Scope

We make your product discoverable and usable by any AI agent

Spring 2026ActiveB2BGenerative AIB2BAISan Francisco, CA, USA

Company

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.

Note: This is a preliminary assessment based on limited publicly available information. We did not have access to LinkedIn profiles or live product screenshots for this analysis. We will update this entry with a more thorough review soon.

Verdict

Medium Signal

Market Opportunity

The ICP is reasonably specific — APIs, infra products, CLIs, MCP servers — and the underlying trend (AI agents increasingly mediating product discovery and usage) is real and growing. B2B positioning with a clear pain point for developer-tool companies. TAM is hard to size precisely given the nascency of the space, but could grow significantly as agentic workflows become standard.

Medium Signal

Founder Signal

Anand-Arnaud Pajaniradjane has relevant background — interpretability research at Princeton and ML engineering in GEO/AEO — which is genuinely on-point for this problem. However, LinkedIn is unavailable, so depth of experience (years, titles, companies) cannot be verified. No co-founders listed, making this a solo founder situation, which adds execution risk even if the technical background is credible.

Medium Signal

Competition

No competitor data was surfaced, which could mean first-mover advantage or that the space is too nascent to have defined players. Adjacent competitors could include observability/monitoring tools (Datadog, Langfuse, Helicone), SEO analytics tools adapting to AI search, and any AEO (Answer Engine Optimization) tooling startups. The specific angle of agent-workflow simulation and competitive benchmarking is differentiated but easy to replicate.

Low Signal

Product

No named customer logos, no pricing page, no demo, no revenue metrics, no testimonials. The website tryscope.app and description suggest an early-stage product concept. The description explains what they plan to do but provides no evidence of a live product with paying customers.

OverallC Tier

Scope is attacking a genuinely interesting and forward-looking problem — companies have almost no visibility into how AI agents discover and interact with their products — and the founder's background in interpretability and GEO/AEO is directly relevant. However, this is a solo founder with unverifiable LinkedIn data, zero press coverage, no visible traction, and no product evidence beyond a landing page description. The market thesis is compelling but extremely early, and the core 'run workflows across agents and show breakpoints' product is in a space where big players (Datadog, even Anthropic/OpenAI themselves) could easily expand into. Needs a co-founder, paying customers, and visible product to be investable at higher confidence.

Active Founders

Anand-Arnaud Pajaniradjane

Founder

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.

Scope

TierC Tier

BatchSpring 2026

Team Size1

StatusActive

LocationSan Francisco, CA, USA

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