French Startup Thunder Code Secures €7.8M Funding

The round was led by Silicon Badia, with support from Janngo.africa, Titan Seed Fund, MEDIN Fund Management, and several well-known angel investors.

These include Roxanne Varza (STATION F), Quentin de Metz (PennyLane), Guillaume Amblard (AI investor), Karim Beguir (InstaDeep), and Sebastien Leang (Uptale – Immersive Learning).

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Thunder Code is focused on making quality assurance easier and more effective using smart automation.

Thunder Code’s mission is to make software testing faster, easier, and smarter. It aims to improve product quality while cutting down the usual complexities of QA processes.

The company is building tools that offer advanced testing features for development teams worldwide.

Thunder Code’s platform uses AI to make software testing faster and easier. It offers self-healing test suites, lets users create tests using plain English, provides real-time debugging insights, and speeds up testing by up to 90% compared to traditional methods.

The platform works with existing developer tools and is built to scale for both startups and large companies.

Instead of relying on traditional automation tools, Thunder Code uses AI agents called “expert personas” that act like specialists in areas such as UI/UX, accessibility, and security.

These personas provide helpful insights without requiring advanced technical skills. The AI also takes care of running and maintaining tests, including automatically fixing broken or outdated ones.

“From Paris to Tunis, our team is reshaping one of the most critical — and overlooked — layers of the software lifecycle. With the global QA market projected to hit $512B by 2033, this is a wave we’re not just riding — we’re helping build it,” says the company.

About Thunder Code

Founded in 2025, Thunder Code is focused on making quality assurance simpler and smarter through intelligent automation. Its mission is to make software testing more efficient, easy to use, and effective—improving product quality while cutting down the usual challenges of QA processes.