Milestone, a company that builds a platform to help businesses track how well their teams are using AI coding tools and how much impact these tools create, has announced a new funding round.
The company has raised $10 million in Seed funding. The round was led by Heavybit and Hanaco Ventures, with support from Atlassian Ventures and several well-known angel investors. These include John Donovan (former CEO of AT&T), Tom Preston-Werner (co-founder of GitHub), Paul Daugherty (former CTO of Accenture), and Amit Agrawal (former president of Datadog).
Milestone has built a platform that works with many AI coding tools used by companies, like GitHub Copilot, Claude Code, Windsurf, and Cursor. It connects to the entire software development process to understand how these tools are being used.
The platform then compares this usage with important metrics such as code quality, how fast developers work, and how easy the code will be to maintain in the future. This helps team leaders clearly see how AI tools are influencing real development performance.
The company said it is already working with many clients, including Sapiens, monday.com, Kayak, Cross River Bank, HiBob, Varonis, and Blackhawk Network.
Milestone was founded by CEO Liad Elidan and CTO Prof. Stephen Barrett. They first met at Trinity College Dublin, where they started working together on research about how to measure software development efficiency.
The company currently has about 25 employees in Israel and the U.S. It also plans to grow its development and product teams in the next few months.
“Generative AI is rewriting how software is built, but most companies are still guessing at the results,” said Liad Elidan, co-founder and CEO of Milestone. “Milestone closes that gap by quantifying what’s actually happening inside engineering organizations so they can turn AI adoption into measurable performance. When teams can finally see how AI affects their work, they trust it more, and that trust drives broader adoption across the company. That’s how you create a real AI culture, not just AI experimentation. An AI culture means every developer, team, and manager understands the value of AI in their workflow, speaks the same language of metrics, and uses data to continuously improve how they build software.”
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