Postdoctoral Researcher
Mosaic SoC
mosaic-soc.com
Website unreachable since Oct 17, 2026
Mosaic-SoC designs specialized chips for augmented reality glasses, utilizing advanced chip design techniques honed through years of collaboration between PhDs from ETH Zurich. The company addresses the need for efficient processing power in AR applications, enhancing user experience by enabling real-time data processing and machine learning capabilities at the edge.
- Augmented & Virtual Reality
- Hardware
- Semiconductor
Updated 6 months ago
Funding
Raised to date
$4MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 1 round
KF$3.8M · Pre-Seed
Announced Apr 2026
Disclosed cumulative: $3.8M
RoundDateAmountValuationInvestors
Founders
Product
Problem
Augmented reality (AR) glasses require significant processing power for real-time data processing and machine learning, but traditional chip designs often lack the efficiency needed for comfortable extended use and optimal user experience. Existing solutions may suffer from high power consumption, excessive heat generation, or insufficient computational capabilities to handle complex AR applications.
Solution
Mosaic-SoC designs specialized chips optimized for augmented reality glasses, enabling efficient processing at the edge. By leveraging advanced chip design techniques, the company's solutions deliver the necessary computational power for real-time data processing and machine learning tasks while minimizing energy consumption. This allows AR glasses to offer enhanced user experiences with improved performance and extended battery life.
Target Audience
The primary target audience includes manufacturers of augmented reality glasses and other wearable devices requiring high-performance, low-power processing solutions.
Features
- Custom chip designs tailored specifically for augmented reality applications
- Optimized architecture for efficient machine learning and AI processing at the edge
- Low-power design to extend battery life in AR glasses
- Expertise in digital system development, from design and verification to testing and software stack development