Holmes launches with €1.1M pre-seed for autonomous software testing

2026-05-12 · Source: Tech.eu - Tech.eu · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning · Depth: Fundamental Awareness, quick

Summary

Ghent-based technology company Holmes has launched with €1.1 million in pre-seed funding to develop an autonomous quality assurance (QA) platform. The funding round was led by Syndicate One, with additional participation from Aikido founders Roeland Delrue and Willem Delbare, Showpad co-founder Louis Jonckheere, serial entrepreneur Thomas Van Overbeke, and investment funds NewSchool.vc, RDY Capital, and 100IN. Holmes aims to address the bottleneck of manual testing in AI-driven software development by continuously generating and updating tests based on how users interact with a product. This approach allows software teams to maintain product quality and release speed as development accelerates. The capital will be used to advance platform development, expand engineering teams, and support the company's rollout beyond its initial design partners.

Key takeaway

For CTOs and VP of Engineering grappling with accelerated AI development, your current manual QA processes are likely a growing bottleneck. Consider evaluating autonomous QA platforms like Holmes to continuously generate and update tests, ensuring product quality and release velocity without overburdening development teams. This shift can free up engineers and product managers from manual testing responsibilities.

Key insights

Autonomous QA platforms can eliminate manual testing bottlenecks in fast-paced AI-driven software development.

Principles

• Manual QA becomes a bottleneck with AI-accelerated development.
• Continuous testing requires understanding user workflows.
• Early QA investment is often overlooked but critical for scale.

Method

Holmes learns product functionality and user interaction, then continuously generates and updates tests for critical user journeys as the product evolves, replacing predefined scripts.

In practice

• Automate test generation to match AI development speed.
• Focus QA on critical user journeys.
• Integrate QA early in the product lifecycle.

Topics

• Autonomous QA
• Software Quality Assurance
• AI-driven Development
• Pre-seed Funding
• Holmes Platform

Best for: CTO, VP of Engineering/Data, AI Product Manager, Software Engineer, Director of AI/ML, Investor

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Editorial summary, takeaway, and curation by AIssential. Original article published by Tech.eu - Tech.eu.