HubSpot · Salesforce · Segment · Figma · Linear · Notion · Slack · Google Workspace · Zapier · n8n
Say hello
Tell me what is on your mind.
Friends, founders, investors and fellow members of my circles: if AI, technology or a business decision is on your mind, use the form. I read everything myself and I answer in a few days. No pitch, no agenda. A coffee in Barcelona works best.
Or follow along with the 29,000 people who read my notes on LinkedIn.
