Enterprise Ready : VPC | On-Prem | Air-Gapped

AI infrastructure for Oil & Gas to support uptime and field operations

Governed access to models and agents running inside refinery and field network boundaries — enabling RAG over WellView, PI data extracts, SAP PM records, and operational procedures, with full audit logs and RBAC

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Operational and data constraints that slow AI adoption in Oil & Gas

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Production-Critical Environments

AI must operate reliably alongside PI System, historian exports, and operational workflows where downtime directly impacts throughput and safety

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Restricted Operational Data

Seismic surveys, equipment performance data, and operational logs cannot exit refinery or field network boundaries

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Audit-Bound Workflows

AI outputs must preserve traceability and align with established maintenance data structures (e.g., ISO 14224) to support HSE and environmental reportin

Controlled AI access architecture for industrial energy systems

AI Gateway architecture with reports, documentation, maintenance, models, tools, and agents interconnected.

AI Gateway for secure access to engineering and operational data

  • A single interface for LLMs working over PI System exports, SAP PM data and technical documentation, without ever moving data outside controlled networks
  • Ensure AI integrates consistently into engineering and production-support workflows while maintaining strict access boundaries and audit logging
AI Gateway setup page with API provider and model selection options for OpenAI and others.

AI deployments built for restricted Oil & Gas environments

  • Deploy in VPC, private cloud, or on-prem refinery/field clusters to keep operational and engineering data within the same security perimeter as existing systems
  • Maintain full traceability of prompts, outputs, model versions, and approvals to support HSE documentation and maintenance-governance needs
Clusters table with cluster names, nodes, cloud accounts, and base domain URLs listed.

Governed agent execution for engineering and maintenance intelligence

  • Use TrueFoundry’s MCP Gateway to centrally register agents and enforce discipline-specific access to SAP PM extracts, inspection reports, alarm/event logs, etc
  • Apply routing, caching, and rollout governance so troubleshooting assistants, maintenance-analysis agents, and shift-handover summaries move safely from pilot to production
MCP servers list with sentry, atlassian, slack, github-app, and testing-mcp-servers for project management tools integration.

Operationalize AI agents for field, plant, and engineering teams

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Shift handover assistant
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Inspection summary copilot
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Root-cause analysis agent
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Asset monitoring agent
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Production reporting agent
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Seismic data analysis agent

TrueFoundry has helped us speed up the rollout of LLM capabilities while reducing the engineering burden on our teams. We can deploy and refine new models quickly, and their support operates like an extension of our own product organization.

Director of Digital Innovation
US-based Refinery
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GenAI infra- simple, faster, cheaper

Trusted by The Oil and Gas Companies To Scale GenAI

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