With new funding, ManaMind is scaling its AI-driven testing platform, using autonomous agents to automate QA in game development and improve speed, efficiency, and software quality.
London-based ManaMind has raised $1.5 million in a pre-seed funding round to advance its AI-driven game testing platform. The round was led by Sure Valley Ventures, with participation from EWOR, Ascension, SyndicateRoom, and Heartfelt.
Founded by Emil Kostadinov and Sabtain Ahmad, ManaMind is developing autonomous AI agents designed to replace repetitive manual quality assurance (QA) processes in game development. As games grow in scale and complexity, testing has become an increasingly resource-intensive part of production, often requiring significant time and cost to ensure a polished player experience.
The company’s system continuously plays through games to detect bugs, generating actionable reports and enabling teams to focus on resolving issues rather than documenting them. By running testing in parallel with development, the platform aims to support faster release cycles and improve overall software quality.
Emil Kostadinov, CEO and co-founder of ManaMind, said that game development should prioritise human creativity over repetitive testing tasks:
We’re automating the manual, time-consuming parts so studios can focus on building amazing worlds. We’ve developed our own proprietary visual model specifically for virtual environments because gaming demands that level of precision. Gaming is our launchpad, but our vision is to build the autonomous testing layer for all software and, ultimately, robotics.
ManaMind has already established design partnerships with Included Games and Crazy Labs, reflecting early demand for AI-native testing infrastructure within the global games industry.
The funding will be used to expand the company’s technical team, accelerate development of its proprietary models, and support growth across key markets. While gaming is its initial focus, ManaMind aims to extend its autonomous testing approach to broader software and robotics applications over time.