AI for Agentic Commerce

Commerce is being rearchitected around agents. As AI assistants begin to research, decide, and purchase on behalf of users, the infrastructure built for human browsing, search boxes, product pages, checkout flows, becomes the wrong interface for the buyer.

Today's commerce stack assumes a human in the loop at every step:

• Discovery is built for eyeballs. Catalogs, SEO, and ad-driven ranking are optimized for human attention, not machine-readable evaluation.
• Trust is implicit. Reviews, brand, and UI cues signal trust to people but are illegible to agents.
• Payments assume a person at checkout. Authentication, fraud, and authorization flows break when the buyer is an autonomous agent.
• Merchants have no agent surface. There is no standard way for a store to expose inventory, pricing, and policies to a transacting agent.

• Agents can now plan and act. Tool use and reliable reasoning let assistants complete multi-step purchase journeys.
• Structured product data is emerging. Feeds and protocols are making catalogs machine-consumable.
• Agent-aware payment rails are forming. Issuers and networks are defining how to authorize and secure agent-initiated transactions.

• Agent-native discovery. Systems that let agents evaluate products against intent, constraints, and budget rather than scrolling pages.
• Trust and verification infrastructure. Merchant identity, provenance, and policy data that agents can verify before transacting.
• Agentic payments. Authorization, spend controls, and fraud prevention designed for agent-initiated purchases.
• Merchant-side enablement. APIs and storefronts that expose inventory and policies to transacting agents.

We back founders building the rails of the agent economy, the discovery, trust, and payment layers that let agents transact on behalf of buyers and merchants safely and at scale.