Together, let's shape the conversation around Data & AI implementation.
We make AI work, with you and for you
We deliver accessible, human-centric data and AI solutions, designed by top industry experts, to empower businesses to confidently advance toward a future of ethical AI-driven success.
1. Expert commentary on AI, GenAI, and EU Cloud developments 2. In-depth interviews with our thought leaders and practitioners 3. Panel discussions, keynotes, and speaking engagements 4. Data-driven insights and market perspectives on AI adoption
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our clients’ success
Read our client’s success stories and see what we truly deliver to boost their bottom line.
"Working together with Xomnia on a shared understanding of the challenges is key to the successful development of a single source of truth."
Eke van Riel Senior IT Project Manager DAF Used Trucks
“With Xomnia's expertise, we shifted from organizing data around IT to organizing data around business.”
Janneke van de Ven Manager Particulier Verzekeren at ABN AMRO Verzekeringen
“The architecture we built with Xomnia gives us a headstart for the analytic challenges we will face over the coming years.”
Huub Stam Manager Data Analytics at a.s.r. asset management
“Xomnia brought a lot of experience by setting up an architecture on Data Mesh principles. They where able to translate the high level intentional architecture to concrete features for the teams to work on.”
The City of Amsterdam PO at Municipality of Amsterdam
“We worked with different consultants from Xomnia, who have shown craftsmanship in their work, depth in their knowledge, clarity in communication and love for a challenge”
AH Product Owner at Albert Heijn
“Xomnia’s expert support has made a huge impact on our ability to cost effectively scale preventive maintenance solutions to other installations.”
Jörgen van de Langkruis Team Lead Asset Monitoring & Diagnostics at Tata Steel NL
“Xomnia has and is continuing to help us develop on our own. Our data engineers have learned a lot from the expertise that Xomnia has brought to ARAG and are continuously using the lessons learned during the development of the Data Hub.”
