Operational and data constraints that slow AI adoption in Oil & Gas
AI must operate reliably alongside PI System, historian exports, and operational workflows where downtime directly impacts throughput and safety
Seismic surveys, equipment performance data, and operational logs cannot exit refinery or field network boundaries
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 for secure access to engineering and operational data
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- 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 deployments built for restricted Oil & Gas environments
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- 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

Governed agent execution for engineering and maintenance intelligence
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- 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

Operationalize AI agents for field, plant, and engineering teams
Today, we can proudly say that we are one of the leaders in our space in LLM Usage. The TrueFoundry platform has significantly expedited the delivery time of our ML teams. Their team has always been prompt in supporting any new model or feature we need. Our team today thinks of them as a “product team as a service” to offload any engineering & Infra requirements.

GenAI infra- simple, faster, cheaper
Trusted by The Oil and Gas Companies To Scale GenAI



