AI Enablement
that Pays Off
From data pipelines and AI implementation to large language models and sovereign AI, built around what your business needs.
International organizations, public institutions & innovative companies
What We Do
From data pipelines to AI agents. Every layer your
business
needs to run more efficiently with AI.
Agentic AI & Automation
Repetitive decisions at scale do not need a person. Invoice processing, lead routing, compliance checks, automated follow-ups: we build agents that run these end-to-end via MCP, log every action, and escalate only the exceptions. Your team handles what actually needs judgment.
Learn moreSovereign AI
Most AI tools send your data to US cloud providers. For regulated industries and public sector organisations, that is not an option. We deploy sovereign LLMs on your own infrastructure: fine-tuned on your data, EU-hosted, GDPR-compliant. Nothing leaves your environment.
Learn moreAI Strategy & Legal Review
Before implementing AI, the question we hear most is: what are we actually allowed to do with our data? Alongside legal specialists, we map GDPR constraints, anonymisation requirements, and which use cases carry legal risk, so you know your options before building anything.
Learn moreAI-Assisted Development
Most development teams have not yet integrated AI into how they build. The shift changes what the same team can deliver: faster shipping, fewer bugs, cleaner code. We train your developers, set up the infrastructure that makes it possible, and measure the gain.
Learn moreData Analytics
Most data problems are not about missing data. Pipelines break, systems silo, and leadership cannot answer basic questions from their own setup. We fix the foundation: connect the sources, build the pipeline, and deliver insights to the decision-makers.
Learn moreCloud Architecture
Most cloud work needs someone who understands what you are building and can set it up without unnecessary complexity. We architect and manage infrastructure on Azure, GCP or AWS, sized for today and built to grow with your data. Costs stay in check, no separate engagement needed.
Learn moreProven Results
From concept to measurable value.
Azure environments optimised. Less waste, fewer incidents, same delivery capacity.
Down from 3 to 5 days. Manual processes replaced by automated data pipelines.
From fragmented customer data to automated AI-driven upsell recommendations.
Cost reduction with AI, done with discipline: explore the ATROPOS framework.
Our Founders
The driving force behind Ozymind's innovation and expertise.
Keno Merckx
Co-Founder & CTO
Keno brings a rare combination: a decade across telecom, financial services, energy and logistics, a Ph.D. in Computer Science, and deep expertise in machine learning and optimisation. That combination gives him the practical instinct to know when a system will hold and when it will not. He builds for the long term. His preference is for systems that work when he is not in the room.
Olivier Moisse
Co-Founder & CEO
Olivier scaled Riaktr from startup to acquisition by SDS (listed, Stockholm) and ran commercial operations across 60+ countries as CRO. He knows the data side well enough to spot when something is wrong, and where. At Ozymind he is the bridge between what leadership needs and what the tech team delivers.
Latest Insights
Perspectives on AI, data strategy, and sovereign deployment.
Plan and build the AI
your business needs.
Tell us what you want to achieve. We’ll tell you
if it
makes sense and what it would take.
