Beijing Achu Technology

Beijing Achu Technology (Aqrose) develops an industrial AI vision platform providing competitive AI tools, AI models, and turnkey solutions for quality control, environmental health and safety checks, and process optimization across manufacturing industries. The company's product portfolio includes AIDI, smart AI software for defect inspection and classification, assembly verification, sorting and grading, and character recognition; AIDG for industrial AI data generation using pretrained networks and stable diffusion for synthetic defect generation; AQVision for AI vision system development; SV2000, a highly integrated smart vision system with hardware, software, and pretrained models in a plug-and-play format; Video Analysis System for operator SOP checks, factory EHS checks, and anomaly warning with low false positive rates; AI Review System for upgrading existing data and equipment with AI without new investment; Robot Inspection System for large-sized and irregular-shape workpiece inspection; and AQ-VLM, an industrial vision language model powered by foundation models and accumulated industrial defect data. Aqrose's core technologies include computational imaging with AI-based image fusion, high-precision small AI models achieving 0.5ms inference speed with only 20-30 NG images for training, and industrial AI data generation. With over 20,000 deployed AI systems across 1,200+ factories operating continuously for 2,000+ days, the company is ISO 27001 certified and serves electric vehicle batteries, consumer electronics, semiconductors, automotive, pharmaceutical, food and beverage, photovoltaics, packaging, and electronic components industries. Founded in 2017 and headquartered in Haidian, China, Aqrose has raised approximately $29.5 million at the Series B stage from investors including Legend Capital, DCM Ventures, Baidu Venture Capital, Longcapital, Inno Angel Fund, PowerCloud Venture Capital, Xiang He Capital, Shuimu Tsinghua Alumni Seed Fund, and Vision Knight Capital.

Cognitive Computing > Applications > Manufacturing > Defect Detection,

Manufacturing Tech > Manufacturing Execution System > Quality Management > Visual Inspection

College Wise > Tsinghua University