MLchipIgnite ML is a groundbreaking platform designed to bring the power of custom machine learning (ML) chips to remote sensor IoT applications. Delivering an optimized system-on-chip (SoC), it addresses the limitations of current general-purpose solutions, enabling product developers to create highly efficient, battery-powered ML devices at the edge.
Remote sensor products today rely on general-purpose chips that consume too much power and are too bulky for many applications. The market is dominated by top-tier companies using off-the-shelf chips, limiting the possibilities for smaller players to innovate. Long-tail applications—where specialized, low-volume products are needed—struggle due to the high costs and technical barriers involved in creating custom chips.
chipIgnite ML offers a customizable platform that delivers the following benefits:
Key Features
RISC-V Based CPU
Utilizes a 32-bit core for efficient processing.
Advanced ML Acceleration
Custom logic for event detection and ML acceleration tailored to specific applications.
Ultra-Low Power Design
Features clock-gated logic and low-power states to maximize battery life.
Customizable Analog Interfaces
Integrates programmable op-amps, ADCs, DACs, and more for direct sensor interfacing.
Flexible Development Process
An automated design flow allows non-experts to easily turn ML models into hardware solutions, using either open-source or commercial tools.
Who is it for?
The chipIgnite ML platform is perfect for companies looking to build innovative remote sensor products across a variety of industries:
Smart Homes & Buildings
From predictive maintenance and energy efficiency to security and assisted living.
Industrial Applications
Ideal for production line monitoring, inventory management, and predictive maintenance.
Agriculture
Helps farmers optimize irrigation and monitor livestock health.
Environmental Monitoring
Useful for tracking air and water quality, as well as structural health in infrastructure.
Retail
Enhances customer behavior analysis and inventory management.
Personal Wellness
Powers fitness trackers, fall detection devices, and more.
chipIgnite ML outperforms existing alternatives by providing application-specific custom ASICs that minimize active processing time, reduce power consumption, and streamline ML event detection. With power consumption as low as 10 microamps, chipIgnite ML is a game changer in edge ML technology.
Both options include fabrication on an MPW shuttle, development boards, and access to EDA tools for seamless integration.
| Early Customer Development Release | November 2025 |
| First Customer Prototype Shuttle | April 2026 |
| First Production Release | Late 2026 |
Unlock the potential of custom ML hardware for your next product. Contact us to learn more about our innovative platform and how it can help you accelerate development, reduce costs, and bring your unique product vision to life.
We use cookies to improve user experience. Choose what cookie categories you allow us to use. You can read more about our Cookie Policy by clicking on Cookie Policy below.
These cookies enable strictly necessary cookies for security, language support and verification of identity. These cookies can’t be disabled.
These cookies collect data to remember choices users make to improve and give a better user experience. Disabling can cause some parts of the site to not work properly.
These cookies help us to understand how visitors interact with our website, help us measure and analyze traffic to improve our service.
These cookies help us to better deliver marketing content and customized ads.