Presear AlertIQ aggregates alerts from sensors, ERP events, and external systems — applying AI prioritisation to reduce noise, route critical incidents, and drive root cause resolution.
Core Capabilities
AI-native capabilities designed to eliminate manual work and surface intelligence at the right moment.
Ingests alerts from OpsMonitor, MaintainIQ, external SCADA, IoT gateways, and third-party monitoring tools — presenting a single, unified alert feed.
ML model learns from historical incident outcomes to score incoming alerts by true urgency — suppressing low-priority noise and surfacing the 5% that need immediate action.
Define escalation paths per alert type — auto-escalating unacknowledged critical alerts up the command chain every N minutes, with runbook steps delivered to responders.
AI correlates alert sequences to identify underlying root causes — reducing repeat incidents by identifying systemic issues that individual alerts don't reveal.
Real-World Impact
Outcomes achieved by organisations that deployed Presear AlertIQ as part of GentrikOS.
Reduced alert volume by 78% through AI prioritisation — enabling the control room to focus on the 22% of alerts that genuinely required human response.
Automated escalation ensured critical process deviations reached the plant director within 90 seconds, regardless of time of day.
Root cause AI identified a recurring cooling alert pattern linked to a single faulty sensor — fixing a source of false alarms that had wasted 80 person-hours monthly.
Part of
Presear AlertIQ is one of the modules inside PresearGentrikOS's Heavy Industry OS. All modules share a unified database — so data flows freely without integration overhead. Explore the full OS →
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