01
Knowledge intelligence
Connect information that currently lives across different systems and sources.
- Knowledge graphs
- Semantic AI
- Graph machine learning
- Data integration
- Relationship discovery
Technology
Three capabilities. One technology foundation.
Knowledge graphs, machine learning and GeoAI complement each other. Most real problems need more than one of them.
Capabilities
What we build with
02
Predictive intelligence
Use historical and real-time data to estimate what happens next.
- Machine learning
- Forecasting
- Computer vision
- Optimisation
- Pattern detection
03
Spatial intelligence
Understand systems where location and the physical world matter.
- GeoAI
- Earth observation
- Remote sensing
- Spatial modelling
- Geospatial data
Together
Why the combination matters
- 01
Connect
A graph records which things exist, where the information comes from and how it relates.
- 02
Predict
A model uses that history to estimate what is likely to happen next.
- 03
Locate
Spatial analysis places what we know on the ground, where location changes the answer.
In practice
How the ventures combine them
Each venture uses a different mix of the same foundation.
- FlyingVink
Predictive · Spatial
- Vink Energy
Knowledge · Predictive · Spatial
- Vink Timber
Knowledge · Predictive · Spatial
- Vink Farming
Predictive · Spatial
- Vink Drug
Knowledge · Predictive