Singaporean founders’ Lightsage bags US$4M to decode how AI agents choose software
The next customer for a software company may not be a person scrolling through a pricing page. It may be an AI coding agent, asked by a developer to choose a database, install an SDK, connect an API, or fix a broken integration. That shift is still early, but it is already changing how software […] The post Singaporean founders’ Lightsage bags US$4M to decode how AI agents choose software…
Lightsage, a San Francisco-based startup co-founded by Singaporean entrepreneurs Jun Liang Lee and Sean Er, has secured US$4 million in funding to develop an Agent-Led Growth platform. The company aims to build the analytics layer for a new paradigm in software discovery and adoption, where AI coding agents may choose software products, install SDKs, connect APIs, or fix integrations.
As tools like Claude Code, Codex, Cursor, GitHub Copilot, and OpenCode become more prevalent, traditional software sales funnels are evolving. Lightsage seeks to address an analytics gap in this emerging landscape by simulating AI agents' interactions with software products, identifying potential issues in documentation, SDKs, authentication flows, and API examples.
Early adopters include Firecrawl, Reducto, Daytona, Rime, and Tinyfish, all of whom utilize Lightsage to better understand why agents recommend specific products and whether product changes can improve outcomes.
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