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Enterprise Layer Intelligence
Categories/Agentic Process Automation/AITOMATIC
AITOMATIC

AITOMATIC

Founded 2021

Deploy autonomous engineering agents to manage and monitor industrial equipment and manufacturing processes

Pricing model

Demo

You can use Aitomatic to capture domain expertise and run governed digital engineers across your industrial facilities. The system converts specialized engineering knowledge into cognitive ontologies to inspect processes, diagnose anomalies, and execute maintenance actions. It connects directly with control systems like SCADA and BMS while operating entirely on-premises or in air-gapped environments. You can automate defect classification in semiconductor manufacturing, balance energy grids, and monitor building controls without sending private data to public clouds. Each agent verifies permissions before executing commands to ensure physical safety.

What AITOMATIC does

Diagnose root causes of machinery alertsClassify manufacturing defects in production linesAudit operational agent action logsMonitor process drift across chemical equipmentMap equipment asset trees to cognitive ontologiesValidate tool execution permissions before dispatchTrack machinery degradation to schedule maintenanceRuns locally in on-premises or completely air-gapped physical environmentsChecks execution authority and permissions before any automated action runsEncodes tacit human judgment into structured cognitive ontologiesInspects equipment telemetry and process-flow data from SCADA and BMS systemsDetects process drift and performs root-cause analysis on industrial machineryPrevents autonomous agents from modifying core operating policies without approvalProvides domain-specific foundation modules for semiconductor, energy, and process plants

Pricing breakdown

Pricing model: Book a demo

Frequently asked

SCADA, DCS, BMS, SCADA systems, DCS (Distributed Control Systems), BMS (Building Management Systems), MQTT protocols, OPC-UA, Azure IoT Hub, AWS IoT Core, Snowflake

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Aitomatic, DanaOS, industrial AI, digital engineers, cognitive ontology, neurosymbolic AI, predictive maintenance, anomaly detection, root cause analysis, semiconductor AI, air-gapped AI, SCADA integration, building automation, process manufacturing, industrial automation, edge computing