Aiplux Technology Co., Ltd.
Update：2023/06/12
Industries
Main Industry
Professional Services
Main Product/Service
Our systems are currently deployed across workflows including:
Large-scale drafting and validation of IP documents
Detection of overlaps, conflicts, and infringement risks
Automation of office actions and prosecution responses
Continuous monitoring and analysis of global IP portfolios
Deployment of agentic AI models that act based on trained legal workflows
Contextual search and report generation via RAG-based retrieval systems from private datasets
Large-scale drafting and validation of IP documents
Detection of overlaps, conflicts, and infringement risks
Automation of office actions and prosecution responses
Continuous monitoring and analysis of global IP portfolios
Deployment of agentic AI models that act based on trained legal workflows
Contextual search and report generation via RAG-based retrieval systems from private datasets
Founded Year
2019
Unified Business No.
82829695
Status
Active
Number of Employees
0
Total Paid-in
Capital
40,142,000 (NT$)
Location of Company
Taiwan
, Taipei City
Year of establishment, company status, responsible person, paid-in capital amount, and registered address are sourced from the "Commerce Industrial Services Portal, Department of Commerce, MOE."
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Introduction
AIPLUX is a next-generation AI infrastructure company, born at the convergence of legal expertise, advanced machine learning, and the real-world demands of intellectual property (IP) governance. Founded in 2019 with its headquarters in Singapore and a dedicated R&D and engineering hub in Taiwan, AIPLUX was established to answer a pressing question:
How can artificial intelligence genuinely support innovation ecosystems and IP professionals in managing IP assets at scale—accurately, securely, and in compliance with legal and industrial standards?
We began as a focused team of engineers and legal technologists working alongside IP professionals and R&D groups overwhelmed by the growing complexity and volume of patents, trademarks, copyrights, and trade secrets. These intangible assets are not only critical to economic value—they are also deeply confidential, legally sensitive, and often bound by jurisdictional regulations. They require more than automation: they demand auditability, compliance, traceability, and strategic intelligence.
How can artificial intelligence genuinely support innovation ecosystems and IP professionals in managing IP assets at scale—accurately, securely, and in compliance with legal and industrial standards?
We began as a focused team of engineers and legal technologists working alongside IP professionals and R&D groups overwhelmed by the growing complexity and volume of patents, trademarks, copyrights, and trade secrets. These intangible assets are not only critical to economic value—they are also deeply confidential, legally sensitive, and often bound by jurisdictional regulations. They require more than automation: they demand auditability, compliance, traceability, and strategic intelligence.
