AgentIQ AI

An intergrated system
where your knowledge base powers AI agents
These agents deliver solutions through business-friendly interfaces and every interaction strengthens your knowledge base - all backed by enterprise-grade infrastructure and security.

Key Differentiators

Knowledge Base–First Approach

Always get accurate, reliable results because every AI agent runs on a structured, verified knowledge base that becomes your company’s permanent asset.

Business-Friendly Deployment

Launch AI agents fastly, no heavy IT needed, so your teams can act faster without delays.

Full Data Ownership

Keep 100% control of your knowledge. You decide what goes in, who accesses it, and how it evolves.

Data Governance & Proven Security

Protect sensitive data with enterprise-grade security, deployed on-premise or on Cloud with certified compliance.

Seamless Integration

Connect instantly with your existing systems (SCADA, MES, ERP) and external data sources without disrupting operations.

Multi-Persona Orchestrator Agent

Get insights tailored to every workers from technical detail for engineers to strategic summaries for executives — all in one platform.

CORE FEATURES

Agentiq AI Core Features.

See AgentIQ AI in action

Seamlessly build, deploy and optimize agents
that drive real business value

INDUSTRIES

AI Agents for Smart Manufacturing

Challenges: Complex production processes, downtime, quality control.

Use Cases:
  • Predictive maintenance.
  • Real-time monitoring of production lines.
  • Automated quality inspection & reporting.

Benefits: Reduced downtime, improved product quality, increased efficiency.

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Accelerating Innovation in Automotive

Challenges: Supply chain complexity, safety, innovation speed.

Use Cases:
  • AI-driven supply chain optimization.
  • Intelligent assistants for R&D and product testing.
  • Automated documentation and compliance checks.

Benefits: Faster innovation cycles, safer production, optimized logistics.

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AI Agents for Consumer-Centric Growth

Challenges: Rapidly changing demand, customer engagement, cost control.

Use Cases:
  • Demand forecasting.
  • AI assistants for customer support & personalization.
  • Smart inventory management.

Benefits: Better customer experience, reduced waste, higher profitability.

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Autonomous AI Specialists for Semiconductor Manufacturing

Challenges:
  • Fragmented knowledge across SOPs.
  • Training burden & dependency on senior engineers.
  • Frequent Miss-Operations (MO) and audit violations.
  • Inconsistencies relative to CIM may result in compliance gaps.


Our solutions:
  • Structured Knowledge Base: unify SOPs, tool manuals, NCR/EAR lessons into one.
  • Knowledge Retention: capture and share operator know-how and lessons learned.
  • Predictive & Troubleshooting Agents: guide step-by-step recovery, reduce downtime.
  • Multi-Agent Platform: connect MES, CIM, AOI and Tableau for real-time report and insights.
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Use-case of AgentIQ AI Agents:

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Knowledge Base & Workflow

Compliance Checker – Validate actions against standards.
Approval Flows – Route requests to the right approvers.
Shift Handover – Auto-generate shift reports and summaries.
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Training Agent

Skill Tracking – Monitor progress, auto-recommend training.
Micro-Learning – 5-min lessons before each shift.
SOP Coach – Step-by-step guidance, quizzes, AR/VR practice.
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Troubleshooting Agent

Alarm Navigator – Suggest root causes with probability scores.
Defect Analyzer – Detect recurring patterns, link to solutions.
Expert Assistant – Auto-prepare logs for remote support.
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Operation Manual Agent

Smart Search – Instant manual lookup by error or keyword.
Context Guidance – Show right instructions based on tool state.
Revision Control – Highlight manual changes, prevent outdated use.

Intelligent Assistants for Energy Enterprises

Challenges: Safety, environmental risk, asset management.

Use Cases:
  • Predictive maintenance of rigs & pipelines.
  • Real-time monitoring for safety & compliance.
  • Knowledge assistants for geoscience & exploration data.

Benefits: Safer operations, reduced downtime, improved compliance.

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AI Agents for Finance & Banking

Challenges: Fraud detection, regulatory compliance, customer service demands, and risk management.

Use Cases:
  • Intelligent assistants for regulatory compliance and reporting.
  • Automated customer support.
  • Risk analysis and credit scoring.

Benefits: Enhanced security, faster compliance, improved customer experience, and smarter financial decision-making.

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Transform Your Knowledge Into Assets
Your Knowledge, Your Agents, Your Control