GIS, maps and terrain
Place the investigation in its geographic setting, with survey locations, surface features and infrastructure.
Bring seismic, boreholes, geology, terrain, maps and engineering data onto one canvas. Explore how they fit together, then use Foundation's tools to process, interpret and model the subsurface.
Early access through the Founding Industry Partnership.
Retired illustrative interface.
A map shows where a project sits. Seismic, boreholes and geological models help explain what lies below it. Foundation brings these observations and interpretations into a common spatial environment, alongside terrain and engineering data.
Move from the regional picture to a section, a structure or a borehole. Compare the model with the measurements that support it, using linked views for data that needs a closer look.
Place the investigation in its geographic setting, with survey locations, surface features and infrastructure.
Examine seismic, boreholes, geophysics, horizons and faults together in their spatial context.
Compare interpretations, simulations and engineering geometry with the observed ground conditions.
The canvas gives the data its context. Processing, interpretation and analysis tools let you investigate it.
A reservoir study, a mine and an offshore wind survey ask different questions of the earth. Each draws on geology, spatial data and measurements. Foundation lets you assemble the combination your investigation needs.
Tie wells to seismic, interpret horizons and faults, and examine geological models alongside log and attribute data.
Bring drillhole geology, geophysics and geological surfaces together with terrain and mine workings.
Examine the storage geology for carbon capture, utilisation and storage projects, using wells, seismic, faults and monitoring observations.
Explore relationships between wells, faults, geological units and geophysical observations in the geothermal setting.
Review site and cable-route ground conditions using geophysical surveys, boreholes, terrain or seabed data and engineering layouts.
Compare boreholes, cone penetration tests and laboratory results with the geology along a tunnel, foundation or infrastructure alignment.
The same approach extends to groundwater and environmental investigations wherever subsurface observations need geographic context.
Foundation brings data access, seismic processing, rock physics, machine learning, interpretation, visualisation and repeatable workflows into one shared earth canvas.
Keep seismic, wells, surfaces, faults, maps and engineering context together while moving between regional and detailed views.
Pick and track horizons, interpret faults and keep every change tied to the seismic evidence behind it.
Move from traces and volumes to attributes, spectra, structure, horizon analysis and time-lapse comparisons.
Condition gathers, build stacks and AVO products, and retain the QC needed to decide whether the result is usable.
Build and run repeatable processing flows from a searchable catalogue instead of assembling command pipelines by hand.
Calibrate rock-physics models from well data, compare candidate relationships and carry useful priors into seismic work.
Prepare, train, evaluate and publish scientific machine-learning models with explicit inputs, limitations and qualification evidence.
Build reusable seismic models, adapt them to new data and carry qualified models into governed production use.
Inspect technical data in coordinated displays built for geoscience rather than generic business charts.
Visualise large subsurface scenes with domain-aware rendering, streaming and linked views.
Move smoothly from a whole-project overview to full-resolution detail. Foundation's own formats and access paths serve the detail the view needs while preserving exact values for measurement.
Work directly with native seismic stores and OSDU-backed sources while preserving geometry and scalable access.
Detect, read, convert and publish data across subsurface, geoscience, GIS, engineering and scientific formats.
Assemble projects from existing sources while keeping object identity, lineage and materialised results clear.
Use data and specialist tools from existing interpretation systems directly, without rebuilding the project around every application.
Turn technical work into typed, replayable workflows with human decisions, evidence and headless execution.
Work through a problem in conversation without losing project state. Foundation can gather context, propose the next step and call approved scientific tools.
Package a scientific objective as a focused application that handles context, computation, progress, review and delivery.
Start work interactively, then move the same workflow to team servers, cloud or HPC without rebuilding it for each environment.
Keep the evidence, decisions and method with the result so another person can understand it, challenge it and run it again.
Move between well ties, seismic conditioning, attributes and structural interpretation as the work demands. Compare alternative explanations while the supporting data is in view. Foundation keeps the tools connected, reducing the exports, project rebuilds and manual handoffs that interrupt an interpretation.
Find the seismic, wells, horizons and earlier reports. Reference the source data and bring the existing work into the review.
Inspect the volume, well paths and surfaces in linked views. Compare with log evidence and previous studies, and mark the areas that need another look.
Run a well tie, calculate attributes or condition a noisy interval. Compare with the original data and inspect the parameters before using the output.
Ask an agent to prepare a fault-tracking run and carry out the agreed checks. Inspect the candidate beside the seismic, then edit, accept or reject it.
Save the reviewed interpretation with its inputs, parameters, checks and approval. The next interpreter can see what changed and reuse the workflow.
An interpretation gains value when you can see how it relates to the wider geology, neighbouring projects and the assets your organisation manages. Foundation brings subsurface data, GIS, terrain and engineering information into a common spatial context, from regional coverage to individual wells and structures.
Connect that view to the knowledge held across the business: earlier interpretations, project archives, technical reports and monitoring records. Teams can build on work that already exists, recognise gaps in coverage and assess a new interpretation against a much broader body of evidence.
Ask an agent to find relevant data and prior work, assemble the inputs, run quality checks and carry out a processing sequence. It can coordinate several tools, track progress and bring back results with the information you need to review them.
Use agents to prepare alternative processing runs, organise the outputs for comparison or repeat an established method across datasets. That leaves more of your time for judging the geology and deciding which interpretation holds up.
You define the task and the actions an agent may take. Scientific tools perform the calculations; the agent pauses for failed checks and decisions that need your attention.
Local and customer-hosted models support work within your own environment. The partnership's data commitments are set out below.
Open the result to find the source data, parameters and software versions used to calculate it. Repeat the run, test different settings or give a colleague the workflow to use on another survey.
Move from interactive desktop work to larger jobs on your servers, cloud or HPC within the same workflow. Use the compute the job needs without rebuilding the project or recreating processing steps. Results return with their inputs, parameters and execution history, ready for interpretation.
Work interactively with the data and interpretation.
Run shared processing services and repeatable jobs.
Use larger compute resources for demanding workloads.
Connect storage, identity services and specialist tools.
Foundation's native host bridge connects directly to other interpretation systems, bringing their role in the workflow into the shared earth canvas. Combine Foundation's tools with the software and project work your team already relies on.
Reduce repeated exports, imports and application handoffs. Build connected workflows across systems so adopting a new method does not mean starting the project again.
Add specialist methods, build company workflows or connect internal applications through the public API. They use the same data access, permissions and result history as Foundation's own tools.
Evaluate Foundation alongside your current software. Connect the data and tools the pilot needs, then extend its use as the team is ready.
We are inviting a small group of industry partners to evaluate Foundation on real projects. Members get early access and work directly with the team to test workflows and shape development priorities.
Show us the data you work with and the questions you need to answer. We will arrange a walkthrough around your discipline, discuss how the datasets fit onto the earth canvas and agree a pilot with your technical team.
Participation does not require sharing proprietary data or methods with other members. We agree data access and confidentiality before work begins.
We will not use your data to train models, upload it to the cloud, or allow it to be sent to frontier models through APIs or any other route.