Holmes: Automating Quality Assurance for the Artificial Intelligence Era

Holmes, a new technology company based in Ghent, has announced its official launch, accompanied by a significant pre-seed funding round totaling €1.1 million. The company aims to redefine the landscape of Quality Assurance (QA) in the software sector, adapting it to the demands and speeds imposed by the artificial intelligence era.

The investment round was led by Syndicate One, with participation from prominent figures in the Ghent tech ecosystem, including Aikido founders Roeland Delrue and Willem Delbare, Showpad co-founder Louis Jonckheere, and serial entrepreneur Thomas Van Overbeke. Investment funds NewSchool.vc, RDY Capital, and 100IN also contributed, underscoring strong local support.

The Challenge of Software Testing in the AI Era

The advent and rapid adoption of AI-powered coding tools have revolutionized software production speed. While these tools significantly accelerate development, they have simultaneously highlighted a growing bottleneck: Quality Assurance. Engineering and product teams still largely rely on manually written and maintained tests to ensure products function correctly.

This reliance on manual testing slows down release cycles and increases operational costs. Sofie Buyse, Product Manager at Holmes and co-founder, emphasized how QA is often perceived as essential but lacks clear "ownership" within teams, ultimately falling onto the already existing responsibilities of developers and product managers.

Holmes' Autonomous Solution

To address this challenge, Holmes has developed an autonomous Quality Assurance platform. Unlike traditional approaches that depend on predefined scripts and manual test maintenance, Holmes' solution actively learns how a product works and how users interact with it.

Based on these workflows, the platform can continuously generate and update tests. The goal is to verify critical user journeys as the product evolves, ensuring consistent and relevant coverage. Robbrecht Delrue, co-founder of Holmes, noted that many software companies do not invest in dedicated QA teams early on, but as products and development teams scale, manual testing becomes a significant constraint on release speed and growth.

Future Prospects and Deployment Implications

The funds raised will be used to accelerate the development of the Holmes platform, expand the product and engineering teams, and support the solution's rollout beyond its initial group of design partners. This investment aims to solidify Holmes' position as a key player in QA automation.

For organizations evaluating on-premise deployments or self-hosted solutions, the efficiency of Quality Assurance takes on even greater importance. In these contexts, where data sovereignty and control over infrastructure are priorities, tools that automate and improve software quality can help optimize TCO and maintain high innovation velocity. AI-RADAR offers analytical frameworks on /llm-onpremise to evaluate the trade-offs between different deployment strategies, including the integration of advanced QA solutions like the one proposed by Holmes.