Data with meaning. AI with trust.
Kanzo helps organizations turn fragmented data into connected, interoperable and governed knowledge — ready to support analytics, AI, compliance and data sharing.
Make complex data usable
More data does not automatically mean more knowledge.
As organizations add new platforms, applications and AI systems, information often becomes harder to connect, interpret and govern. The challenge is no longer simply collecting data, but preserving the context, meaning and rules that make it useful.
That is where knowledge infrastructure becomes essential: helping data retain its meaning, giving AI access to reliable context and making governance part of the architecture from the start.
Data needs context
Data becomes more valuable when systems can understand what it represents, how concepts are related and where information comes from.
AI needs knoledge
Models and agents need more than access to information. They need reliable organizational context to retrieve, reason and act with greater precision.
Trust needs governance
Traceability, validation and rules should travel with the data, making quality, compliance and accountability easier to demonstrate.
Meet KEASY
Connected knowledge, made easy
KEASY is Kanzo’s modular semantic knowledge stack. It brings together the capabilities needed to connect heterogeneous data, build and govern knowledge graphs, and put connected knowledge to work across AI, analytics, interoperability and compliance.
Use individual capabilities or combine them around your architecture and use case — without forcing your data through a single workflow or proprietary stack.
A different way to build data and AI systems
Kanzo builds data and AI infrastructure around a simple idea: organizations should be able to use advanced technology without giving up control over their data, knowledge or architecture.
Open by design
We build on open standards and portable knowledge models, making it easier for data and knowledge to move across tools, platforms and organizations without becoming locked into proprietary representations.
Sovereignty by architecture
Our technology is designed to work with existing, distributed and federated infrastructures, allowing organizations to retain control over where their data lives, how it is shared and which technologies they use.
Governance from the start
Validation, provenance, traceability and machine-readable rules can become part of the architecture itself, making quality, accountability and compliance easier to manage as systems evolve.
Behind these principles is deep semantic engineering made practical for real-world deployment.
Making complex ideas easier to see
Data infrastructure, knowledge graphs, interoperability and trustworthy AI can be difficult to explain. Our Data Stories explore these ideas through visual narratives designed to make complex technologies easier to understand.
Data Story 01
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Data Story 02
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Data Story 03
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What could your data do with the right context?
Let’s explore how connected knowledge can support your next data, AI or interoperability challenge.
Built through collaboration. Connected to Europe’s data ecosystem.
Kanzo works with research and technology partners while actively contributing to the European ecosystems shaping semantic interoperability, data spaces and trustworthy AI.
Research & Technology Partners
Networks, Standards & Communities
