EPC Digital Transformation
End-to-end digitalization of engineering workflows, from document control to automated data handover across procurement, construction and operations.
60% fewer manual engineering hours
Industrial AI Platform
Foundation models built for engineering
Bridging Engineering Physics and Modern AI for real-world industry.
From Digital Twins to Physics-Informed Neural Networks.
50+
Projects Delivered
99.9%
System Uptime
10×
Faster Engineering
Digital Twins
Predictive Maintenance
Process Optimization
Energy Management
Drilling Automation
Asset Management
Quality Control
Structural Monitoring
Agentic AI
AI Co-Pilot
Physics-Informed ML
Real-time SCADA
Anomaly Detection
3D Modelling
Data Integration
IoT Sensors
Simulation Engine
AI Co-Pilot
Live · Generating
Automation
Workflow active
Trusted across
Oil & Gas
Energy
Manufacturing
EPC & Infrastructure
Mining & Metals
Capabilities
What we build
Six capability areas where engineering physics, plant data and AI come together in workflows your teams already run.
Autonomous Engineering
AI-generated piping, electrical and instrumentation specs, drawings and 3D models that cut engineering hours by up to 60%.
60% faster deliverables
Digital Twin Systems
Live virtual replicas of your physical assets, syncing real-time sensor data with engineering models for full operational visibility.
9% energy reduction
Industrial IoT Integration
Unified connectivity layer for SCADA, PLCs, field sensors and cloud platforms, all feeding one intelligent data pipeline.
From field signals to informed decisions
Predictive Analytics
Machine learning models that detect anomalies, trace root causes and forecast failures before they impact production.
88% RUL accuracy
Physics-Informed AI
Neural networks constrained by physical laws — delivering accurate predictions even with limited training data.
Predictions grounded in physical laws
Highlights
Explore the tools, solutions and expertise behind your next step.
Products
Turn drawings into a plant knowledge graph.
Plant Knowledge Graph
Link P&IDs, tags, equipment and operational data into one engineering graph your teams and AI copilots can query.
Extract · Link · Query
Solutions
See the signals. Anticipate the issue.
Predictive Asset Intelligence
Use plant data to detect anomalies and forecast equipment degradation, helping your team plan maintenance with better insight.
Detect · Diagnose · Predict
Services
Connect the data behind every decision.
Data Engineering & Integration
Bring historians, databases, CAD systems and enterprise platforms together to support your engineering and AI workflows.
Connect · Structure · Integrate
Core Modules
Purpose-built AI modules
Focused intelligence for production, maintenance, simulation and field knowledge. Each module connects engineering context with the data your team uses to make decisions.
Production Optimization
Find better operating settings.
Use production data and process constraints to explore adjustments to equipment and operating parameters. Help engineers evaluate the balance between output, energy use and asset performance.
- Works with
- Production telemetry, equipment settings and operating limits.
- Helps your team
- Compare operating adjustments and identify opportunities to improve performance.
Predictive Maintenance
Spot changes before they become disruptions.
Look for abnormal patterns in equipment signals and track how asset condition changes over time. Give maintenance teams a clearer starting point for investigation and planning.
- Works with
- Vibration, pressure and other equipment condition signals.
- Helps your team
- Investigate anomalies, assess degradation and prioritize maintenance attention.
Digital Twin & Physics AI
Explore what could happen before making a change.
Connect asset models with operating data and engineering physics. Use simulation to understand process behavior and examine how proposed changes could affect capacity, reliability or energy use.
- Works with
- Engineering models, process conditions and sensor data.
- Helps your team
- Compare what-if scenarios to inform engineering and operating decisions.
GenAI Field Copilot
Put engineering knowledge within reach.
Bring technical documents and operating records into a conversational workflow. Help field teams find relevant information, investigate issues and prepare reports using their existing knowledge base.
- Works with
- O&M manuals, P&IDs, shift logs and incident reports.
- Helps your team
- Find context for operational questions and prepare draft reports for team review.
Start with the workflow that matters most.
Tell us what you want to improve. We’ll help identify a module and the data it needs.Find the right starting point
Our Process
From discovery to full-scale deployment
A proven five-step framework that takes your industrial operations from raw data to intelligent, self-optimizing systems.
- 01
Assess & Discover
Weeks 0 – 2We analyze your industrial systems, data infrastructure and operational challenges to define a precise AI strategy aligned with your engineering environment.
- 02
Design & Model
Weeks 2 – 6We architect physics-informed models and digital twin frameworks tailored to your specific process constraints, asset types and data sources.
- 03
Integrate & Deploy
Weeks 6 – 10Seamless integration with your existing SCADA, IoT and ERP systems — zero operational disruption, working around your production schedule.
- 04
Optimize & Monitor
Weeks 10 – 14Real-time monitoring dashboards, anomaly detection and continuous model refinement keep your systems performing at peak efficiency.
- 05
Scale & Evolve
Week 14+We grow with your operations, expanding AI capabilities across new assets, sites and use cases as your data and ambitions mature.
Engagement Models
How we engage
Three scopes, from a fixed-timeline pilot on your own data through to a long-running delivery partnership.
014–8 weeks
AI Pilot
Validate one high-value use case on your real data with a fixed-scope, fixed-timeline pilot.
Ideal for: Teams proving feasibility and value before wider investment.
- One scoped use case
- Your real data and documents
- Working pilot, not slideware
- Validation against ground truth
- Production roadmap and estimate
023–6 months
Solution Delivery
Take a validated use case to production — integrated, secured, and adopted by your engineering and operations teams.
Ideal for: Organizations ready to deploy AI into live engineering or operations workflows.
- Production-grade build
- Integration with your tools and databases
- Cloud, on-prem, or hybrid deployment
- Security and governance review
- User training and human-in-the-loop setup
- Hypercare and stabilization period
03Ongoing
Enterprise AI Partnership
A multi-workstream partnership covering roadmap, delivery, MLOps, and continuous improvement across plants and teams.
Ideal for: Enterprises scaling Industrial AI across multiple assets and use cases.
- Multi-use-case roadmap
- Dedicated delivery team
- MLOps, monitoring, and model maintenance
- Architecture and governance ownership
- Quarterly value reviews
- Priority support
Discuss your project
Not sure which scope fits? We can work that out in a first call.
Get In Touch
Start a conversation
Have a specific industrial challenge or want to explore what AI can do for your operations? Send us a query and we will get back to you within one business day.
Email
hello@eigenlab.ai
Website
eigenlab.ai
Focus
Oil & Gas, Energy, Industrial