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The company, a scale-up in DeepTech headquartered in United States, needed to solve this challenge: “computer vision platform for industrial inspection”. There was no systematic way to measure each squad developer's performance or the technical health of the project day to day, and risks were only detected once they had already impacted delivery. All of this was happening under time pressure, with a market deadline that left no room for error.

Squad Master AI became operational within 24h and, on a recurring monthly basis, gave leadership a daily, objective read on code quality, project progress, and each squad member's performance.
No new profiles were added to the team: the focus was on providing support and visibility, on a stack of Python (Django), React, PostgreSQL, MongoDB, GitHub, AWS. The company already had its own technical team; Squad Master AI connected to its repositories and management tools without altering its way of working, adding a layer of objective visibility for leadership. From the first weeks, leadership had dashboards for code quality, progress, and risk ready for review, continuously updated.
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