Major industrial programs often suffer from cost overruns and delays caused by the propagation of consistency and compliance errors within engineering studies.
Alouette tackles this issue with an AI platform designed as the "Cursor" for engineering: it builds an industrial model from documentation, integrates changes and their impacts, and continuously verifies consistency and compliance. Alouette eliminates errors—and, more importantly, their propagation—while freeing up engineers to focus on high-value tasks. By executing tasks autonomously with 100% quality, the platform transforms the management of large-scale programs, improving both execution and confidence.
The business model is based on direct, multi-year contracts negotiated at the level of major defense, energy, and aerospace programs, offered via per-user licenses or multi-year program-wide packages. Alouette is deployed within the client's infrastructure, including isolated edge AI versions, and grows through a domino effect: starting with systems engineering teams, moving to programs, and eventually scaling to the corporate level.
The next step
Alouette has successfully completed its first deployments with major defense and energy industry players, resulting in renewed orders, clear product-market fit, and solid partnerships. Two main tasks remain to capitalize on this momentum: securing funding to scale operations with these initial industrial clients and structuring the organization with new teams and leadership.
Meet the co-founders
Bruno Gérard CEO
Antoine Vidon CTPO
#DeepTech #AI #Engineering #Industry #Sovereignty
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