SieAssist
AI-Powered Industrial Operations Assistant
A full-stack intelligent assistant that connects directly to industrial equipment, understands operational events in real-time, and provides document-grounded troubleshooting guidance with enterprise data sovereignty through on-premises LLM deployment.
Key Metrics
Sub-second reaction to operational events
Enterprise-grade availability
Mean Time To Resolution improvement
Use Cases
Real-Time Event Detection & Response
SieAssist continuously monitors equipment sensors and detects operational anomalies as they occur. When unusual patterns are detected, the system immediately creates contextualized troubleshooting sessions with reference to relevant documentation, enabling faster diagnosis without manual alert triage.
Document-Grounded Troubleshooting
When equipment fails, operators get AI-assisted guidance grounded in actual documentation—service manuals, SOPs, historical records. The system synthesizes relevant information and explains root causes, dramatically reducing trial-and-error troubleshooting and resolution time.
Intelligent Knowledge Discovery
Operators can ask questions about equipment behavior in natural language. SieAssist understands context, retrieves relevant documentation, and provides actionable answers. This democratizes technical knowledge across teams.
Predictive Maintenance Planning
By analyzing patterns in operational data and maintenance history, SieAssist identifies equipment degradation trends before failures occur, enabling proactive maintenance scheduling and inventory planning.
Architecture Overview
Machine Connectivity Layer
SieAssist connects directly to industrial equipment through industry-standard protocols like OPC-UA. Real-time sensor data, equipment states, and event logs are streamed into the system, providing the AI with live operational context. This enables immediate awareness of equipment status and anomalies.
Retrieval-Augmented Generation (RAG)
Rather than relying solely on model knowledge, SieAssist retrieves relevant documentation, SOPs, and historical records for each query. The system embeds documents into a vector database and uses semantic search to find the most relevant materials, then grounds AI responses in these retrieved documents. This ensures guidance is accurate, current, and traceable to source materials.
Real-Time Event Processing
Equipment events are processed through intelligent pipelines that detect meaningful patterns. When significant events occur, the system automatically creates troubleshooting threads with relevant context, reducing latency between problem occurrence and operator awareness.
On-Premises LLM Deployment
All large language models run on-premises within your infrastructure. This ensures data sovereignty—sensitive equipment data, maintenance records, and operational logs never leave your facility. The system uses optimized open-source models that balance capability with on-premises resource efficiency.
Role-Based Access & Governance
Different operators see different information based on their roles and clearances. The system maintains detailed audit logs of all interactions. Sensitive operational data and recommendations are governed by your access control policies.
Technology Stack
Data Integration
- •OPC-UA Protocol
- •gRPC Streaming
- •Real-time Data Pipelines
- •Event Processing
AI/ML
- •Retrieval-Augmented Generation (RAG)
- •Vector Embeddings
- •Open-Source LLMs
- •Semantic Search
Backend
- •FastAPI Framework
- •Python Services
- •LlamaIndex Vector Store
- •Async Processing
Deployment
- •On-Premises LLM (Ollama)
- •Self-Hosted Infrastructure
- •Keycloak Authentication
- •Role-Based Access Control
Business Impact
SieAssist transforms industrial operations from reactive troubleshooting to intelligent, proactive management. By reducing Mean Time To Resolution (MTTR) by 50%+, organizations achieve significant operational efficiency gains. Equipment downtime costs are cut, maintenance becomes more predictable, and operational safety improves.
The on-premises deployment model ensures critical operational data never leaves your facility, meeting the strictest data sovereignty and compliance requirements. Your organization retains complete control over the AI system and all its outputs.
Beyond efficiency, SieAssist democratizes technical expertise. Newer operators gain instant access to the collective knowledge of your organization, reducing dependency on scarce subject matter experts and enabling scalable operations across multiple facilities.
Ready to Transform Your Operations?
Let's explore how AI-assisted operations can improve your facility's efficiency and safety.
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