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Scope

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We make your product discoverable and usable by any AI agent

Spring 2026Founded 20251 peopleSan Francisco, CA, USA
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AI insightcan contain mistakes
AI Agent DiscoverabilitySaaSSoftware and tool companiesLow competition
Moat
Only platform measuring agent-product interaction; proprietary testing workflows across Claude Code, Cursor, Codex.
Key risk
Agent APIs and behaviors change rapidly; limited TAM until agent adoption becomes universal.
Why now
AI agents now critical decision-makers in developer tool selection; first-mover in quantifying agent UX.
Competitors
Emerging space

About

Scope helps companies understand and improve how AI agents discover and use their product. As more products gets used through AI agents like Claude Code, Codex, Cursor, and similar agents, agents are starting to influence which tools get chosen, how they get set up, and whether they keep getting used. Most companies still cannot see that process clearly. We run real workflows across agents and show teams when the agent picks them versus a competitor, where it breaks, where docs or product surfaces confuse the agent, and what to change to get better results and a better agent experience. I started Scope after working on interpretability research for closed-source models at Princeton and later as an ML engineer in GEO/AEO. I kept seeing the same pattern: these systems were shaping real product discovery and usage, but companies had very little visibility into what the model was actually doing. We are starting with products that agents can directly interact with, especially APIs, infra products, CLIs, and MCP servers.

Founders · 1

Anand-Arnaud Pajaniradjane
Anand-Arnaud PajaniradjaneFounder
Princeton

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.

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