Span, a San Francisco-based AI native developer intelligence platform, has secured $25 million in Seed and Series A financing from Alt Capital, Craft Ventures, SV Angel, BoxGroup, and Bling Capital. The investment includes participation from more than 100 founders, CTOs, and operators from companies such as Slack, Notion, Rippling, and Square, reflecting strong validation from industry leaders who have experienced the engineering challenges Span aims to resolve.
The company was founded to address a long-standing issue in growing engineering organizations: maintaining critical context becomes increasingly challenging. As teams expand, leaders struggle to determine how developers allocate their time and whether they prioritize initiatives that matter most to the business. These challenges have intensified as AI transforms software development. Although code is being produced at unprecedented speed, many leaders lack visibility into the actual impact of AI on development velocity, workflows, and code quality.
Span’s platform unifies signals across code repositories, tickets, incidents, and development tools to give teams a cohesive understanding of how work moves through the development lifecycle. By combining metrics, surveys, and behavioral insights, Span provides a comprehensive picture of productivity and team health. Its AI systems operate effectively with imperfect or fragmented data to reveal where time and effort are actually being spent. In addition to visibility, the technology automates burdensome tasks such as writing updates, completing R&D tax credit attribution, and retrieving information.
Engineering teams at Ramp, Vanta, Carvana, Intercom, Braze, Writer, URBN, and ClassPass are already using Span to guide AI transformation efforts and maintain agility as they scale.
In September 2025, Span introduced span-detect-1, a proprietary detection model that measures the adoption and actual impact of AI-assisted coding across all AI tools. The model identifies AI-generated code at the chunk level and tracks it through the development lifecycle, providing verified measurements rather than relying on vendor telemetry or surveys.
With this new funding, Span plans to expand further its capabilities, especially tools that measure the ROI of AI-augmented development. The company aims to build toward a future where leaders can access continuous, always-available context on engineering teams and codebases, answering complex questions in seconds rather than days.
KEY QUOTE:
“AI has rewritten how software gets built, but leaders still lack the tools to understand what’s happening with clarity and evidence. We built Span to give teams that missing layer of understanding, and to give them back the time they spend manually maintaining it.”
J Zac Stein, Co-Founder And CEO, Span
