QuanTuring Inc.
Update：2026/11/10
Industries
Main Industry
Software
Main Product/Service
QuanCog — An Auditable Enterprise Knowledge Platform: Built for Tier-1 manufacturers, research institutions, and regulated industries, QuanCog provides the infrastructure for the cognitive layer of Physical AI. It transforms static assets—from technical presentations and internal documents to industry research and patent data—into an interactive AI knowledge partner with source citations and full traceability. With flexible public cloud, on-premises, and hybrid deployment options, QuanCog accelerates executive decision-making while ensuring full data sovereignty.
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Founded Year
2025
Unified Business No.
60433110
Status
Active
Number of Employees
3
Total Paid-in
Capital
1,000,000 (NT$)
Location of Company
Taiwan
, Taipei City
Website
Company names, registration status, legal representatives, founding years, paid-in capital, registered addresses, and other details are sourced from business registration records maintained by Taiwan’s Administration of Commerce, Ministry of Economic Affairs. Exit status includes Emerging Stock Board listings, M&A, and IPOs. Information on overseas expansion is self-reported by startups.
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About the Company
QuanTuring Inc. develops QuanCog, an auditable enterprise knowledge platform. Every sentence in an answer includes citations to source documents and page numbers. Responses to high-risk questions are released only after cross-checking by multiple AI reviewers, and the system explicitly declines to answer when information is insufficient. Available in cloud, hybrid, or fully on-premises (air-gapped) deployments, QuanCog serves sectors with stringent audit requirements, including finance, manufacturing, and semiconductors. Its proprietary retrieval engine achieves a Hit@5 score of 97.4% (200-question benchmark; Wilson 95% confidence interval), 100% retrieval performance for Chinese and Japanese, and a cross-domain mean reciprocal rank (MRR) of 0.945. Performance results for its on-premises, full-stack inference have been published on the NVIDIA Developer Forum. Use cases include functional safety and regulatory documentation, process and equipment documentation, and audit and quality assurance documentation.
The content above was translated by Ai
