SORBA.ai and Tatsoft launch native AI connector for FrameworX

SORBA.ai and Tatsoft announced a technical partnership on September 29, 2026, adding a native bi-directional AI connector to FrameworX’s Unified Namespace. The integration lets industrial users push live and historical plant data into SORBA.ai and return predictions, diagnostics and optimization outputs directly into operations.

Why it matters: - The integration ties industrial AI directly to live operations instead of forcing plants to move data into a separate analytics stack. - FrameworX users can keep AI outputs inside the same Unified Namespace used by operator screens, alarms, scripts and workflows. - The connector is designed to reduce duplication of historian data and avoid extra middleware.

What happened: - SORBA.ai and Tatsoft announced a technical partnership and native integration between the SORBA.ai Industrial AI platform and Tatsoft FrameworX. - The new SORBA AI Analytics Connector for FrameworX was announced on September 29, 2026. - The connector creates a native, bi-directional connection over MQTT between FrameworX and SORBA.ai. - SORBA.ai appears in FrameworX as a native tag provider over MQTT. - The integration is built for industrial organizations using FrameworX Unified Namespace architecture.

The details: - FrameworX publishes the industrial data model and structure to SORBA.ai. - FrameworX streams live tag values in real time to SORBA.ai. - FrameworX can provide historical data on demand for model training and analysis. - Historical data can come from Canary, InfluxDB, SQL-based systems and other supported sources. - SORBA.ai writes predictions, calculated values, diagnostics, forecasts and optimization outputs back into the FrameworX Unified Namespace as native tags. - FrameworX applications can use those results in operator displays, dashboards, scripts, alarms, workflows and other operational logic. - The connector supports regression and classification. - The connector supports clustering and pattern recognition. - The connector supports anomaly detection and predictive analytics. - The connector supports time-series forecasting. - The connector supports virtual sensors. - The connector supports digital twins. - The connector supports predictive maintenance. - The connector supports process optimization and advanced process control. - The SORBA AI Analytics Connector is documented as part of the Tatsoft FrameworX connector ecosystem.

Between the lines: - The partnership positions SORBA.ai as an AI layer embedded in plant context, not a separate data science environment. - The architecture lets customers train models on existing historian investments while also using current operational values for inference. - Tatsoft is emphasizing UNS-native extensibility, with data model and UserTypes added automatically alongside other tags and assets. - The two companies are framing the product combination as a closed information loop from assets to analytics and back to operations.

What's next: - Industrial users can adopt the connector to feed operational data into SORBA.ai and return AI outputs to FrameworX workflows. - Tatsoft customers can access the integration through the FrameworX connector ecosystem. - Both companies are positioning the partnership as a foundation for broader industrial AI deployment across existing operational systems.

The bottom line: - The new connector makes SORBA.ai’s industrial AI tools available inside FrameworX without adding a separate integration layer.