Industries
Designed for the systems commodity plants share.
Lumber, aggregates, metals, petrochemicals — the materials differ, but the operating pattern is the same. One shared platform carries the workflows; each site supplies its own mappings, ontology, and boundaries.
The shared operating pattern
Different materials. The same data problem.
- Physical material moves through machine centers or process stages.
- PLCs, sensors, optimizers, and control systems generate continuous operational evidence.
- Production, downtime, throughput, quality, yield, energy, maintenance, and inventory are linked.
- Legacy databases and spreadsheets sit beside newer systems.
- The same concept has different names at every facility.
- Experienced operators hold context raw sensor tags cannot explain.
- Commodity prices and regional demand affect what, when, and how much to produce.
- Consequential actions need plant-specific controls and human accountability.
Coverage
Where the platform applies
Representative workflows — same platform architecture
Lumber and wood products
Sawmill and planer production, optimizer data, machine downtime, grades, inventory, and maintenance across mills with a mix of modern and legacy systems.
Typical systems
- PLC and machine buffers
- Optimizers and production databases
- Downtime systems
- Industry-specific ERP and legacy production systems
Representative workflows
- Output and downtime by machine center and shift
- Operator downtime classification at the machine
- Maintenance parts, stock, and purchase-order drafts
Representative workflows — same platform architecture
Aggregates and concrete materials
Crushers, screens, conveyors, and batch processes, where throughput, stockpiles, quality, and regional demand drive the operating decisions.
Typical systems
- PLC and control-system data
- Batch and process records
- Scale, ticketing, and inventory systems
- Maintenance and work-order systems
Representative workflows
- Throughput and downtime by plant and process stage
- Stockpile and quality reporting
- Maintenance planning against equipment utilization
Representative workflows — same platform architecture
Metals and recycling
Processing lines where equipment utilization, material grades, recovery, inventory, and commodity pricing all sit in different systems.
Typical systems
- Line control and sensor data
- Grade, recovery, and quality records
- Inventory and shipping systems
- Maintenance and parts systems
Representative workflows
- Utilization and downtime across processing lines
- Recovery and grade reporting with source evidence
- Market context beside inventory and production capacity
Representative workflows — same platform architecture
Petrochemicals and chemicals
PLC-heavy continuous or batch processes where throughput, quality, maintenance, inventory, and market context have to be reconciled across systems.
Typical systems
- Process control and historian data
- Batch and quality records
- Maintenance, reliability, and inventory systems
- Document and reporting systems
Representative workflows
- Throughput and process-stage performance
- Daily report and exception intelligence
- Maintenance and inventory preparation
Architecture
Shared platform, site-specific model
The platform supplies
- Edge collection and connectors
- Raw and normalized operational facts
- Ontology and semantic context
- Governed agent planning
- Reusable skills and workflows
- Dashboards, reports, artifacts, and approval gates
Each vertical and site supplies
- Source mappings
- Machine and process ontology
- Metric definitions and units
- Commodity and product taxonomy
- Site-specific workflows
- Safety, permission, and control boundaries
Not sure your process fits? Describe it.
If your plant has PLCs, legacy databases, spreadsheets, and a question nobody can answer before the morning meeting, the pattern is familiar. We will tell you honestly what maps today and what would take deployment work.