Think Silicon is a pioneering company specializing in ultra-low power Graphics Processing Unit (GPU) Intellectual Property (IP) for embedded systems. The company operates in the technology sector, focusing on Internet of Things (IoT), wearables, and other embedded systems that require efficient and high-performance graphical interfaces. Think Silicon's primary clients include manufacturers of IoT devices, wearable technology, and other embedded systems that need advanced graphical capabilities without compromising on power efficiency.

The company offers a range of products, including NEMA GPUs, which are designed to deliver high performance while consuming minimal power. These GPUs are available in various configurations, such as the XS 1x Core, XL 1000, XL 2000, and XL 4000, each tailored to different performance and power consumption needs. For instance, the XS 1x Core operates at 500 MHz with a power consumption of just 1mW, making it ideal for ultra-low power applications.

Think Silicon also provides several extensions to enhance video processing and graphical interface development. These include the VG Lite Extension for resolution scaling without aliasing and the Video Overlay Extension for high-speed, high-resolution video processing. Additionally, the company offers tools for asset management and image optimization, ensuring optimal visual appearance and efficient memory utilization.

The business model of Think Silicon revolves around licensing its GPU IP to manufacturers and developers. This means they make money by allowing other companies to use their technology in exchange for a licensing fee. They also offer evaluation kits for technology assessment and pre-silicon application development, which helps potential clients understand the benefits of their solutions before committing to a full-scale implementation.

In summary, Think Silicon is a key player in the embedded systems market, providing ultra-low power GPU solutions that enable high-performance graphical interfaces for IoT, wearables, and other embedded devices.

Keywords: Ultra-low power, GPU, Embedded systems, IoT, Wearables, Video processing, Graphical interface, Licensing, Asset management, Image optimization.