Engineering Knowledge
Allow engineers and operators to interact with manuals, specifications, procedures, drawings and historical knowledge.
Solutions
Industrial AI Systems,
Engineered End to End.
Each solution starts from the manufacturing process and works outward: data, knowledge, models, agents and the interfaces engineers and operators use every day.
01Capabilities
Built for Real Industrial Problems.
Process Intelligence
Connect manufacturing variables and historical performance to identify patterns and improve processes.
Predictive Operations
Apply machine learning to quality, reliability, maintenance and process outcomes.
Agentic Workflows
Build AI agents capable of researching, analyzing, preparing information and executing repeatable workflows.
Computer Vision
Use visual AI for inspection, monitoring and defect identification.
Operational Excellence
Combine industrial engineering methods with AI to accelerate loss analysis, root cause analysis and continuous improvement.
02Architecture
One Architecture,
Many Applications.
The same layered architecture supports knowledge retrieval, anomaly detection, vision inspection and agent-driven workflows.
L1
Industrial Environment
- PLC
- Sensors
- SCADA
- MES
- ERP
- Quality Systems
- Engineering Systems
L2
Industrial Data
- Time series
- Batch & lot
- Process parameters
- Events
L3
Engineering & Enterprise Knowledge
- Manuals
- SOPs
- Specifications
- Drawings
- Process history
- Maintenance history
- Engineering knowledge
L4
Knowledge Infrastructure
- Document processing
- Embeddings
- Vector search
- Reranking
- Metadata
- Knowledge graphs
L5
Artificial Intelligence
- Large Language Models
- Machine Learning
- Computer Vision
L6
AI Agents
- Retrieval
- Analysis
- Reasoning
- Execution
L7
Industrial Applications
- Engineering Copilot
- Plant Knowledge
- Predictive Quality
- Process Optimization
Insight
Decision
Action
03Deliverables
What We Build.
01
Knowledge Systems
Retrieval infrastructure over manuals, SOPs, engineering documents, quality records and historical operating events.
02
Decision Support
Models and agents that surface process deviations, quality risk and maintenance signals in the operator's workflow.
03
Vision Systems
Inspection and process monitoring built around real production conditions, fixtures, lighting and cycle times.
04
Deployment Architecture
Private cloud, customer infrastructure, local GPU or on-premise models — selected by operational requirement.