Span Secures $25 Million to Advance AI-Native Developer Intelligence

San Francisco-based startup Span has successfully raised $25 million in combined Seed and Series A funding to further develop its "developer intelligence" platform, designed for the era of AI-generated code. The funding round saw participation from prominent investors including Alt Capital, Craft Ventures, SV Angel, BoxGroup, and Bling Capital, alongside contributions from over 100 tech executives, founders, and CTOs. This capital infusion is intended to deepen Span's capabilities in measuring the impact and return on investment of AI-augmented development.

Span, co-founded by J Zac Stein, former head of product at Lattice, and Henry Liu, aims to provide engineering leaders with clarity on how their teams operate, especially amidst the increasing use of AI in software development. "AI has rewritten how software gets built, but leaders still lack the tools to understand what's happening with clarity and evidence," stated J Zac Stein, Span's CEO. The platform unifies signals across various engineering tools like code repositories, ticketing systems, and incidents to offer a holistic view of productivity and team health.

A key feature of Span's offering is its proprietary model, 'span-detect-1', launched in September 2025. This model detects AI-generated code at a granular level and tracks its journey through the development lifecycle, providing verified measurements of AI's actual impact on code adoption and quality. This capability helps companies like Braze, Intercom, Ramp, Vanta, and Writer to monitor their engineering efforts and understand the value derived from AI coding tools. The company's software also helps automate time-consuming manual tasks, such as writing updates and attributing R&D for tax credits.

The funding round underscores a growing demand for tools that can bring transparency to the complex landscape of modern software development, particularly as AI integrates more deeply into coding workflows. Span's approach addresses the challenge faced by engineering leaders in gaining ground truth from disparate data sources, offering a centralized dashboard for insights into resource allocation and the efficiency of AI tools. The company plans to use the new funds to accelerate product development, expand its team, and enhance its platform to provide continuous, always-on context for engineering organizations.