From Industrial Protocols to Production Intelligence
Every factory generates mountains of data from PLCs, sensors, SCADA, MES, and APIs. The challenge was never collecting it — the challenge is making sense of it.
Connect any industrial system. Build data pipelines visually. Create real-time dashboards. No coding required.
Data lives in silos. Every system has its own version of the truth. Engineers spend hours exporting CSVs, writing custom scripts, and reconciling numbers before anyone can make a decision.
Every machine, protocol, and system feeds into a single Unified Namespace. Data is structured, validated, and available in real time — ready for dashboards, alerts, and decisions without writing a line of code.
The Complete Architecture
From sensors to cloud — one unified platform connecting every layer of your industrial stack.
What MaestroHub Does
Five pillars that turn disconnected machines into a connected, intelligent operation.
Data Integration
Connect 40+ industrial protocols and build visual pipelines that collect, transform, and route data — drag and drop, no code.
Learn more →Unified Namespace (UNS)
A structured topic tree where every data point has one address. Schema validation, historical storage, and real-time streaming.
Learn more →Dashboard Builder
Create live dashboards with gauges, charts, and tables — or describe what you want and let the AI assistant build them for you.
Identity & Access
Role-based access control, SSO via OIDC/SAML/LDAP, multi-tenancy, audit logs, and OAuth2 provider — secure from day one.
Learn more →Monitor & Operate
Health scores, execution history, connection status, system metrics, and logs. Full visibility into what is running, what failed, and why.
Learn more →What Makes MaestroHub Different
Built for the people who actually run factories, not just the IT team.
Modern Interface
A clean, intuitive UI that feels nothing like traditional industrial software. Customers say it's the first IIoT platform they actually enjoy using.
Dependency Graph
Automatically maps which data affects which — connections, pipelines, topics, and models as a living relationship graph that gives AI real context.
AI-Assisted (MCP)
Build pipelines, create dashboards, and manage connections with natural language — powered by the dependency graph for context-aware suggestions.
Zero-Ops Scaling
Start with a single binary, scale to Kubernetes when ready. Auto-scaling, embedded infrastructure, nothing to manage manually — it just runs.
Edge Manager
Manage a fleet of instances from one dashboard. Push configs, distribute licenses, monitor metrics.
Factory Simulator
Practice with a realistic 4-station production line. Real OPC UA and Modbus data, zero hardware.
Ready to start?
Build your first pipeline in 15 minutes with the Digital Factory Simulator — no hardware, no approvals, just your laptop.