$500k · Seed · AI · Istanbul, Türkiye
Istanbul-based kayIQ.ai has launched after raising $500,000 in seed funding from its founders and Magis Technology, according to Webrazzi. The company is building an AI platform intended to automate quality assurance across test design, execution, maintenance and release-readiness checks.
Autonomous QA moves testing into the release loop
kayIQ positions its product as a command layer for enterprise testing. Teams describe scenarios in natural language, and the platform says it can turn those instructions into executable tests, run them across web and mobile products, diagnose failures and repair scripts when interface changes break selectors. It also connects testing work to Jira, Figma and continuous-integration pipelines, according to the company's product site.
The customer problem is not simply writing more tests. Automated suites often become expensive to maintain as applications change, while faster software delivery increases the number of releases that need evidence before they reach users. kayIQ's commercial proposition is to reduce that maintenance burden and make test results available inside the delivery workflow, rather than leaving quality assurance as a manual checkpoint at the end.
Webrazzi reports that the platform is aimed particularly at financial services, insurance, ecommerce and other large digital businesses. Those buyers have complex user journeys and multiple systems behind each release, which creates a useful wedge for a product that can coordinate UI, API and integration tests. kayIQ's current site also presents managed QA and transformation services alongside the software, giving the team a way to help enterprises configure quality processes while the platform matures.
Enterprise trust will matter more than test volume
Self-healing is valuable only if it fixes brittle automation without hiding a real product defect. kayIQ says its system combines confidence scoring, root-cause analysis and audit controls, and its about page frames explainability as a design principle. For regulated or high-traffic customers, that distinction is likely to determine whether autonomous testing becomes part of a release gate or remains an experiment run beside existing controls.
The seed financing gives kayIQ room to build around that trust requirement, but the execution challenge is specific: it must show that generated and repaired tests remain reproducible across changing enterprise systems. If the platform can lower maintenance work while preserving a clear record of what changed and why, it can sell quality engineering as an always-on operating layer rather than another testing tool.
Sources checked:
Webrazzi funding report · kayIQ product site · kayIQ about and headquarters page · Tech.eu Funding Explorer
