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    • Home
    • What We Do
      • Our Services
      • — AI & Data Insights
      • — Cybersecurity
      • — Azure + Marketplace
    • Where We Help
      • Key Industries
      • — Energy
      • — Financial Services
      • — Retail
      • — Manufacturing
    • Who We Are
      • Why Kiasi?
      • — Meet Our Team
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  • Home
  • What We Do
    • Our Services
    • — AI & Data Insights
    • — Cybersecurity
    • — Azure + Marketplace
  • Where We Help
    • Key Industries
    • — Energy
    • — Financial Services
    • — Retail
    • — Manufacturing
  • Who We Are
    • Why Kiasi?
    • — Meet Our Team
  • Resources
  • Contact

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Manufacturing

Intelligent Ops Without Compromise—From Factory Floor to Supply Chain

Manufacturers adopting AI face data scarcity—especially around rare defects—making quality control models brittle. IoT devices open new threat surfaces, while supply chain forecasting breaks down during global disruptions.

Key Pain Points:

  • Sparse labeled data crippling AI quality systems
  • IoT vulnerabilities enabling IP leakage
  • Fragile supply chains reacting poorly to shocks

THE KIASI SOLUTION:

Kiasi transforms your digital landscape by combining sensor data, network defense, and advanced modeling. Building on platform approaches like Tiemac’s AI-native TAAIB‑vCPPS, we bring digital twins into the fold—creating virtual replicas of processes and machinery that allow you to simulate, optimize, and anticipate issues before they impact production.

Our Methodology:

  • Enhancing Quality Control: We supplement limited defect data with advanced modeling techniques to improve AI-driven quality checks.
     
  • Protecting Intellectual Property: Kiasi segments networks and secure IoT devices to prevent theft of sensitive designs and processes.
     
  • Stabilizing Supply Chains: Kiasi deploys AI models built to adapt under disruption—whether geopolitical, economic, or environmental.
     
  • Meeting Standards: Kiasi helps you align with NIST IoT security guidance, export/IP controls, and compliance requirements for smart factory environments.

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