Milestone Raises $10M to Quantify AI Impact in Software Development

Nov 18, 2025
Tel Aviv-based Milestone has secured $10 million in seed funding to expand its platform that measures how AI coding tools affect developer productivity, code quality, and ROI. The round was led by Heavybit and Hanaco Ventures, with participation from Atlassian Ventures and several notable angel investors.

Tel Aviv-based Milestone has raised $10 million in seed funding to expand its enterprise platform that measures the adoption and impact of AI coding tools, announced in a press release. The funding round was led by Heavybit and Hanaco Ventures, with participation from Atlassian Ventures and angel investors including John Donovan, Tom Preston-Werner, Paul Daugherty, and Amit Agrawal.

Milestone’s platform connects to an organization’s full software development stack — including source control, project management, HR systems, and AI coding assistants — to track AI tool usage and correlate it with metrics such as code quality, delivery speed, and maintainability. The company’s customers include Sapiens, Monday.com, and Kayak.

The platform integrates with AI coding solutions like Cursor, Windsurf, and Claude Code, and partners with GitHub, Augment Code, Qodo, Continue, and Atlassian. GitHub COO Kyle Daigle said the collaboration provides visibility into how AI-driven engineering practices scale across teams.

Milestone’s data from enterprise clients indicates that when AI coding agents have access to richer project context, developer throughput can increase by up to 270% and code accuracy by up to 60%. The founders, Liad Elidan and Stephen Barrett, built the company on years of research into engineering productivity metrics, aiming to provide leaders with clear insights into how AI affects software development performance.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like AI Funding Brief, AI Programming Weekly or Daily AI Brief.

Also, consider following us on social media:

AI Funding News AI Brief AI Brief (X)
Free newsletter

AI Funding Brief

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.