AI That Runs Modern Refinery Operations

Fluid AI supports the full spectrum of refinery operations: SOP and document retrieval, CAPEX estimation from engineering drawings, pipeline anomaly monitoring, permit-to-work digitization, and maintenance management. It connects to SAP, MES, SCADA, IoT sensor networks, and proprietary refinery document repositories.

Yes. Fluid AI is built for secure on-premise deployment in air-gapped refinery environments. All data processing, model inference, and document indexing run within your network perimeter with no external data transmission required. Hybrid and private cloud deployments are also supported.

Smart Refinery AI ingests your proprietary SOPs, P&IDs, maintenance manuals, and technical drawings using secure document connectors. Documents are indexed within your environment, and all queries are processed locally. The AI cites source documents with page and section references for every answer.

Fluid AI has native connectors for SAP (SD, MM, FI, PM via OData, RFC, BAPI), major MES platforms (Siemens, AVEVA, Honeywell), SCADA systems (Wonderware, Rockwell), OPC-UA and MQTT data streams, and IoT sensor networks. Integration typically takes 2 to 4 weeks depending on system complexity.

A typical refinery deployment follows a 4-week phased approach: Week 1 connects core document repositories and ERP systems, Week 2 brings Smart Refinery AI online for engineer queries, Week 4 activates Pipeline Security AI monitoring. Full production deployment is typically complete within 8 weeks.

Yes. Fluid AI is designed for the connectivity realities of refinery environments. Field-accessible interfaces work on low-bandwidth connections. The system can cache frequently accessed SOPs and procedures for offline access. Voice-enabled interfaces allow hands-free queries in hazardous areas where screens are impractical.