A single API into the institutional web. Authenticated sources, normalised result metadata, built for agents.
Regulations change across jurisdictions. Standards bodies update without warning. An AI agent working from stale or incomplete sources is not just unhelpful — it is a liability.
Generic search surfaces what's popular, not what's authoritative. There is no concept of source federation, filter normalisation, or authenticated institutional access.
For high-stakes decisions — regulatory, scientific, legal, technical — your agents need more than plausible.
Authenticated, specialist source access that no crawler reaches and no keyword search returns — plus the tooling to build and maintain your own proprietary connector libraries.
Organisations using DEEP⌟ accumulate a retrieval capability that compounds over time. That is a strategic asset, not a commodity service.
Access to institutional, regulatory, and specialist sources that no crawler reaches and no keyword SERP returns.
A maintained connector library, extensible with your own proprietary sources. Build once. Maintain centrally.
Normalised result metadata — source, title, abstract, filters — structured for agent iteration. Not scraped page content.
Every agent you build without shared retrieval infrastructure increases the cost of the next one.
Connector code gets written, breaks, gets rewritten, and never gets shared. At low agent counts this is an inconvenience. At scale it becomes a structural bottleneck.
Organisations using DEEP⌟ accumulate a retrieval capability that compounds over time — a strategic data asset, not a commodity service.
An open connector standard — each connector encodes what a source is, how to query it, and what filters it supports. A normalised result format built for agent iteration. A platform layer for managing permissions, private connector libraries, and governed source access.
This is infrastructure, not an application. It sits beneath whatever your agents are built on.
We are working with a small group of design partners now. If you are building AI workflows and the retrieval problem sounds familiar, we would welcome a conversation.