Sigma Squares Tech
Level 12, Building A1, 81 Beiqing Rd, Haidian District, Beijing, Haidian District, China
Overview
平方和 develops industry intelligent-vision devices, machine-vision systems, and an industrial data platform that together provide enterprise-level visual inspection solutions. The company also built a centralized server/cloud-vision platform that aggregates images and data from multiple vision modules or production lines and returns algorithmic results to create a closed-loop inspection environment. Its solutions focus on defect detection for irregular-shaped and hard-to-see products, including transparent materials (contact lenses, optical lenses, light-guide materials, glass) and defects on complex backgrounds (knitted fabrics, battery packaging materials). Target industries include pharmaceutical and medical-device manufacturing, garment/textile, and 3C electronics. Customers listed in the article include leading contact-lens manufacturers, contract manufacturers in mainland China and Taiwan, optical-lens producers, major apparel companies, and firms such as 华为 and 联想. The company began formal operations in early 2018 and is positioning its technology for scale as manufacturers pursue automation and cloud-enabled flexible manufacturing. 平方和 provides industrial-vision overall solutions covering optical imaging system design, customized vision algorithms, visual device development, and integration of vision and production data. Its solutions address three main scenarios: measurement; recognition, classification and positioning; and quality inspection. The company emphasizes self‑developed algorithms and a cloud-platform architecture to enable data sharing and closed-loop feedback with production processes. It lists pharmaceuticals and medical devices as its core verticals while also piloting deployments in textiles, printing and consumer electronics; notable clients include 库博光学 (CooperVision), A2Sea, 华为, 联想, 博众精工, 博柯莱智能装备, 百特侨光药业, 科伦药业, 扬子江药业 and 大龙兴创. In a cited CooperVision deployment, 平方和’s solutions reportedly reduce 8–12 line inspectors per line (about £1.2M), cut raw-material waste 3–5% (about £0.5M) and increase finished yield 1–2% (about £1M) per year. The founding team includes CEO Dr. 蔡仲伦 (10 years in industrial-vision system design; 15 years in intelligent control/AI with 50+ publications) and CTO Dr. 姚佳迪 (experience in network-system platforms, data exchange research, and roles at University of Southampton and HP Labs).
- Total raised
- $1M
- Funding rounds
- 2
- Latest round
- Equity
- Latest activity
- Feb 2019
Industries
- Enterprise
- Manufacturing
Recent funding
Equity
Feb 2019
$1M