Span is a San Francisco startup tackling a question that has become pressing as AI coding tools proliferate: are they actually making engineers more productive, and where is the time really going? Its 'developer intelligence' platform instruments engineering workflows to reveal how teams spend their time and which AI code editors they use, giving leaders an objective view rather than anecdote.
The company's AI impact tracker, launched in September 2025, lets organizations quantify the value they are getting from popular AI coding assistants. As companies pour budget into seats for Cursor, GitHub Copilot, and similar tools, Span answers the board-level question of return on investment — surfacing whether AI is accelerating delivery, where adoption is strongest, and which teams are benefiting most.
Span's customer roster reflects the appetite for this kind of visibility. Ramp and Vanta use it to track how engineers spend their time and which AI editors they reach for, while Braze and Intercom rely on it to measure the value extracted from AI coding tools. The product sits at the intersection of engineering analytics and the rapidly evolving AI-assisted development stack.
The company was founded by Stein, the former chief product officer of Lattice, and Liu, who previously co-founded a startup acquired by Compass. That operator pedigree runs deep through the team: many of Span's roughly 26 employees are themselves former founders and CTOs, giving the company an unusually senior perspective on engineering leadership pain points.
Span has raised $25 million across seed and Series A rounds from a notable group of backers including Alt Capital, Craft Ventures, SV Angel, BoxGroup, and Bling Capital, plus more than 100 technology executives from companies like Notion and Rippling. The funding positions Span to expand its developer-intelligence platform as measuring AI's impact on engineering becomes a permanent line item for software organizations.