Data fabric
A unified layer for discovering, loading, transforming, and moving subsurface data across formats, projects, and execution environments.
Private build // selected partners
The AI-first operating system for
subsurface work.
Foundation brings data, interpretation, processing, physics, project memory, and governed AI execution into one technical environment — so intelligent systems can safely participate in the work, not merely comment on it.
Not a chatbot
Not a dashboard
Not closed software
A programmable execution layer
Category thesis
Agents are not the platform. They are one way into it.
Foundation is not a chat layer placed on top of legacy subsurface tools. It is an AI-first subsurface operating system: a coordinated environment for data access, visualization, processing, physics-grounded quantification, project memory, and governed AI execution.
Every layer is being designed so human experts, copilots, agents, and ML pipelines work from the same technical context — the same data contracts, the same workflow state, the same evidence trail, and the same scientific constraints.
That is the difference between AI that comments on subsurface work and AI that can safely participate in it.
Our point of view
AI does not need another assistant. It needs an operating substrate for the work.
Built as a system, not a feature
A controlled environment for subsurface intelligence.
Foundation is designed to connect data, visualization, interpretation state, processing, physics, evidence, and AI assistance into one operational frame — without forcing teams to surrender technical control.
Visual execution
High-performance interpretation views where AI assistance is grounded in the same spatial and technical context human experts use.
Scientific core
Classical geophysical processing, rock physics, attributes, well ties, and validated reference methods keep AI outputs technically defensible.
Governed intelligence
Copilots, agents, ML models, project memory, and domain language models operate through shared contracts, review gates, and provenance.
Strategic difference
Built beneath the prompt.
Most AI products start here
- Ask a question
- Summarize a project
- Generate a recommendation
- Hand the burden back to the expert
Foundation starts underneath
- Bind context to technical work
- Track evidence and assumptions
- Constrain what AI can safely change
- Turn decisions into traceable execution
Operating principles
Designed for teams that cannot afford black-box subsurface AI.
Foundation is for technical organizations where trust, repeatability, auditability, extensibility, and expert control are not optional.
Context before action
AI assistance must understand the project state before it proposes technical work.
Evidence over assertion
Recommendations need traceable support, not confident prose detached from the record.
Review before commitment
Human experts remain in control of changes that alter technical interpretation.
Programmable by design
Customers can build their own tools and workflows without breaking away from the governed technical record.
Customer build surface
Not just a product. A subsurface platform your team can build on.
Foundation exposes a public API so customers can create their own tools, workflows, views, automations, integrations, and domain extensions — through traditional development or AI-assisted coding.
ToolsBuild specialized technical utilities around your own operating practices.
WorkflowsEncode repeatable methods without waiting for a vendor roadmap.
ViewsCreate project-specific ways to inspect data, evidence, and interpretation state.
ExtensionsDevelop safely on top of the same data, execution, visualization, and governance layer.
Where it matters
Complex subsurface work has too many hidden states.
Data readinessWhat is usable, missing, suspect, or stale?
Workflow stateWhat has been done, and what remains blocked?
Technical reasoningWhich assumptions shaped the current interpretation?
Decision contextWhat evidence supports the next operational move?
Private preview
We are engaging selectively.
Foundation is in private development for operators, service companies, research groups, and technical teams preparing for AI-native subsurface work. The preview is focused on serious workflows, real project constraints, controlled technical execution, and customer-extensible platform use cases.
Good fit if you care about:
- AI-assisted subsurface workflows
- traceable technical decisions
- programmable customer extensions
- enterprise-ready governance