From energy-saving equipment to an AI-native industrial data platform, we have kept building along one industrial path. Our products grew from years on the factory floor, not from presentation slides.
China University of Political Science and Law; master's degree, Chongqing Party School; senior mechatronics engineer. Twenty years in hydraulic press, die-casting and stamping energy efficiency, connecting factories, digital platforms and customers.
USTC; PhD in Mechanical Engineering, Stony Brook University; former automation lead at DMG MORI North America. Develops edge devices for stable, low-cost connections to complex equipment.
Master's, Wuhan University; PhD, University of Maryland; former big-data platform lead at Twitter. Leads cloud-native data platform and Harness AI-native architecture design.
Senior researcher at Lucy Cavendish College, University of Cambridge, and Fellow of the Academy of Social Sciences. Connects universities, research institutes, government and industrial funds.
Computer science graduate with 20 years in IT technology and project management, including 11 years in manufacturing delivery. Brings strategy, machine data, AI platforms and international expertise to the factory floor.
Former chief security lead for a Baidu business, recipient of China's Outstanding Achievement Award in Information Security Technology, and certified in information security services. Protects data, access auditing and compliance from machines to the platform.
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AI-native industrial platform
Founded in 2019, Big Cloud builds on its parent company Yixienzhen's industrial experience since 2006, focusing on automotive and component manufacturing. AimCloud combines industrial gateways and an AI-native platform with equipment, production and business rules to create industrial agents. On-site implementation and ongoing service help companies improve assets, efficiency, energy, costs and profits.
Our parent company began with equipment energy efficiency and automation, building lasting knowledge of processes, machines and customers on factory floors.
Stage 1 · Equipment automation
Turned factory expertise into collectible signals and visible operating states, making machine data a reusable production resource.
Stage 1 · Equipment automation
Converted years of on-site R&D into an independent technology company focused on industrial data collection and platform capabilities.
Stage 2 · Industrial data capabilities
Moved from isolated collection to shared definitions and connected assets, establishing traceable, reusable data and management practices.
Stage 2 · Industrial data capabilities
Launched the AimCloud AI-native industrial platform, deploying, operating and validating industrial agents in real factories.
Stage 3 · AI-powered transformationRecognized in 2022 · Reviewed in 2025
Chongqing · Recognized in 2024
DB50/T 627–2015 · Parent company participated in drafting
8 invention patents · 50+ utility models and software copyrights
Covering machine data collection, edge computing, energy-saving control and other core technologies.
Hardware structural designs and platform software copyrights, backed by ongoing R&D investment.
Core team members additionally hold 5 US patents and 30+ Chinese patents.
Recognized credentials. Assured quality.
Our parent company, Chongqing Yixienzhen Energy-Saving Power Equipment Co., Ltd., has served automotive, motorcycle and component manufacturers since 2006. For 20 years, the industry and customers have remained our focus as we evolved from projects to platforms, individual clients to groups, and industrial IoT to an AI-native industrial platform.
Starting with the machines, lines and energy use we know well, let's explore what business problems we can solve together in the AI era.
