"GenAI has become a key part of coding workflows, but most companies struggle to track its use, let alone its return on investment. Israeli startup Milestone hopes to help with a platform designed to correlate AI tool usage with engineering metrics, including code quality. The catch is that these companies have to give Milestone access to their codebases, a bet that investors initially questioned, CEO and co-founder Liad Elidan told TechCrunch."
"In an unusual arrangement, Elidan and Milestone's CTO had gone years without meeting in person by the time they started fundraising. Unlike most of Milestone's Israel-based team members, Professor Stephen Barrett lives in Ireland and teaches computer science at Trinity College Dublin, where Elidan was once his student and they two bonded through software projects. Despite the distance, the duo kept in touch over the years and eventually decided to found a startup focused on engineering efficiency."
Milestone offers a platform that links generative AI tool usage to engineering metrics such as code quality and feature delivery speed. The platform ingests four data pillars—codebases, project management platforms, team structure, and codegen tools—to form a genAI data lake that maps AI activity to outcomes. Customers including Kayak, Monday, and Sapiens use the service. Milestone raised a $10 million seed round led by Heavybit and Hanaco Ventures. The offering requires access to customer codebases, enabling managers to measure AI-driven productivity changes and to trace whether bugs originated from AI-generated code.
Read at TechCrunch
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