AgenticIQ™
AgenticIQ™ is LTTS' complete-lifecycle Agentic AI platform – purpose-built to deploy intelligent autonomous agents and workflows for engineering and manufacturing industries.
Designed for Product Development, Software Development, Embedded Systems, Manufacturing, and IT/OT environments, the solution enables enterprises to move beyond isolated AI assistants to coordinated multi-agent workflows that can plan, collaborate, and integrate with enterprise systems, and execute governed actions with domain context.
Most AI Initiatives Never Move Past the Pilot
Decisions wait on inboxes, tasks stall between disconnected systems and adding AI on top of that does not address it. Generic agents are unpredictable, built for chat rather than engineering, unsafe with regulated data, and rebuilt from scratch with every project. Introducing AgenticIQ™ — intelligence built into the work itself: reliable, engineering-grade, running on your data, and reused across every team.
Where AgenticIQ™ Goes to Work
Alarm investigation: Agents correlate alarm, asset, operational and diagnostic data in a knowledge graph to explain what happened, identify root cause, assess business impact and recommend the corrective action.
95–98% analysis accuracy
Process deviation resolution: Deviations such as mixer overload are detected in real time, mapped to the relevant SOP, and returned with root-cause hypotheses, corrective actions and expected outcomes.
Less downtime · fewer batch losses
Maintenance analysis effort: Equipment telemetry and maintenance history are analysed for anomalies and risk, producing prioritised preventive actions. Runs on historian exports and IoT logs — no SCADA integration required.
No OT connectivity needed to start
Manual log review: System logs are ingested and parsed automatically, returning structured root-cause analysis, error classification and code-level debugging guidance from Python tracebacks.
Faster issue resolution
Build the Next — on Your Own Terms
Experience AgenticIQ™ orchestrating a live engineering workflow – on your data, within your environment, and under your control.
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