Artificial Intelligence (AI) at Microchip
Integrating Intelligence Across Our Company
Artificial Intelligence (AI) is transforming how embedded systems are designed, developed and supported. We integrate AI across our products, technical infrastructure and development tools to give our customers intelligent assistants to enable real-time, power-efficient and accessible engineering solutions.
From production-ready edge AI solutions to AI-assistants in development tools, our approach embeds intelligence where it delivers the greatest impact.
Edge AI Solutions
We offer production-ready, full-stack edge AI solutions that bring machine learning directly to embedded devices processing data locally to reduce latency, enhance privacy and enable real-time decision making without cloud connectivity. Our portfolio spans applications across industrial, automotive and consumer domains, including arc fault detection, facial recognition, keyword spotting and predictive maintenance.
Each solution combines optimized silicon, embedded Machine Learning (ML) models and development tools to help teams deploy across MCUs, MPUs and FPGAs and move from prototype to production with speed and confidence.
MPLAB® AI Coding Assistant
AI at Microchip extends beyond silicon and into the tools engineers use every day. A key example is the MPLAB AI Coding Assistant, which brings AI-assisted capabilities directly into the development environment to streamline design, coding and debugging.
Key capabilities include:
- Context-aware code assistance
- Faster code generation and refinement
- Intelligent debugging support
- Seamless integration with embedded workflows
By embedding AI within familiar engineering tools, the MPLAB AI Coding Assistant helps developers reduce complexity, accelerate development and maintain full control of their designs.
MCP Server
As AI becomes more integrated into engineering workflows, access to accurate technical information is critical. Our Model Context Protocol (MCP) Server allows AI systems to securely access structured product data and related documentation, helping improve context and response accuracy. Connecting AI models to trusted technical resources strengthens the reliability and precision of AI-powered development environments. This infrastructure supports:
- More relevant AI-driven technical answers
- Enhanced understanding of complex documentation
- Integration with AI-assisted tools
- Scalable access to technical knowledge
“The launch of our MCP Server is another example of how Microchip is leaning into AI and providing AI-based tools that help make life easier for our customers,” said Rich Simoncic, Chief Operating Officer for Microchip Technology.
Innovation and Strategic AI Expansion
We continue to expand our AI capabilities through targeted investments, portfolio expansion and innovation across compute and infrastructure domains. One key strategic initiative is the acquisition of Neuronix AI Labs, which strengthened our embedded AI expertise and accelerated the development of on-device intelligence. The investment enabled:
- Enhanced neural processing and AI acceleration capabilities
- Strengthened AI performance across MCUs, MPUs and FPGAs
- Improved efficiency and performance of on-device AI execution
- Expanded intelligent processing across our embedded portfolio
AI and Machine Learning Design Partners
AI innovation is strengthened through collaboration across hardware, software and system integration domains. We work with machine learning software providers, AI accelerator partners and authorized design partners to help accelerate intelligent system development. These collaborations support model development, deployment and AI acceleration across embedded devices and infrastructure platforms.
By combining our technology with our trusted partner ecosystem, our customers move from concept to deployment more quickly and with greater confidence.
