The full answer
Marketplaces usually stall on the cold-start problem: buyers will not visit an empty directory and companies will not join one without buyers. Creuto's answer was to seed approximately 200,000 profiles from publicly available listings, normalise the inconsistent source data and run every record through an AI content engine that produces original, consistently structured descriptions.
Trust is built into the architecture. A company claims its existing listing rather than creating a duplicate, and proves ownership through one of two independent paths: a DNS record on its own domain or a one-time code sent to the email already on file. Listings with no usable contact data go through assisted recovery with the Edverise team.
Every claimed or new profile starts in draft and is published only after a super admin reviews it, with email notification of each outcome. Claude also powers the customer support layer that answers questions about claims and verification, while accept, reject and publish decisions stay with people.
The platform runs on Next.js, React and TypeScript with Node.js services, and was built using Claude agentic development inside Creuto's engineering workflow. It is one of Creuto's flagship AI builds and shows how the team divides work between models, for volume, and people, for accountability. Read the case study or talk to Creuto about an AI-native product.