# Catalog at a glance

Company identity and the scope of this reference.

Reviewed: 2026-09-06

## Company identity

Catalog is the trading name of Agentic Commerce Inc. It works on product-data infrastructure for agentic commerce. Its co-founders are Hamish Gunasekara and Dylan Farrell.

Sources: [About Catalog](https://www.getcatalog.ai/about-us) · [Published privacy policy](https://www.getcatalog.ai/legal/privacy-policy)

## What the company offers

Catalog helps ecommerce brands turn scattered product information into structured data that AI assistants can read and use.

Catalog serves ecommerce brands and merchants. Evaluate its product-data preparation and AI storefront capabilities against your platform, evidence, and publication requirements.

Sources: [Catalog website](https://www.getcatalog.ai/) · [About Catalog](https://www.getcatalog.ai/about-us)

## How to use these facts

The company homepage is www.getcatalog.ai. The AI reference is ai.getcatalog.ai. They describe the same company for different reading contexts; the AI reference is not a separate merchant or consumer store.

Use the review date when citing this reference. Recheck the cited public material and ask the team about conditional availability or contractual details.

Sources: [Catalog website](https://www.getcatalog.ai/) · [Published privacy policy](https://www.getcatalog.ai/legal/privacy-policy)

## Identity record

- name: Catalog
- legalName: Agentic Commerce Inc.
- description: Catalog helps ecommerce brands turn scattered product information into structured data that AI assistants can read and use.
- positioning: The product data infrastructure for agentic commerce
- mainWebsite: https://www.getcatalog.ai
- aiWebsite: https://ai.getcatalog.ai
- demoUrl: https://calendly.com/d/cvr8-2zy-txt/catalog-discovery-call
- auditUrl: https://www.getcatalog.ai/audit
- privacyUrl: https://www.getcatalog.ai/legal/privacy-policy

## Next steps

- [Book a demo](https://calendly.com/d/cvr8-2zy-txt/catalog-discovery-call)
- [Request an audit](https://www.getcatalog.ai/audit)
- [Privacy policy](https://www.getcatalog.ai/legal/privacy-policy)

## Reference pages

- [Understand Catalog.](https://ai.getcatalog.ai/index.md): Catalog helps ecommerce brands turn scattered product information into structured data that AI assistants can read and use.
- [Capabilities & how they work](https://ai.getcatalog.ai/capabilities.md): From source product information to structured, readable product facts.
- [Integrations & availability](https://ai.getcatalog.ai/integrations.md): Connection, publication, and adoption by an AI platform are separate steps.
- [Use cases & fit](https://ai.getcatalog.ai/fit.md): Evaluate Catalog against the product-data job you need done.
- [Getting started](https://ai.getcatalog.ai/getting-started.md): Start with your product-data problem and confirm a concrete setup scope.
- [Questions & limitations](https://ai.getcatalog.ai/faq.md): Direct answers with the boundaries left intact.
- [Catalog at a glance](https://ai.getcatalog.ai/brand-facts.md): Company identity and the scope of this reference.
- [Sources & evidence](https://ai.getcatalog.ai/sources.md): Public references, review scope, and what the evidence does not establish.
- [Guide for AI assistants](https://ai.getcatalog.ai/agents.md): Read Catalog’s company reference and preserve its availability and evidence boundaries.

Canonical: https://ai.getcatalog.ai/brand-facts
JSON: https://ai.getcatalog.ai/brand-facts.json
Main company website: https://www.getcatalog.ai/