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Our Thesis

The next distribution layer will be defined by what agents can find, trust, and choose

Every major computing era created a new distribution layer. In the agent era, products and services are no longer just destinations for humans to navigate. Products and services are becoming capabilities for agents, and the winners will be the ones agents can find, trust, and choose.

Discovery is being rewritten inside AI clients, registries, and workflows, where models decide what to surface and what to use on a user's behalf. The winners will not just have strong products. They will be the ones that are legible to agents at the moment of intent.

That is what Agent Discovery Optimisation is about: making your product legible to agents at the moment they decide what to surface and what to use. In this layer, distribution goes to the products and services that models can understand, trust, and choose on a user's behalf.

How we work with teams

We sell an outcome: get you discovered by agents.

We help teams turn products and services into capabilities that agents can actually use. That means deciding what should be callable, how it should be described, and what has to be built so agents can find it, understand it, and trust it in live workflows.

From there, we bring the platform, technology, and forward-deployed engineers to improve how often you are surfaced and selected. It is a focused partnership for teams that want to win the moment an agent decides what to use.

Platform

We bring the discovery platform, testing system, and measurement layer so you can see whether agents can find, surface, and select you.

Technology

We build the MCP infrastructure, agent-facing apps, schemas, descriptions, and workflows that make your product usable inside agent loops.

Forward-deployed engineers

We work closely with your team to ship fast, close the gap between strategy and execution, and keep improving how often agents choose you.