KayIQ’s platform uses agentic AI architecture to automate testing workflows and reduce operational bottlenecks in digital product development
kayIQ.ai, an artificial intelligence (AI)platform designed to automate digital product quality assurance, has launched with $500,000 in seed funding provided by its founders and technology investor Magis Teknoloji.
The company aims to streamline quality assurance (QA) processes for digital products by replacing traditional manual testing with an AI-driven ecosystem built on an “Agentic AI architecture.”
The launch targets product development teams in high-stakes sectors such as finance, insurance, e-commerce, and large-scale digital platforms, where software failures can lead to financial losses and poor user experiences.
“kayIQ.ai brings an innovative, agentic AI approach to quality assurance, which has long been one of the biggest bottlenecks in the industry,” said İsmet Gökduman, speaking on behalf of investor Magis Teknoloji. “With this platform, we leave the operational load to AI and strategy to human teams.”
KayIQ’s single platform
Gökduman added that the funding reflects strong confidence in the platform’s vision to transform traditional quality automation.
The platform integrates test design, test generation, execution, maintenance, and release readiness into a single workflow. Rather than serving as a final checkpoint before software deployment, quality assurance becomes a continuous layer of intelligence integrated throughout the entire product development lifecycle.
According to kayIQ.ai founder Tolga Özel, rapid advances in software development tools—such as generative AI and emerging software trends like “vibe coding”—have accelerated code output, placing increased strain on traditional testing methods.
KayIQ’s platform automatically generates test scenarios
“We are shifting quality assurance from an operation scaled by human effort into a smart capability powered by AI agents,” Özel said. “Our platform automatically generates test scenarios from requirements, explores user interfaces autonomously, self-heals broken workflows, and measures release readiness in real time.”
Özel emphasized that the goal is to free product teams from repetitive, time-consuming tasks so they can focus on strategic initiatives.(By the way I have a story here about another AI investment, coming from Yıldız Holding)
“Quality assurance is no longer just a final control mechanism,” Özel said. “With the unmatched machine power offered by generative AI, it is becoming a decision-making intelligence that guides the product development process.”
