The factory floor,
unified
Connect sensors, machines, and enterprise systems into a single operational intelligence layer. Surface failure risks before they cascade, support throughput optimization, and close the loop from insight to shop-floor action.
Terabytes of telemetry,
zero closed loops
Manufacturing has invested heavily in sensors, historians, and dashboards. But the gap between seeing a problem and acting on it still depends on human middleware, tribal knowledge, and spreadsheets.
Sensor flood, insight drought
Modern production lines generate terabytes of telemetry daily. Most of it flows into historians and is never correlated. Operators drown in data while the patterns that predict failures remain invisible.
Reactive maintenance
Equipment runs until it breaks. Planned maintenance follows calendar schedules, not actual condition. Both approaches waste money: one through unexpected downtime, the other through unnecessary intervention.
Quality blind spots
Statistical process control catches defects after they happen. The drift between "in spec" and "about to fail spec" is where the real cost lives, and most MES systems cannot see it.
Planning vs. reality
ERP generates production schedules from demand forecasts. The shop floor operates in a different reality of machine availability, material delays, and operator constraints. The gap between plan and execution is managed through tribal knowledge.
From sensor reading
to shop-floor correction
Signals follow a governed path: ingested from the production floor, modeled in the digital twin, policy-checked, and executed with audit provenance.
Sensor
Ingest OPC-UA, MQTT, and historian data
Model
Build canonical production digital twin
Govern
Apply quality and safety policy
Act
Adjust, alert, and close the loop
Sensor
Ingest OPC-UA, MQTT, and historian dataModel
Build canonical production digital twinGovern
Apply quality and safety policyAct
Adjust, alert, and close the loopGoverned intelligence
for the production line
Purpose-built capabilities for manufacturing operations. Each runs on the same four-plane kernel with full audit provenance.
Predictive Maintenance
Monitor equipment health via IoT sensor streams. Model machine state in the ontology plane, predict failures with governed ML models, and trigger maintenance orders through governed write-back to your CMMS.
Production Digital Twin
Model your entire factory as typed objects and relationships. Every production line, workstation, and asset represented as a governed, queryable digital twin with continuous state updates.
Quality Drift Detection
Detect quality deviations by correlating MES and sensor data against canonical thresholds. Governed actions can quarantine affected batches and alert quality teams before defects propagate downstream.
Demand-Driven Scheduling
Optimize production schedules by unifying ERP demand signals with real-time shop-floor capacity. Canonical compute generates optimal schedules with governed write-back to MES systems.
Anomaly Detection
Governed AI agents continuously analyze production data to surface anomalies that manual monitoring may overlook. Explainable alerts with recommended corrective actions, constrained to governed interfaces.
Production intelligence,
not another MES overlay
Data Plane
Ingest OPC-UA, MQTT, and historian streams alongside ERP and MES batch data. Schema-aware normalization with drift detection and quarantine.
Ontology Plane
Model production lines, equipment, work orders, and quality parameters as typed objects with governed relationships.
Governance Plane
Role-based access for operators, engineers, and management. Purpose-of-use enforcement on every query and action.
Action Plane
Governed write-back to CMMS, MES, and ERP systems. Idempotent execution with full audit trail for every shop-floor action.
From reactive firefighting
to governed prevention
Typical scenarios from manufacturing operations. The difference between waiting for failure and governing against it.
Equipment Failure
A bearing on a critical CNC machine starts vibrating outside normal range on a Friday afternoon. The condition monitoring system logs the reading. Nobody reviews it until Monday. The bearing seizes Saturday night, halting the line for 14 hours.
Axiom detects the vibration anomaly within minutes and correlates it with the machine's degradation history. A governed workflow creates a priority maintenance order in the CMMS, assigns the on-call technician, and stages the replacement part. The bearing is swapped during the planned shift change.
Quality Drift
Dimensional measurements on a stamped part trend toward the upper control limit over three shifts. The SPC chart shows "in spec." By shift four, parts fail inspection. 2,400 units are scrapped.
Axiom identifies the trend during shift one and correlates it with die wear data. A governed alert notifies the quality engineer with full context. The die is adjusted before parts leave spec, significantly reducing scrap.
Schedule Disruption
A key material shipment is delayed by two days. The planner manually recalculates the production schedule in a spreadsheet, emails it to three shift supervisors, and hopes the updated plan reaches the floor before the old one runs out.
Axiom detects the material delay from the ERP event and recomputes the optimal schedule using real-time machine availability and order priority. The updated schedule is written back to the MES with governed approval. Every supervisor sees the same plan.
Built for regulated
manufacturing environments
ISO 9001
Governed workflows and audit trails designed to support quality management system requirements.
FDA 21 CFR Part 11
Electronic records and audit capabilities designed to support Part 11 compliance in regulated environments.
Traceability
Material-to-product lineage with transformations recorded and verifiable through the audit ledger.
Air-Gapped Capable
Designed to run in air-gapped production environments with no outbound telemetry.
See Axiom on
your factory floor
We will walk through your specific production architecture and show where Axiom fits into your MES, SCADA, and ERP landscape.
Ready to build the future?
Let's discuss how Syntropic can help you build self-evolving, autonomous systems.
Headquarters
- Montreal
1234 Rue de la Montagne
Montreal, QC H3G 1Z1, Canada