Company Overview - Zhizi Xinyuan (Shenzhen) Technology Co., Ltd. was incubated by the Shenzhen Big Data Research Institute and established only five months ago. The company focuses on optimizing AI computing through "mathematics + AI," generating high-performance operators through automation to continuously drive innovation at the computing power level [2] - The team at Zhizi Xinyuan reflects the unique advantages of the integration of industry, academia, and research in Shenzhen. The founder, Ding Tian, was a former technical leader in Huawei's 2012 Lab focusing on "black box optimization." The core members include the former CTO of a leading large model company and experts in operators from top chip manufacturers, with nearly half of the R&D team holding gold medals from international mathematics and computer competitions [2] Industry Positioning - Zhizi Xinyuan positions itself as a "bridge" in the domestic computing power ecosystem. One end of the bridge connects to domestic computing power chips such as Huawei Ascend, Zhongke Haiguang, and Cambricon, while the other end connects to the "rapidly iterating and extremely hungry" AI application scenarios, ranging from general large models like DeepSeek and Qwen to vertical applications in autonomous driving, embodied intelligence, and biomedicine [3] - The goal is to allow software developers to focus solely on algorithm innovation, with underlying adaptations handled by automated tools. When this bridge is wide and stable enough, it will evolve from a tool into a standard [3] Product Introduction - KernelCAT is an expert-level agent operator that acts as a "translator" between AI algorithms and computing chips. It converts algorithms into hardware-executable instructions, determining the inference speed, energy consumption, and compatibility of AI models. The development of operators is currently seen as a "handcrafted workshop" process, heavily reliant on the experience of top engineers and trial-and-error, often taking months [6] - KernelCAT aims to address the challenges of operator development by utilizing AI to automate the process. Unlike traditional large models or knowledge-enhanced agents that struggle with complex computational tasks, KernelCAT is designed to understand the essence of the problem and achieve "intelligent-level" optimization [6] - The terminal version of KernelCAT is a locally running AI agent capable of both deep operator development and general full-stack development tasks. It offers both a command-line interface and a simplified desktop version for developers, providing robust programming capabilities beyond just specific tasks [6]