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UlexIoTy

Conduit — Industrial Context Mesh

The Industrial Context Mesh that adds meaning to your OT data without moving it.

Meaning without movement.

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Industry

Manufacturing

Unified visibility across your production floor

Manufacturing operations generate massive amounts of data across PLCs, SCADA systems, historians, and quality systems. Conduit connects them all without moving a byte.

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< 30s
Query response time
10
NQE templates built-in
4
Data source types

The Challenge

01

Data Silos

Production data in Splunk, quality data from MQTT sensors, maintenance logs in separate systems—each source speaks a different language.

02

Slow Root Cause Analysis

When quality issues arise, engineers spend hours manually correlating data from multiple systems to find the cause.

03

IT/OT Friction

Every new report requires IT involvement, creating backlogs and frustration for operations teams.

The Solution

NQE Natural Language Queries

Ask questions in plain English using 10 built-in NQE templates. Query production metrics, quality data, and maintenance events without learning query languages.

Cross-Source Correlation

Get correlated results from Splunk alarms, MQTT sensor data, and OPC-UA process values in one query. The Query Planner handles dispatch and merging automatically.

Dynamic UNS Tag Discovery

Organic tag discovery across all connected sources. No manual configuration—tags appear in queries as soon as translators connect.

"Ask 'what stopped in the last hour' and get correlated results from Splunk alarms, MQTT sensor data, and OPC-UA process values — in one query."

Example NQE Query
Natural Language → Structured Query, Conduit

Related Use Cases

Energy & Power

Grid-scale visibility with edge intelligence

Operations

Answers at the speed of thought

Engineering

Deep analysis without the data engineering

See Conduit for Manufacturing

Get a personalized demo showing how Conduit works for your specific use case.

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