Unikie and Silicon Labs: Creating On-Device AI Solutions
In the rapidly evolving world of AI technology, Unikie is leading the development of embedded software and on-device AI optimization. With a focus on delivering efficient, scalable and cost-effective solutions, Unikie partnered with Silicon Labs to offer intelligent edge solutions powered by low-footprint, ultra-low-power SoCs with built-in AI acceleration. The partnership is focused on performance-optimized edge computing, providing businesses with the tools they need to stay ahead of the competition in their industries.
Unikie’s Expertise in On-Device AI
On-device AI, also known as edge AI, refers to the practice of running AI algorithms directly on local devices rather than relying on cloud-based servers. This method offers several advantages, including lower latency, improved data privacy, and reduced bandwidth usage. It also helps reduce energy consumption by processing data more efficiently at the source, making it a more sustainable and energy-conscious approach—particularly well-suited for battery-powered or resource-limited devices.
Unikie has a strong expertise in creating AI solutions optimized for on-device processing and System-on-Chip (SoC) based AI acceleration. By also leveraging our deep knowledge in embedded software and sensor fusion, Unikie takes customers’ product performance to a new level.
Silicon Labs AI/ML Accelerated SoCs and Modules
Silicon Labs is known for its expertise in developing secure, intelligent wireless technology for a more connected world. The collaborative partnership between Unikie and Silicon Labs focuses on supporting device OEMs to get the most out of Silicon Labs' SoCs by solving complex software challenges. From proof of concepts (POCs) to product commercialization, we are committed to supporting Silicon Labs' clients' deployment of scalable, performance-optimized edge AI applications. The partnership ensures that companies looking for cost-effective edge solutions running on low-footprint hardware have access to the best-in-class technology, software and expertise.
Joint Solutions for AI enabled Edge Computing
Unikie and Silicon Labs offer a range of solutions designed to meet the diverse needs of businesses seeking edge computing benefits. These solutions include:
Efficient Device Firmware: Unikie develops device firmware with edge-AI capabilities for device manufacturers. With deep experience in Silicon Labs SoCs’ SDKs, we can quickly develop the software to meet customers’ specific needs.
AI Model Deployment Optimization: Unikie specializes in optimizing AI models for device and edge local use. This includes AI deployment on Silicon Labs chips, making the best use of on-chip AI acceleration, streamlining data pipelines, and GPU-specific AI performance optimizations.
Cybersecure Products: The collaboration ensures that the solutions are not only high-performing but also secure. Unikie's long experience in embedded software security can be leveraged by device vendors to ensure their products are secure in all aspects.
Real-World On-Device AI Applications and Success Stories
Unikie and Silicon Labs have already demonstrated the potential of their partnership through various successful projects. For example, we have showcased on-device embedded AI/ML solutions at industry events, highlighting the practical applications and benefits of our technology.
Most recently at Embedded World 2025, Unikie and Silicon Labs jointly showcased a wheel position detection solution running on a low-cost BG24 Bluetooth SoC. This solution enables tire pressure data to be accurately linked to each individual wheel using minimal hardware. The end application is a Tire Pressure Monitoring System (TPMS), where reliable wheel identification is key to ensuring accurate and timely alerts.
The underlying principle is derived from Bluetooth AoA algorithms that normally require several sensors and resource-heavy mathematical processing and filtering to produce reliable positioning data.
In the showcase, Unikie’s AI algorithm runs on one Silicon Labs BG24 chip which, using the on-chip AI hardware accelerator, performs the calculation in just a few milliseconds.
In short, by combining Unikie's skills in embedded software and on-device AI optimization with Silicon Labs' AI/ML SoCs, we are leading the way in performance-optimized edge computing. Our joint offering gives companies the tools to create innovative, cost-effective edge solutions that run on low-footprint hardware.
See our demonstration video, filmed at Embedded World 2025:
