Industry-Academia Collaboration & Tax Savings

For enterprises with on-site testing environments, we provide academically rigorous technical support to deploy AI models on edge devices and communication nodes, enabling low-latency, security-assured automated management. Research outcomes simultaneously enhance corporate technical capabilities and contribute to academic publications.

Integrating the ISO 42001 / 27001 management frameworks, we research enterprise AI governance mechanisms and establish auditable algorithm management processes. Your R&D investment simultaneously yields a certifiable management system.

Research on indoor positioning algorithms based on Wi-Fi, BLE and other wireless signals, applied to smart factories, hospitals, shopping malls, and more, achieving meter-level or even sub-meter real-time positioning accuracy.

Integrating AI technology into various application scenarios, including natural language processing, recommendation systems, and data analytics. Below is a live example, “Fortune Navigation,” showcasing how AI can be applied into a real product.

Industry-academia collaboration is a formal R&D program led by university professors with enterprise participation, subject to university review and a formal cooperation agreement. Unlike regular outsourcing, R&D expenditures under industry-academia collaboration qualify for investment tax credits under the Statute for Industrial Innovation. Additionally, such partnerships are viewed favorably when applying for government grants. The academic rigor provided by the university significantly enhances the technical credibility of the project.

Under Article 10 of the Statute for Industrial Innovation, enterprises may choose between two options: (1) deduct 15% of the current year’s R&D expenditure from the current year’s corporate income tax, or (2) deduct 10% of the previous three years’ R&D expenditure from the current year’s corporate income tax. For example, with an annual industry-academia collaboration expenditure of NT$2 million, option one yields a NT$300,000 tax credit. Combined with government grants, the net R&D cost can be reduced to less than half of the original investment.

Absolutely. In fact, the government actively encourages SMEs to collaborate with universities. Multiple programs from the National Science and Technology Council and the Ministry of Economic Affairs include scoring bonuses for industry-academia partnerships. AISML is specifically positioned to serve as an external R&D center for mid-sized enterprises, bridging the gap in theoretical foundations and academic rigor, so that SMEs can access the same caliber of technical resources as large corporations.

AISML focuses on three key areas: (1) AI Edge Computing, deploying AI models on edge devices for low-latency automated management; (2) 6G Secure Communications, security assurance research for next-generation communication nodes; (3) AI Governance & Cybersecurity Compliance, establishing enterprise AI governance frameworks based on ISO 42001/27001 management standards. All research outcomes are eligible for government grants and R&D tax credits.