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AGENYRA

Product

A distribution system for AI software.

AGENYRA is designed as six stages. Each one turns something loose, like a product website or a person’s problem, into something the next stage can act on.

Here is the model, and where each stage actually stands.

01The model

Six stages, one direction of flow.

Products enter at the top. Measurement at the bottom feeds back into the stages above it.

  1. 01Building

    Discover

    Find AI products worth representing. Today, builders submit them. Later, the system also finds them.

    ProducesA candidate product

  2. 02Building

    Understand

    Work out what the product actually does: the task, its inputs and outputs, where it runs, what it costs, and which claims are verified.

    ProducesA structured profile

  3. 03Building

    Classify

    Place the product in a shared taxonomy of tasks and product types, so it can be compared with real alternatives.

    ProducesA position in the taxonomy

  4. 04Experimental

    Match

    Connect a need to the products that fit it. Today that means search over structured data. Matching on described intent is an experiment.

    ProducesA relevant set of products

  5. 05Exploring

    Distribute

    Put matched products in front of people where the need comes up: profiles, placements in other surfaces, endpoints agents can read.

    ProducesPlacements

  6. 06Exploring

    Measure

    Record what happens after discovery: what was viewed, tried, adopted or skipped. Those signals feed back into understanding and matching.

    ProducesSignals

Measure feeds back into Understand and Match

02What exists

What exists today.

A private build covers the first three stages and part of the fourth. It is not public, and there are no open signups. That is what the waitlist is for.

  • A catalog schema with structured product profiles, pricing and claim provenance.
  • Search across listings, including full-text and fuzzy matching, and side-by-side comparison.
  • Builder onboarding, organization accounts and a listing review workflow.

03Boundaries

What AGENYRA is not.

Not a directory
A directory lists products and leaves the matching to you. AGENYRA is meant to match, place and measure.
Not a chatbot
Conversation may become one way in. Underneath, the system is structured product data and matching.
Not another AI wrapper
It does not resell a model. It connects people to products that other teams built.
Not just a marketplace
A marketplace is one surface. Distribution has to reach past a single website, into other tools and agents.

Get in early.

AGENYRA is being built from the ground up. Join the early network and help shape what it becomes.

Join the waitlist