Span Raises $25 Million to Expand AI-Powered Developer Intelligence Platform

Span, a San Francisco-based developer intelligence platform that uses artificial intelligence to unify signals across code repositories, tickets, incidents, and development tools, has raised $25 million in Seed and Series A funding to expand its engineering insight tools and support teams navigating AI-augmented development. The financing brings fresh capital as demand grows for software that helps engineering organizations measure productivity, understand workflows, and automate manual tasks.

The funding round was led by Alt Capital, a venture firm focused on early-stage technology companies, and included participation from established backers such as Craft Ventures,SV Angel, BoxGroup, and Bling Capital. In addition to these institutional investors, the round attracted contributions from more than 100 founders, CTOs, and operators from leading technology companies, reflecting strong conviction from practitioners closely familiar with the development challenges Span aims to address.

Span’s platform unifies critical data from engineering toolchains to provide teams with a holistic view of productivity and work impact. By combining quantitative metrics with behavioral context, the platform helps organizations understand where time is being spent and how AI tools are influencing code quality, velocity, and development outcomes. Span also applies artificial intelligence to automate repetitive tasks such as generating updates, attributing research and development activities for tax credit reporting, and surfacing answers from distributed technical data sources.

Founded to help engineering leaders cut through operational noise, Span focuses on delivering clear visibility into how teams build software and where improvements can be made. The platform has been adopted by engineering teams at companies including Ramp, Vanta, Carvana, Intercom, Braze, Writer, URBN, and ClassPass, reflecting demand from both high-growth startups and established enterprises seeking better insight into engineering performance.

The $25 million in funding will be used to accelerate product development and deepen Span’s ability to measure the real impact and return on investment of AI-assisted coding. The company plans to expand its core platform so engineering leaders can answer complex operational questions in seconds rather than days. A recent product advancement includes the launch of span-detect-1, a proprietary model designed to identify AI-generated code at the chunk level and track its evolution throughout the software development lifecycle, offering organizations verified insight into how AI affects their codebases.

Span’s leadership, led by CEO J. Zac Stein, has emphasized that the new capital will support both operational scaling and continued innovation. The company views developer intelligence as increasingly critical as organizations adopt AI-powered coding tools and navigate changes in how software is built, reviewed, and maintained.

Beyond metrics and reporting, Span’s platform addresses the growing need to unify fragmented engineering signals — from code commits to incident data — into a single system of record. This unified view enables better prioritization, clearer communication across teams, and more informed decision-making at the leadership level, particularly in distributed and fast-growing engineering organizations.

Investors backing Span have highlighted the company’s potential to become a foundational layer for modern engineering operations. The combination of institutional venture capital support and participation from hundreds of experienced operators underscores confidence in Span’s approach to developer intelligence and its relevance in an era of rapid AI adoption.

With its latest funding secured, Span is positioned to broaden its enterprise footprint, enhance its AI-driven analytics, and continue refining automation features that help engineering teams operate more effectively. As software development becomes more complex and AI-driven, Span aims to provide the clarity and context organizations need to build efficiently and sustainably.