Shopping now starts with a question not a category page.
Shopping no longer starts with a search bar. It starts with a question. People describe what they want, and AI finds, compares, and recommends options in real time. The storefront is no longer a homepage. It's a conversation.
Most product data wasn't built for this.
Most product data was built for webpages — not for systems that need precise attributes, clean variant logic, and reliable availability signals. When AI goes looking for the right product, messy data means missing products.
We make products understandable to the systems doing the selling.
Catalog is the infrastructure for this shift. We turn raw merchant catalogs into product intelligence that is structured, enriched, and optimized for accurate retrieval and comparison. We make products understandable so they can be found, compared, and purchased seamlessly.
Built for where commerce is going.
Today, we help merchants reach AI shopping surfaces and give developers the product data they need to build. Tomorrow, we reduce the friction between every buyer and seller — across every channel where commerce happens.
Founders
Hamish Gunasekara
Co-Founder and CEO
Former Data Scientist at a major mobility marketplace, focused on core ML systems. Post acquisition, worked across Square and Cash App Commerce to streamline merchant integrations.
Co-Founder and CTO
Studied pure math at Harvard. Staff Machine Learning Engineer at a fintech where he built a product recommendation engine that drove over $50M ARR.
Work with us
We’re looking for exceptional builders - engineers and researchers who thrive on first-principles thinking, deep technical work, and ambitious ideas. People who want to define the foundations of how AI interacts with the real economy.