HONG KONG, Nov. 13, 2026 /PRNewswire/ -- Forbes, the global business magazine, has named Biel Crystal to its "2025 Forbes China Novel Intelligent Economy Selection," citing the company's deep implementation and innovation breakthroughs in smart manufacturing and industrial large models.

Biel Crystal, a leading global provider of exterior structural components and module solutions for smart devices, operates nine smart manufacturing bases worldwide. It has more than 100,000 employees and annual capacity of more than 2.5 billion units. The company has fully deployed industrial AI large models using an architecture purpose-built for industrial scenarios, embedding industrial characteristics at the foundation and spanning R&D and design, manufacturing, finished-product inspection, operations management and maintenance services.

The most representative applications are in three industrial scenarios: production, R&D and quality inspection. In production, Biel Crystal has more tightly integrated machine learning with industrial simulation to enable automatic, dynamic optimization of coating machine parameters and automatic tool compensation for CNC machine tools, improving overall efficiency by at least 10%. In R&D, coordinated use of structural, fluid/thermal, motion and electromagnetic simulations allows product designs to identify and resolve more than 80% of potential problems during the R&D stage, cutting R&D cycles by 30% to 50% and reducing physical prototypes by more than 60%. In quality inspection, its self-developed automated optical inspection (AOI) technology combines multimodal inspection, few-shot learning and millisecond-level real-time feedback, lowering the missed-detection rate to 0.05% and reducing manual re-inspection workload by 50%.

Notably, Biel Crystal did not rely on general-purpose large models. Instead, it adopted an architecture purpose-built for industrial scenarios, embedding industry's stringent requirements for real-time performance, determinism and reliability into model design from the ground up. The company says this ensures the models are "usable, stable and precise" on production lines and drives manufacturing from "single-point automation" toward "plant-wide intelligence."