Cegal helps oil and gas companies manage subsurface data and applications across tools, so teams work from the same data and make faster decisions.
This also creates the foundation for using AI in a practical way, where models can access consistent, high-quality data across systems and workflows.
In most E&P environments, the same issues repeat across assets and teams. Data is duplicated across interpretation tools, changes are difficult to track, and teams spend time reconciling information between systems rather than using it. These challenges are typically reinforced by fragmented application landscapes, where cloud and on-premise environments are not fully connected.
Without this foundation, AI initiatives often remain isolated experiments, limited by inconsistent data and lack of integration.
We address this by structuring and connecting the full technology stack:
- Platform – secure, vendor-neutral access to data and applications (Cetegra)
- Data management – consistent, traceable subsurface data across tools
- Applications – geoscience software and hydrocarbon accounting (EnergyX)
- Advisory & operations – architecture, integration, and ongoing support
This creates a more controlled environment where data, applications, and workflows are aligned, and where AI can be applied across the value chain, not just within individual tools.
