Company intelligence
NILE
Nile is building the commerce layer for AI agents.
About NILE
Nile is building the commerce layer for AI agents. The buyer is no longer always a person. The first product recommendation a customer receives today comes from an AI, not a search engine. If your catalog is built only for human eyes, you are invisible in the fastest-growing sales channel on the internet. Nile is built for this exact reality. We connect quality merchants directly to AI buyers and operate the channel end-to-end, so you can focus on building your products, not managing complex distribution algorithms. For merchants, Nile is a net-new revenue stream that runs itself. - Zero setup fees. - Zero ad spend. - Zero extra operations. You list. We operate. You get orders.
Verified activity
Signals from NILE
8 published signals
Research & Knowledge
NILE interviewed 54 people to find out whether they use AI to shop before going to a brand’s website or Amazon.
Reported by Ashwin Menon
Capital & Finance
NILE reported that ChangXin Memory Technologies, Inc. (CXMT) completed a massive IPO last month, making it now valued at around $579B.
Reported by Zhao Hanbo
Products & Services
NILE launched Claude Commerce Agents as an open-source blueprint for shopper agents that can understand conversational intent, search a product catalog, recommend based on context, remember preferences, add to cart, and hand off to checkout.
Reported by Zhao Hanbo
Research & Knowledge
NILE went deep on the Product Context Layer inside a company and why it isn't a PIM, feed management, a product data layer, or GEO.
Reported by Zhao Hanbo
Products & Services
NILE's Shopify store now answers agent calls.
Reported by NILE
Products & Services
NILE published Issue #3, which highlights that UCP made discounts and loyalty machine-readable.
Reported by NILE
Research & Knowledge
NILE published a research piece unpacking data findings that challenged assumptions about AI product visibility.
Reported by Zhao Hanbo
Products & Services
NILE builds an AI agent for brands to communicate with AI systems and provide product context, specs, and comparisons to help recommend products.
Reported by Ashwin Menon