The commerce network AI can understand.
Rivet connects the relationship, transaction, documents, conversations, approvals, workflow, systems, and money into one permissioned business context — so AI can understand the transaction itself, not reconstruct it from fragments.
Most AI is layered over software designed for humans.
The model gets an invoice from one system, a PO from another, an email thread somewhere else, a payment state from a bank, an ERP record — and then we ask it what is happening with the transaction. It has to reconstruct reality from fragments. That is the same problem people have today.
Rivet changes the information structure underneath.
The AI starts with a connected business event.
Understand today. Act next. Trust throughout.
Understand
Ask why an invoice has not been paid, what changed on a purchase order, what you are owed and overdue — and get answers from connected, permissioned records. Gio, the companion in Messages, answers with the numbers.
Act
Intelligence that prepares work: drafting counterparty communication, routing approvals, reconciling transactions, surfacing exceptions, recommending next actions — with explicit human authorization.
Trust
Every fact carries its origin — entered by a user, synced from a connected system, customer confirmed, Rivet observed, payment provider reported, or an AI summary marked as derived. AI reasons over the record without becoming the source of truth.
Not a blank browser. Structured business objects.
Rivet gives intelligence workflow states, permissions, counterparties, and explicit actions — an inherently better environment than screen-scraping five applications. The connection itself establishes identity, membership, per-side system ownership, and transaction context.
The architecture was built for shared work between companies. That is exactly what the AI era needs.
Built for people today. Built for intelligent commerce tomorrow.
Agents need what people need: identity, permission, commercial relationships, shared objects, workflow rules, evidence, and settlement. That is the architecture Rivet is assembling.
Every relationship makes Rivet more useful.
Not because Rivet owns anyone's private data — each organization keeps its own systems and boundaries. Because Rivet is where the permissioned, shared history of commerce lives.
Ask how anything works, what needs your attention, or what the numbers say — and get answers from your own verified records.
The AI era doesn't just need smarter models. It needs better business context.
Rivet is building it.