HOPn
For companies that want AI in daily operations. We research the problem, build the software and support its rollout.
Shared base: HOPN Lab methods, AI-Pass infrastructure, documented tests
Studio instrument
Research, build and run as one instrument
What we build
Every venture below is built by the studio. The status says how far it is: concept, pilot or live.
An open-source platform where business teams describe what they need in plain language and get a working web app, workflow or AI agent.
Built by HOPn. Infrastructure layer of the HOPN Lab Route programme.
Business teams and the developers who support them.
A private AI platform for organisations that want to run AI on hardware they control, so internal data stays in-house.
Built by HOPn. Connected to the HOPN Lab Foundation and Ground programmes.
Organisations that cannot send internal documents to public AI services.
A conference and exhibition in Munich on AI in production use. Next: Main Summit, 22–24 March 2027.
A HOPn venture. Founded and chaired by Prof. Dr.-Ing. Ahmed Ebada.
Companies, researchers and founders working with AI in production.
Software for event organisers: set up an event, sell tickets, check in guests and handle speaker, exhibitor and sponsor applications in one place.
Built by HOPn. Its event templates draw on the work of running MunichTech EXPO.
Organisers of conferences, expos and similar events.
Apps, ventures, careers
Ventures are studio companies. Apps are user-facing products with a Live, Pilot or Concept badge. Careers lists how to apply.
How we work
The HOPN Lab works on five questions about AI systems that organisations can trust, audit and afford to run. Its results feed ventures and apps.
Work that holds up in research becomes a venture or an app, such as AI-Pass and Sovra AI.
We build and integrate AI systems for companies, from the first prototype to rollout.
Shared base: HOPN Lab methods, AI-Pass infrastructure, documented tests
Event
22 – 24 March 2027
Alte Kongresshalle, Munich
Three days on AI in production use: enterprise AI, private and sovereign AI, agentic AI and MLOps.
About MunichTech EXPOmunichtechexpo.com (opens in a new tab)
Team
Founder of HOPn. Founder and conference chair of MunichTech EXPO.
Ahmed Ebada is a professor of artificial intelligence and computer science. For more than ten years he has worked on applied AI, digital twins and data-driven decision systems in industry and research, with a focus on anomaly detection, monitoring and explainable machine learning. He has held senior product and programme management roles in large industrial companies.
Contact
Book a 30-minute call. You will speak with Prof. Dr.-Ing. Ahmed Ebada, founder of HOPn.
Book a callOr write to info@hopn.eu · use the contact form · Partner application
