FrameworX Evaluation Request
Start Building Today. Complete Platform. 4-Hour Runtime.
Operations + UNS + AI-Ready in One Platform
FrameworX 10.1 unifies your entire operation: SCADA performance for daily control, a Unified Namespace (single source of truth for all industrial data), and AI-ready architecture to scale into the future.
Built on .NET.
Industrial-grade SCADA
Millisecond performance
Build once, deploy anywhere (Windows, Linux, Docker).
Built-in MQTT broker & client (with SparkplugB)
Local UNS definition
Dynamic Global UNS linking
ML Integration
MCP tools
AI documentation assistant
100+ connectors built-in for true connectivity
All Editions Included: Complete Platform for Evaluation
Three editions, one foundation. Start small or go big — every step builds on the same complete platform, so your investment is always preserved.
- Enterprise: Unlimited SCADA + IIoT platform for plant-wide and multi-site scale — dashboards, analytics, and AI-ready.
- MachineHMI: Full-featured HMI/SCADA for standalone machines — unlimited tags, alarms, historian, and local control.
- EdgeConnect: Industrial edge platform with local processing, SQL, scripting, and 100+ built-in connectors.

Quick Start Resources
Click to learn more and get started!
Solution Planning
Architecture Review Meeting to discuss your needs
Technical Documentation
Discover the main concepts behind 10.1 and see the full technical reference
Learn about our SI Program
Learn about our SI program, designed for faster deployment and higher margins.
Technical Tuesday
Starting October 14th, we'll take a deep dive at 10.1 features
Download our Complete Trial
- Full Designer environment
- All modules and features included
- 100+ connectors available
- Unlimited tags and screens
- 4-hour continuous runtime per session
- Unlimited restarts
System Requirements
MINIMUM REQUIREMENTS
- .NET Framework 4.8
- Included in Windows 10+
- 2 GB disk space
- 4 GB RAM
RECOMMENDED CONFIGURATION
8GB+ RAM
RUNTIME SUPPORT
- .NET 8
- Enables WebAssembly and multi-platform
- Runtime on Linux, macOS, docker
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