Milestone Secures $10 Million in Seed Funding to Enhance AI Adoption Measurement
The platform quantifies the influence of AI coding instruments on developer productivity, code quality, and return on investment (ROI), assisting organizations in establishing a quantifiable AI culture. Notable clients include Sapiens, Monday.com, and Kayak.
TEL AVIV, Israel, Nov. 13, 2025 /PRNewswire/ — Milestone, a premier enterprise solution designed to assess the adoption and efficacy of AI coding tools, has successfully raised $10 million in Seed funding.
This round was spearheaded by Heavybit and Hanaco Ventures, with contributions from Atlassian Ventures and a cadre of prominent angel investors, including John Donovan, former CEO of AT&T, GitHub co-founder Tom Preston-Werner, former Accenture CTO Paul Daugherty, and Amit Agrawal, ex-president of Datadog.
According to Stack Overflow’s 2025 developer survey, a remarkable 84% of developers are integrating AI tools into their workflows, while 51% employ these tools daily. Sundar Pichai recently revealed that AI is responsible for generating over 30% of Google’s code.
Despite this impressive data, enterprises are confronted with a significant challenge: the absence of precise, data-driven insights regarding the utilization and ROI of these technologies.
“Generative AI is transforming the landscape of software development, yet most companies are navigating in the dark,” stated Liad Elidan, co-founder and CEO of Milestone.
Milestone bridges this gap by quantifying the actual activities within engineering organizations, enabling them to translate AI adoption into tangible performance metrics.
When teams are afforded visibility into AI’s impact on their tasks, trust in these tools grows, catalyzing broader adoption throughout the organization.
This is the essence of establishing a genuine AI culture, transcending mere experimentation. An AI culture ensures that every developer, team, and manager appreciates AI’s value in their processes, speaks a unified language of metrics, and leverages data for continuous improvement in software development.
Milestone enables enhanced visibility and analytics regarding AI adoption by interfacing with an organization’s entire software development ecosystem—from source control and project management utilities to HR systems and AI coding assistants.
This holistic integration empowers the platform to automatically monitor AI tool utilization while correlating it with essential engineering metrics such as code quality, feature delivery rates, and long-term maintainability.
Milestone equips engineering leaders to discern precisely how AI incorporation influences team productivity, empowering them to make informed decisions about their AI investments.
In partnership with GitHub, Augment Code, Qodo, Continue, and Atlassian, Milestone seamlessly integrates with leading AI coding platforms, including Cursor, Windsurf, and Claude Code.
This collaboration provides engineering leaders with a consolidated overview of AI tool usage throughout their development processes.
“At GitHub, we’re committed to equipping teams with the appropriate platform, tools, and insights to succeed,” remarked Kyle Daigle, COO of GitHub. Empowering developers through AI is vital; however, comprehending the impact of these tools is equally crucial.
Our collaboration with Milestone enhances our visibility into how AI-driven engineering methodologies scale in real-world contexts—ultimately translating into measurable value. Together, we are not merely innovating; we are redefining the parameters of engineering success.
Milestone’s extensive analysis, encompassing thousands of engineers within major corporations, indicates that AI does not displace developers; rather, it augments their capabilities.
The evidence suggests that contextual awareness is the pivotal differentiator: when autonomous agents are linked to enriched project and architectural information, developer throughput can increase by as much as 270%, while code accuracy may improve by up to 60%.
These findings underscore the importance of measuring and enhancing the context surrounding AI utilization to foster a mature AI culture.
“We are entering an era wherein both humans and agents co-create code,” stated Prof. Stephen Barrett, co-founder and CTO of Milestone.
“The rapid pace of AI innovation is invigorating, yet it poses challenges for engineering organizations striving to keep up with the plethora of advancements in algorithms, models, and tools.
Milestone equips leaders with a transparent view of how their teams are leveraging AI, ensuring they consistently produce optimal code at exceptional speeds, regardless of market fluctuations or evolving AI tools.”
The partnership between Elidan and Barrett originated during their time at Trinity College Dublin, where Barrett taught computer science and investigated software engineering metrics.
What began as a professor-student relationship evolved into years of collaborative research on engineering productivity measurement, paving the way for Milestone’s GenAI analysis engine.
“The emergence of Continuous AI is reshaping software development practices. The most proficient engineering teams understand that maximizing developer productivity hinges on profound visibility into their complete engineering data stack,” said Joseph Ruscio, Partner at Heavybit.
“Milestone has established secure, enterprise-grade integrations across the entire engineering toolchain. This foundation uniquely positions them to assist engineering leaders in maximizing AI’s impact on their development teams.”
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