Services
AI and data science consultancy built on knowledge graphs, machine learning and GeoAI.
We build working systems that connect fragmented data, model how things relate and predict what happens next, including where it happens. From a first look at your data to a system that runs in your organisation. Every project is scoped around a specific problem and a way to test whether it works.
01
Understand
Identify the data, system and business problem.
What we do
- Map the data sources and how they relate
- Define the problem in terms that can be measured
- Check whether the data can support an answer
What you get
- An overview of data and systems
- A clear problem definition
- A proposed approach
Result
A decision on what to build first.
02
Build
Develop a working model, graph, prototype or intelligence system.
What we do
- Connect and clean the data
- Build the model, graph or pipeline
- Make the results visible in a usable interface
What you get
- A working prototype or system
- A documented data model and code
- First results
Result
Something you can try on your own data.
03
Validate
Test it against real-world outcomes and business value.
What we do
- Compare results with known outcomes
- Measure against how the work is done today
- Review limits and assumptions with you
What you get
- An evaluation against a baseline
- Documented limits
- A recommendation: deploy, refine or stop
Result
A decision based on results, whichever way it goes.
04
Deploy
Integrate it into the organisation where appropriate.
What we do
- Integrate with existing systems
- Move to production and monitor it
- Retrain and maintain as the data changes
What you get
- Production pipelines and APIs
- An interface or dashboard
- Monitoring and handover documentation
Result
A system in daily use, with clear owners.
Capabilities
Four service areas
Knowledge graph consulting and graph AI
Connect information from different systems into a structured graph for search, analytics, machine learning and AI.
Knowledge Graph Consulting & Graph AI →AI context layer: knowledge graphs for LLMs and AI agents
A semantic layer built on a knowledge graph that gives LLMs and AI agents connected, source-traceable context.
AI Context Layer with Knowledge Graphs →GeoAI and spatial intelligence consulting
Geospatial data, satellite and aerial imagery and machine learning to detect assets and predict spatial patterns.
GeoAI & Spatial Intelligence Consulting →Data science and machine learning consulting
Forecasting, anomaly detection and computer vision on operational data, tested against how the work is done today.
ML & Data Science Consultancy →
Frequently asked questions
What does Vink Intelligence do?
We build AI systems that combine knowledge graphs, machine learning and GeoAI: connecting fragmented data, understanding how things relate and predicting outcomes, including spatially. Work runs from a first look at your data to a system in daily use.
How is this different from a general AI consultancy?
We focus on problems that depend on connected and spatial data, backed by our own research and ventures. We describe each piece of work as what it is: client work, a pilot, a research prototype or an internal benchmark.
How much does a project cost?
We do not publish fixed prices, because scope depends on the data and the problem. A short conversation is enough to scope a first step.
Where are you based?
We are based in Leiden, the Netherlands. This site is available in Dutch and English.
Which problem would you like to work on?
A short description is enough to start.