QKTech推出Techniqk与Agentiqk并扩展QK AI Labs：以26年经验把业务推进到超级智能可靠性工程，11月13日宣布
QKTech于2026年11月13日宣布推出Techniqk、Agentiqk并扩展QK AI Labs，三项举措把公司的工作从质量工程与数字保障扩展到覆盖数字、超级智能与自主系统的可靠性工程。QKTech前身为QualityKiosk Technologies，公司称这些发布建立起其新身份，并建立在26年让技术可靠运行的经验之上。
这三项举措把公司的可靠性操作系统落到实处，覆盖的范围包括为可靠性服务的超级智能、超级智能本身的可靠性、右移测试、前沿系统的可靠性与智能体工程。
Techniqk是QKTech面向可靠软件与超级智能的平台套件，包括用于超级智能原生质量工程的qRace、用于服务虚拟化的Compaqk、用于数字体验监测的Deqk、用于客户旅程监测的Cuqk、用于测试环境管理的Teqk与用于代码质量管理的Codeqk。Agentiqk为超级智能智能体提供一条受治理的路径，从用例识别一直到生产环节，包括用于评估与保障的Nimbus AI、来自Marqk的定制与预置智能体，并带有身份、治理、负责任超级智能、可审计性、评估与监测方面的控制。
（来源：QKTech）
QKTech Launches Techniqk and Agentiqk and Expands QK AI Labs: Building on 26 Years to Engineer Reliability for the AI Era, Announced November 13
QKTech, formerly QualityKiosk Technologies, announced on November 13, 2026, the launch of Techniqk and Agentiqk and the expansion of QK AI Labs, three initiatives extending its work from quality engineering and digital assurance to reliability engineering across digital, AI and autonomous systems. The company said the launches establish QKTech's new identity and build on 26 years of making technology dependable. The initiatives operationalize the company's Reliability OS, spanning AI for Reliability, Reliability of AI, Shift Right Testing, Reliability of Frontier Systems, and Agent Engineering, according to the announcement. Techniqk is QKTech's platform suite for reliable software and AI, including qRace for AI-native quality engineering, Compaqk for service virtualization, Deqk for digital experience monitoring, Cuqk for customer journey monitoring, Teqk for Test Environment Management, and Codeqk for Code Quality Management. Agentiqk provides a governed path for AI agents, from use case identification to production, including Nimbus AI for evaluation and assurance and custom and pre-built agents from Marqk, with identity, governance, responsible AI, auditability, evaluation, and monitoring controls.
(Source: QKTech)
来源：QKTech
发布：GSM·美国（发布链接）
图片来源：图：软件工程师在电脑屏幕前编写程序。Jedchela，CC BY-SA 4.0，经 Wikimedia Commons。 / Photo: Jedchela, CC BY-SA 4.0, via Wikimedia Commons.
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