FaktoryIQ · Manufacturing Intelligence Platform
AI Operating System for Manufacturing Plants
FaktoryIQ ingests plant-floor, enterprise, and operational data, organizes it through a Manufacturing Ontology, and powers AI-driven applications for scheduling, inventory, plant command, quality, maintenance, and more.
From Raw Plant Data to Operational
Intelligence.
Manufacturing plants generate massive amounts of disconnected data across machines, PLCs, sensors, MES, ERP, quality systems, maintenance systems, inventory tools, spreadsheets, and operator inputs. FaktoryIQ brings all of this together into one contextual intelligence platform.
Ingest Every Kind of Plant Data
Plant-Floor Data
- PLC and machine tags
- SCADA and HMI data
- Sensor and IoT streams
- Machine states
- Cycle counts
- Downtime events
- Alarms
Operations Data
- Production orders
- Schedules
- Line output and OEE
- Quality defects and scrap
- Maintenance work orders
- Labor and shift data
Enterprise Data
- ERP orders
- Demand
- Inventory and materials
- BOM and routing data
- Supplier data
- Procurement data
- Finance and cost data
OPC UA
MQTT
Sparkplug B
Modbus
EtherNet/IP
REST APIs
Kafka
CSV / Excel
SQL Databases
Historians
MES
ERP
CMMS
QMS
Data Lakes
Protocols & Integration
Connect to the Systems Already Running Your Plant
Two Powerful Layers: Ontology + Intelligence
Manufacturing Ontology Layer
The ontology layer creates a structured digital map of the plant. It connects assets, lines, stations, machines, parts, orders, BOMs, routings, labor, inventory, quality events, maintenance records, and KPIs into one common manufacturing model.
- Plant,Area,Line,Station,Machine hierarchy
- Part, BOM, BOP, routing, order, and inventory relationships
- Contextual mapping of data to real plant objects
- Single source of truth for manufacturing intelligence
Manufacturing Intelligence Layer
The intelligence layer uses the contextual plant model to compute KPIs, detect risks, predict issues, explain root causes, recommend actions, and power AI applications across the plant.
- Real-time KPI computation
- Anomaly detection and risk scoring
- Root-cause analysis and recommendations
- AI copilots and digital worker agents
One Platform. Many Manufacturing Applications.
Once plant data is ingested and organized through the ontology layer, FaktoryIQ can power multiple high-value applications without rebuilding the data foundation every time.
AI-powered production scheduling using demand, capacity, inventory, routing, and constraints.
AI-driven inventory management that prevents shortages, reduces excess stock, and improves buyer productivity.
Real-time operational control tower for production, quality, maintenance, inventory, energy, and safety.
Detects asset risk, recurring downtime, early failure signals, and maintenance priorities.
Links defects, process conditions, material lots, machines, and operators to identify quality risks.
Monitors consumption, abnormal usage, demand peaks, and cost-saving opportunities.
Digital Twin Foundation
FaktoryIQ understands relationships between plant assets, production flow, materials, labor, schedules, orders, quality, and cost. This enables intelligent reasoning across the plant.
Assets
Machines, lines, stations, tools, sensors, and utilities.
Products
Parts, BOMs, routings, families, and process steps.
Operations
Orders, schedules, shifts, downtime, labor, and production events.
From Dashboards to Decisions
Unified Data Foundation
Break down silos across PLC, MES, ERP, quality, maintenance, and inventory systems.
Context-Aware AI
AI understands plant relationships instead of analyzing disconnected data tables.
Reusable App Platform
Build scheduling, inventory, quality, maintenance, and command center apps on the same foundation.
Build Your Manufacturing Intelligence Platform With FaktoryIQ
Start by connecting plant data, build a contextual ontology, and launch high-value AI applications for scheduling, inventory, plant command, quality, maintenance, and energy.