Tatsoft Ships FrameworX 10.1.5: Industrial AI Platform With Knowledge Graph and On-Premise AI Service

2026-07-07 · Source: The AI Journal · Field: Manufacturing & Industrial — Smart Manufacturing & Industry 4.0, Automation & Robotics, Manufacturing Operations & Management · Depth: Intermediate, quick

Summary

Tatsoft released FrameworX 10.1 Update 5c (version 10.1.5) on July 7, 2026, a significant update to its unified SCADA, HMI, and Historian platform. This release integrates AI across engineering and operations, featuring an AI assistant in the Designer that uses 18 native MCP tools to build tags, alarms, and scripts from plain language, potentially yielding a 10x+ improvement in setup time. For runtime, AI Chat allows engineers and operators to query live process data and historian records. A Local AI service runs on-premise, ensuring data privacy without cloud dependency. The platform also introduces an industrial ontology layer, organizing assets semantically according to ISA-88, ISA-95, and OPC-UA standards, with RDF/OWL import/export and a one-click Knowledge Graph report. FrameworX 10.1.5, compatible with Anthropic Claude and other MCP-supporting AI models, also adds MongoDB and QuestDB connectors, OIDC/OAuth2 SSO, REST APIs, GIS/CAD import, a 12-language interface, and updates to .NET 10 LTS. It is a free upgrade for all FrameworX 10.x customers.

Key takeaway

For industrial automation engineers evaluating SCADA/HMI platforms, FrameworX 10.1.5 offers significant efficiency gains. You can utilize the AI assistant to reduce configuration time from weeks to a single session, building tags and displays with plain language. Additionally, the on-premise Local AI service ensures your operational data remains secure within your firewall, addressing critical data sovereignty concerns. Consider this free upgrade to enhance operational intelligence and accelerate project deployment without cloud dependencies.

Key insights

Tatsoft's FrameworX 10.1.5 integrates on-premise AI and industrial ontology to streamline SCADA/HMI engineering and operations.

Principles

• AI assistants accelerate industrial automation setup.
• On-premise AI ensures data sovereignty.
• Semantic industrial ontologies enhance data context.

Method

The platform's AI assistant uses plain-language descriptions to generate SCADA/HMI configurations via 18 native MCP tools, while AI Chat queries live process data.

In practice

• Use AI assistant for rapid tag and alarm creation.
• Implement Local AI for secure, cloud-independent operations.
• Generate Knowledge Graph reports for asset hierarchy visualization.

Topics

• Industrial AI
• SCADA/HMI
• Knowledge Graph
• On-Premise AI
• Industrial Ontology
• Automation Platforms

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Automation Engineer, AI Engineer, Domain Expert

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Editorial summary, takeaway, and curation by AIssential. Original article published by The AI Journal.