Gabriel Ceicoschi
Tilburg, Netherlands
Gabriel Ceicoschi is an AI educator at Aibl.to, based in Tilburg, the Netherlands. He holds a bachelor's degree in computer science and a master's degree in distributed systems, with his master's thesis on NLP forming the basis of an alert prioritization system he later built in production.
Through Aibl.to, Gabriel helps professionals build applications, automate processes, and integrate AI into their workflows. He works with tools like Claude Code, Cursor, ChatGPT, Gemini, and n8n to teach professionals how to go from idea to working automation in a single workshop session.
He has delivered workshops at ASML, LocHal, ChatBot Summit, and Jabreen Academy, reaching audiences across engineering, sales, marketing, legal, data science, and management. His workshops combine practical hands-on work with real workflows, and after one internal session, agentic coding adoption doubled across a company.
Before focusing on AI education, Gabriel spent four years at Cyscale, a cloud security startup (€3M round), where he built monitoring and risk management features across AWS, GCP, and Azure, gaining hands-on experience with cybersecurity standards including ISO, NIST, and GDPR. He represented the company at the European Cyber Security Organisation (ECSO) finals in The Hague and Bilbao.
Gabriel's approach focuses on sustainable adoption rather than one-time demos. Participants bring their own workflows and leave with automations they can use immediately, building confidence and capability that continues long after the workshop ends.
Latest posts by Gabriel.
How Can Dutch SMEs Build an Internal AI Team?
How Dutch SMEs can develop an internal AI team, learn through real work, measure progress and use outside expertise while keeping ownership inside the business.
What Can Jev AI Do for European SMEs? 10 Use Cases
Explore 10 practical Jev AI use cases for European SMEs, with guidance on GDPR, the EU AI Act, US data hosting and a safer pilot for Dutch businesses.
How Do You Get Your Team to Actually Use AI?
Most companies do not have an AI access problem anymore. They have a problem turning access into useful behavior. The answer is to start with real work, not generic tool adoption.
Show us how your team works.
Bring a process that wastes time or money. We will help you build an AI workflow around your data, tools and limitations.