Heal.dev raises €4M for its AI bug-tracking agents

Heal.dev, founded in 2023, develops AI agents capable of detecting and reproducing software anomalies before reporting them to technical teams. The company has announced a €4 million funding round from Mango Capital and Alven to strengthen its technology, teams, and commercial expansion in Europe. It claims that 70% of the failures identified by its agent escape traditional code review tools and already counts a dozen startups as clients.
70% of claimed failures outside code reviews
Heal.dev asserts that 70% of the failures detected by its agent are not identified by traditional code review tools. The company also indicates that it is working with a dozen startups. The anomalies addressed include security vulnerabilities and display bugs. According to Heal.dev, in an industry where artificial intelligence enables large-scale code production, the ability to ensure application reliability could become a significant competitive advantage.
Heal.dev's AI identifies and reproduces software failures
Heal.dev's AI agent actively explores applications to identify anomalies that may escape traditional testing. It reproduces and proves each detected failure before reporting it to technical teams. This approach aims to prevent engineers from wasting time on false alerts. The announced capabilities cover the detection and reproduction of bugs as well as software vulnerabilities.
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€4M to strengthen product, engineering, and presence in Europe
The company has raised €4 million from Mango Capital and Alven. The funds will be used to refine technology, strengthen product and engineering teams, and support commercial expansion in Europe. This funding round aims to accelerate the development of the anomaly identification solution for businesses.
Founded in 2023, pivoting from test automation
Founded in 2023 by Ben Lang, Pierre Oucif, and Malo Marrec, Heal.dev initially specialized in software test automation before pivoting to AI-based anomaly detection. The acceleration of application development through artificial intelligence is accompanied by bugs, malfunctions, and security vulnerabilities that are difficult to spot before production, in a context where cybercriminals seek to exploit these vulnerabilities. Heal.dev plans to enhance its agents' capabilities to detect anomalies that are hard to identify in complex applications and aims to make proactive detection a reflex for companies developing software. For Malo Marrec, producing more code does not guarantee more reliable applications, and verification would be the next major step in software development.
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