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Semiconductor Analytics

The Semiconductor solution provides AI-assisted data analytics for semiconductor fabrication (fab) environments. It enables fab engineers to query manufacturing data using natural language, run automated analysis workflows, and gain insights into production processes, the AI agent generates and executes Python code on behalf of the engineer.

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Who Is It For

Fab Engineers

Analyze manufacturing data, identify yield issues, and investigate process deviations using conversational AI instead of manual SQL queries.

Process Engineers

Monitor process parameters, detect drift, and correlate process variables with quality outcomes using AI-assisted analytics.

Quality Engineers

Track defect rates, analyze wafer maps, and identify root causes of quality issues with automated data exploration.

Operations Leaders

Access high-level dashboards and generate reports on fab performance, throughput, and equipment utilization.

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Key Capabilities

Fab engineers interact with manufacturing data through a natural-language chat interface:
  • “What is the yield trend for product X over the past 30 days?”
  • “Which tools have the highest defect rates this week?”
  • “Compare process parameters between high-yield and low-yield lots”
  • “Show me wafer map defect patterns for the last 100 wafers”
The system generates Python analysis code, executes it in the sandboxed Code Execution service using the platform’s data-access layer, and returns results with interactive visualizations.

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Architecture

The Semiconductor solution follows the same architectural patterns as the other CRAFT solutions:

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Platform Integration

The Semiconductor solution integrates with the shared CRAFT:
  • Authentication: Keycloak OIDC with organization-specific user management
  • Authorization: JWT-based access control with organization-scoped data queries
  • Data connections: Database connections managed via the data source connection system
  • Multi-tenancy: All data isolated per organization
The Semiconductor solution operates as an independent platform with its own microservices (Backend API, AI Agent, MCP Server, Client Dashboard), shared library, and infrastructure. See the detailed architecture documentation for the full system design.

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Semiconductor-Specific Analytics

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Data Model

The solution understands standard semiconductor manufacturing data structures: