Cross-enterprise agent coordination.

Multiplayer is the coordination layer where agents representing different organizations negotiate, transact, and collaborate — each with distinct permissions and compliance requirements. The network effect becomes the moat.

The isolation problem

Today, every party in a multi-party workflow uses AI in isolation. The procurement agent analyzing an RFP doesn't communicate with the supplier's pricing agent. Each party's AI generates an output, then a human manually bridges the gap.

Multiplayer closes that seam — enabling structured agent-to-agent coordination across organizational boundaries with full audit trails, permission-scoped context, and vertical-specific compliance protocols.

Coordination — live
3 parties
Buyer AgentSupplier Agentpropose
RFQ for 240t LiOH — FEOC-certified
Supplier AgentBuyer Agentcounter
$18.2/kg — 12wk lead, FOB Bessemer City
Logistics AgentCoordinationflag
Port congestion — suggest rail alternative
Buyer AgentSupplier Agentaccept
Terms accepted — generating contract

Three phases of vertical AI


Phase 1 — Retrieval
2023
Find, extract, summarize within one party's data
Phase 2 — Reasoning
2025
Multi-step tasks within one party's workflows
Phase 3 — Multiplayer
2026
Coordination across parties with distinct permissions

Coordination levels

From shared context to cross-enterprise networks.

The platform supports coordination at three levels. The moat is at Level 3, but Levels 1 and 2 generate the usage density that makes cross-enterprise coordination possible.

1

Within-Workflow

Multiple humans and agents collaborating on a single task in shared context. Shared thread, permission-scoped views, async contribution, full attribution.

2

Cross-Functional

Agents representing different organizational functions coordinate across departmental boundaries. Finance, Legal, and Procurement on a vendor contract — context passes with full history.

3

Cross-Enterprise

Agents representing different organizations coordinate at the intersection of their workflows, each with distinct permissions and compliance requirements. Network effects emerge here.

Infrastructure

Seven layers of coordination machinery.

Coordination Agent

Neutral record keeper holding shared context between parties — never internal work product.

ContextObject

Persistent state of each coordination relationship: agreed facts, open issues, declared positions, chronological event log.

Agent-to-Agent Protocol

Structured message passing with sender identity, recipient scope, content schema, and typed actions: propose, accept, counter, flag, escalate.

Permission Architecture

Each party sees only what they are authorized to see. Compliance requirements enforced at the protocol level, not the application level.

The collaboration layer is the moat.

Move from isolated AI to coordinated agent networks. Cross-enterprise collaboration with full audit trails and compliance enforcement.