Production lines, work order tracking, quality inspections & defect logging, maintenance scheduling, OEE monitoring, and safety incident reporting — aligned to ISA-95 and OPC-UA.
A single platform that connects machine operators, quality engineers, maintenance supervisors, and the Plant Manager.
Machine operators, production supervisors, quality engineers, maintenance technicians, safety officers, Plant Managers, and Factory CFOs.
Manage production lines and machines, track work orders with Kanban workflow, run quality inspections with defect logging, schedule and record maintenance, monitor OEE (availability × performance × quality), and report safety incidents.
The Plant Manager or Factory CFO queries OEE performance by machine and shift, defect rate trends, maintenance costs, and production optimization — all in plain English.
Purpose-built data models, workflows, and views — generated by the VeloIQ™ framework and refined for the vertical.
Line hierarchy with machine catalog (CNC, robot, conveyor, press, etc.). Status tracking, operating hours, and maintenance history per machine.
7-stage work order workflow (draft → completed/cancelled) with priority, quantity tracking (ordered/produced/scrapped), and machine-level operation lines.
Multi-type quality checks (dimensional, visual, functional, chemical, etc.) with defect rate calculation. Defect logging with severity, root cause, and corrective action tracking.
Preventive, corrective, predictive, condition-based, and emergency maintenance logs. Downtime minutes, cost, and parts tracking per maintenance event.
Per-machine, per-shift OEE records — availability %, performance %, quality %, and composite OEE %. Roll-up by production line and time period.
NIST 800-61r2-inspired incident lifecycle (reported → closed). Incident types include near-miss, injury, equipment damage, environmental, chemical spill.
VeloIQ™ Industry 4.0 MES ships as a complete, working application — not a template you still have to build.
Arrives with realistic sample data plus a clean production-ready schema. Explore the app instantly, then switch to the clean database when you go live.
Pre-configured NL chats: OEE performance dashboard, quality control analytics (native), plus maintenance analysis, production optimization, and safety trending (agentic).
One veloiq run and the full application is live: REST API, React frontend, admin back-office, and AI console — all on your own infrastructure.
Automated smoke and regression suites ship with the app, so every deployment can be validated before users touch it.
Measurable outcomes for every role in your organization — from daily operators to strategic decision-makers.
Per-machine, per-shift OEE with drill-down into availability, performance, and quality components. NL dashboards surface top loss reasons.
Maintenance logs with downtime and cost tracking. Agentic analytics identify machines with rising maintenance frequency before they fail.
In-line quality checks with instant defect rate visibility. Defect logs capture root cause and corrective action — closing the quality feedback loop.
Safety incidents tracked alongside production data — see the correlation between safety events and OEE, not in a separate silo.
Data models and metadata that speak your industry’s language — because compliance and interoperability start with the schema.
| Area | Standard | Models mapped |
|---|---|---|
| Enterprise-control integration | ISA-95 (IEC 62264) | Equipment hierarchy (Enterprise → Site → Area → Line → Machine), work operations, quality operations, maintenance operations, and OEE / KPI definitions |
| Machine data models | OPC-UA | MachineryItemType, JobOrderType, QualityControlItemType, OEEItemType, SafetyItemType, MaintenanceItemType |
| Performance | OEE (Overall Equipment Effectiveness) | Availability × Performance × Quality — the universal manufacturing KPI, tracked per machine, shift, and line |
Every VeloIQ™ vertical application is versioned source code — not a locked SaaS. Fork, extend, integrate, or white-label.
Each module is a self-contained VeloIQ™ unit with its own models.py, generated GUI views, and REST API. Add or remove modules as your needs evolve.
Bring in IQVigilant for NL analytics, exception alerts, and personalization — or install other VeloIQ™ extensions from the community. Configured declaratively in veloiq.toml.
Add custom business logic in custom_api.py, override page templates per model:action, or add SQLAdmin views for advanced administration.
Switch from the shipped SQLite to PostgreSQL, MySQL, or Snowflake with a single connection string change. Schema migrations are tracked via Alembic.
AI-ready with 1-User Natural Language · 10 Exception Alerts · 100 Personalization — learn about IQVigilant capabilities
Get in touch with the VeloIQ™ team to discuss deployment, customization, and licensing.