News & Events

Sage is an ultramicro embedded platform machine learning software. It can greatly reduce the cost of semantic recognition without cloud data and computing. The hardware algorithm optimization reduces the demand and cost of the chip, and the software algorithm optimization reduces the data volume and training cycle of machine learning. The project only appeared at the opening ceremony and has won the favor and interview of many domestic investors before the roadshow.

Sage Senses is a machine learning software for ultramicro embedded platform. After the IOT revolution, many devices needed low-cost sensors and semiconductor chips. Sage just solved this problem and catered to the trend of the times.

Due to the delay, network bandwidth, energy consumption of its own chip, and security of personal information and many other issues that need to be considered when transmitting all information to the cloud for processing, Sage has proposed the following two solutions for these problems: first, transmit some data and information to the cloud for processing, and leave some of them locally for processing. Second, they are all left locally for processing and not transmitted to the cloud. This greatly reduces the interference of unsafe factors and improves the stability. At the same time, the information processing is solidified locally and the cost of transmission to the cloud is reduced.

Sage has the advantage of being more flexible and easier to develop and maintain than the manually specified processing rules. It only requires common professional technology, has low cost, high efficiency, and is easy to modify.

Sage has a wide range of applications. It can interpret sensor data in various fields, including language understanding, gesture recognition, object recognition and metabolic analysis. At present, the first chip for language understanding has been developed. It has only 10 kb of core memory, does not require an operating system, and can be applied to context analysis in all fields and languages. From the perspective of partnership, Sage cooperates with major chip manufacturers by providing software, such as Intel, Xinsi Technology and ARM.

Sage’s founder has rich experience in the AI field. Kashif Kahn, as the CEO of the company, once served as the VP of Waterloo AI speech recognition startup Vestec, increasing the company’s valuation from 5 million yuan to 12 million yuan. It has promoted and sold in North America, Europe and Japan, and completed 20 million financing, including 10 million strategic investment. As the CTO of the company, Arash Abghari is the head of the Natural Language Processing Department of Vestec, leading the innovation of AI/ML technology and completing a cross platform multilingual natural language understanding system.

Sage has a broad development prospect in the future. The IOT field will create a lot of opportunities for the market. Many world leading enterprises are analyzing the value of embedding “intelligence” into their products.