The infra layer for AI agent experience.
Companies can’t see or optimize how AI agents discover, choose, set up, and use their products, leading to lost adoption and unclear failures versus competitors.
Scope runs real agent workflows to measure agent interactions with a product, identify breakpoints and confusion, compare against competitors, and recommend changes to improve agent experience.
Product, growth, and engineering teams at software companies whose products are being used or selected through AI agents.
Anand is the founder of Scope, which helps companies understand and improve how AI agents discover, choose, and use their product. Before Scope, he did interpretability research on closed-source models at Princeton and later worked as an ML engineer in GEO/AEO. He started Scope after seeing that model behavior was becoming commercially important, while companies still had almost no visibility into how those systems were influencing product discovery and usability.




