Channel3 is Building a Database of Every Product on the Internet

Channel3, building a database of every product on the internet, led by Alexander Schiff, George Lawrence, Evan Fenster, and Ignacio Valdez, has secured a $6M seed round led by Matrix, joined by Y Combinator and Ludlow Ventures.

Last year, the team at Studio was building an AI teacher with personalized curriculums and needed reliable product recommendations. Existing APIs provided only articles or outdated listings, and indexing the entire product web was clearly a full company, not a feature. That realization led to the creation of Channel3.

Channel3 is building a universal, AI-ready product graph, a connected database of every product on the internet. The platform provides developers with a simple API to locate any product online and earn commissions on resulting sales, while enabling brands to capture incremental revenue from a new distribution channel.

Shoppers increasingly ask AI assistants to “find a durable commuter backpack” or “style my bedroom.” These experiences only function when the AI has a clear view of the product landscape: the available items, the sellers behind them, their variants, pricing, stock levels across merchants, and the appropriate destination for purchase. Channel3 enables AI agents to locate any product online and generate commission when their recommendations lead to sales.

Developers gain:

• An API to locate any product on the internet.

• Real-time data that remains up to date as catalogs evolve.

• Built-in monetization through affiliate channels, enabling commission on sales.

Brands gain:

• Distribution across AI shopping platforms without additional integration.

• Insights into search trends and purchase behavior.

• Control over presentation on AI-driven shopping surfaces.

Product data remains messy, incomplete, and scattered across the internet. Multimodal AI models have reached a level of intelligence and affordability that enables large-scale organization and interpretation of this information. Simultaneously, AI-native shopping is emerging as a third distribution channel alongside physical stores and e-commerce, creating a shared need for a neutral product graph accessible to any AI app or agent.

Channel3’s catalog already encompasses over 50 million products from tens of thousands of brands, with rapid growth underway. The platform uses multimodal AI to read product pages, identify duplicates across merchants, link variants such as color or size, and extract rich attributes, enabling agents to reason about products as a person would. Hundreds of developers leverage the API to power stylists, interior design tools, gifting agents, and shopping assistants. Most products in the catalog are automatically monetizable through partnerships with major affiliate networks.

Next steps

• Establish the authoritative source of product data on the web

• Enable the creation of agentic shopping experiences

• Help brands capture sales through this emerging channel