The digital product development world is now evolving towards quality systems that not only “detect errors” but also “self-improve.” Redefining contemporary quality automation with its “Agentic AI architecture,” kayIQ.ai set out to offer a powerful and innovative solution to the increasing quality assurance effort brought about by new approaches such as increased automation, generative artificial intelligence, and “vibe coding” in digital product development processes. Founded by a team experienced in digital transformation, artificial intelligence transformation, and digital product management, kayIQ.ai ensures that digital products and new versions reach users much faster and with higher quality.

kayIQ.ai aims to minimize risks in commercial operations and reduce the costs of poor quality by empowering quality assurance processes with artificial intelligence, creating an autonomous structure. It specifically targets increasing the efficiency of product teams in finance, insurance, e-commerce, and large-scale digital platforms.

The platform’s core strategy is to integrate test design, test production, test execution, maintenance, and release readiness processes into a single AI-powered intelligent ecosystem. Thus, quality becomes not just an audit at the end of the development process, but a constant layer of intelligence integrated throughout the entire product lifecycle.

Gökduman: “We are leaving the operational burden to AI, and the strategy to the teams”

Speaking on behalf of investor Magis Teknoloji, İsmet Gökduman stated that the platform fills a gap in the sector and said: “As Magis Teknoloji, we see that the future of digital product development processes lies in autonomous artificial intelligence systems. kayIQ.ai brings a very innovative, agentic (autonomous) artificial intelligence approach to quality assurance processes, which are one of the biggest bottlenecks in the sector. With the platform, we are leaving the operational burden to AI, and the strategy to the teams. The resources we provide at the seed stage together with the founders are not only a financial backing; it is an indication of our great belief in this powerful vision that will transform classic quality automation.”

Special: “We are transforming Quality Assurance into a Decision Intelligence that Guides Product Development Processes”

Speaking on the subject, Tolga Özel, Founder of kayIQ.ai, pointed out that with the power of artificial intelligence, digital products are now being developed much faster, and that the acceleration and strengthening of quality processes in terms of the product lifecycle become has a critical requirement. Stating that problems in digital products offered for use increase the risk of causing commercial losses and negatively affecting user experience, Özel emphasized that they aim to provide a solution to this fundamental problem with kayIQ.ai.

Özel stated that product groups spend considerable time and resources creating quality scenarios, fixing broken automations, and adapting to constantly changing user interfaces, adding, “We are changing this unsustainable approach; we are transforming quality assurance processes from a human-labor-scaled operation into an intelligent system capability supported by AI spying. Our platform can automatically generate quality scenarios from needs, self-discover user interfaces, automatically improve broken flows, and measure the readiness of releases in real time.”

Their goal is to empower development teams with machine power and generative AI to address increasing quality efforts and challenges. Özel emphasized that the goal is to eliminate repetitive, time-consuming operational tasks and enable them to take on a more strategic role, stating, “Quality assurance is no longer just a control mechanism at the end of the work; it is becoming a decision intelligence that guides product development processes with the unique machine power offered by generative artificial intelligence. We aim to be a pioneer in this transformation.”