Meonata connects its own supercomputer infrastructure, AI stack, platform, and agents into a sovereign AI architecture for public institutions, SMEs, and companies with high requirements for data sovereignty, control, and predictable costs.
Automate tasks, knowledge, and workflows close to the business process.
Controls agents, data, knowledge, permissions, and business processes.
Optimizes models, platform services, and runtime environment for agentic AI.
Own AI supercomputer for sovereign deployments without an external AI cloud as a prerequisite.
Models, agents, and platform services run fully on our own infrastructure for sovereign deployments.
Own infrastructure makes runtime, utilization, and scaling more predictable than pure pay-per-use AI clouds.
Supercomputer architecture, stack, platform, and agents work together in a controlled system.
Designed for public institutions, SMEs, and companies that need clear control over data flows, operations, and availability.
Turn expertise into end-to-end digital workflows and new capacity.
Models, agents, and platform services on our own controllable infrastructure.
More than 15 years developing, integrating, and operating industrial AI platforms.
I founded Meonata because real AI transformation does not emerge from a collection of isolated applications. Architecture, platform, operations, data sovereignty, and processes must be designed as one system. Drawing on more than 15 years of experience, we work with organizations to create the foundation for controlled, scalable AI across the entire value chain.
Michael Grossholdermann, Founder of Meonata
What matters is not whether AI is coming. What matters is whether it makes a real difference in your company.
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