Lightsage Raises $4 Million to Target Software’s New Gatekeepers—AI Agents
Lightsage, a San Francisco-based artificial intelligence startup, said on September 8 that it has raised $4 million to help software companies understand how AI agents discover, evaluate and use their products.Nexus Venture Partners led the seed round. Other investors include former Salesforce Chief
On September 8, Lightsage, an artificial intelligence startup based in San Francisco, announced the successful raising of $4 million in seed funding. The primary investor in this round was Nexus Venture Partners, with additional support from Steven Tamm, former Salesforce Chief Technology Officer; Abhinav Asthana, CEO of Postman; Matt Curl, CEO of Apollo; and Robert Chatwani, President and General Manager of Growth at DocuSign, among other notable investors from AI and developer-tool companies.
The funds will be allocated towards helping software companies understand the intricacies of AI agents in discovering, evaluating, and utilizing their products.
The company's innovative approach, dubbed "Agent-Led Growth," is poised to play a significant role in software adoption. Traditionally, software companies have measured customer acquisition through conventional metrics such as website visits, search queries, product demonstrations, and sign-ups. However, with the advent of coding agents like Claude Code, Codex, Cursor, and GitHub Copilot, software selection is now being influenced by these AI agents.
These agents can identify products, read documentation, install software development kits, and connect to application programming interfaces, bypassing traditional paths to adoption.
Lightsage's platform is designed to facilitate this new landscape. It conducts simulations where coding agents carry out practical tasks using various software components such as APIs, SDKs, command-line tools, Model Context Protocol servers, and agent skills. Should a task fail, the platform identifies potential culprits, including unclear documentation, authentication issues, faulty endpoints, or incompatible development tools.
Companies can then rectify the problem, rerun the task, and assess whether performance has improved.
According to Jun Liang Lee, co-founder and CEO of Lightsage, the shift is from an era where AI directs users to software choices to one where AI increasingly relies on the software itself. While visibility remains crucial, the true test lies in an agent's ability to comprehend a product and achieve a successful outcome.
In addition to evaluating software performance, Lightsage also examines agent-generated traffic to websites and technical documentation. This includes tracking what agents access, where they encounter problems, and whether their actions lead to successful product use—behaviors that may not be captured by standard marketing analytics.
An agent might efficiently locate, compare, and operate a product without generating the typical sequence of searches, advertisements, clicks, and sign-ups. Moreover, agents' approaches can evolve as underlying models, interfaces, and development environments undergo updates, necessitating repeated testing of essential workflows.
The company's concept of "Agent Experience" refers to the ease with which AI agents can understand and operate a product. As software providers increasingly recognize the importance of this metric, it may soon rival the significance of developer experience in the adoption of APIs and development platforms. Currently, Lightsage's platform supports AI agents such as Claude Code, Codex, Cursor, GitHub Copilot, and OpenCode. Notable early customers include Firecrawl, Reducto, Daytona, Rime, and Tinyfish.
A typical evaluation process with Lightsage involves replicating comparable tasks to determine why an agent may recommend one product over another. The platform assesses factors such as discoverability, documentation, and the inherent quality of the product. Abhishek Sharma, a partner at Nexus Venture Partners, highlighted the emergence of AI agents discovering, evaluating, and acting on behalf of users.
He added that Lightsage is constructing the infrastructure necessary for software companies to enhance agent conversion and visibility. The company plans to utilize the funding to bolster its evaluation, analytics, attribution, and optimization capabilities, as well as to expand its team across technical and commercial roles. Currently, Lightsage focuses on developer software, with aspirations to broaden its reach into business applications, digital infrastructure, e-commerce, and payments as AI agents assume more transactions and operational responsibilities.
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