Make AI reliable, not just experimental.
The quality of AI depends entirely on the data it uses; if you provide it with messy, disjointed information, it may make incorrect guesses that go unnoticed. We assist you in using AI in your business by advising you on where it is appropriate and where it is not, by extracting knowledge from your documents, integrating it with your structured data, and getting it up and running in production. The outcome is dependable business value, not just experimental results.
Intuition is not knowledge
Large language models are brilliant, and they don’t understand a thing. They predict likely words, not verified facts, which makes them powerful intuition and unreliable knowledge. On their own, they can’t know your proprietary knowledge, specialist expertise, or actual reality. A confident answer is exactly the same as an unknown error, so it’s impossible to tell which one you’re dealing with. That is why we base our AI on your ontologies and knowledge graphs, linking each answer to a verifiable source. This is what sets apart AI that seems impressive in a demonstration from AI that you can trust in a production environment.
What is it?
What is Artificial Intelligence?
Artificial Intelligence is the simulation of intelligent behavior by machines. Today, that means rule-based systems that follow predefined logic, and machine learning systems that learn patterns from data. Large language models are the most advanced form of the latter, trained on vast amounts of text to generate fluent language. AI chats and agents are built on top of them. A model, on its own, only knows what it absorbed during training. It has no access to your proprietary knowledge and no built-in sense of what is true. The real value appears when you connect it to your structured, trustworthy data.
What grounded AI can do for you
We make AI trustworthy, not just clever
Advice with a business case
We don’t build AI models, and we don’t chase hype. We help you identify where AI adds value in your workflow, backed by a clear business case, and capture your domain expertise as ontologies that machines can reason with.
A foundation you can trust
We transform your siloed data into knowledge graphs: an interconnected, machine-readable picture of your organization. This semantic layer becomes the source of truth your AI draws on, so its answers rest on your reality rather than guesswork.
Answers you can verify
We bind the AI to that structured truth, routing its operations through your semantic layer so every output is anchored to a verifiable source. It’s the neuro-symbolic approach: the fluency of language models with the rigor of knowledge graphs.
Related resources
Let’s ground your AI together
Not sure where AI actually fits, or worried it can’t be trusted with your data? You’re asking the right questions. Tell us what you want AI to do, and we’ll show you how to make it reliable. Start a conversation with Gülay Canbaloglu or call us directly at +31 (0)85 13 00 541.