Two surfaces. One control plane for everything AI.

Govern what your AI estate costs

Connect every provider and turn opaque invoices into per-team accountability. Spend attributes every dollar, watches budgets, and flags anomalies before they become five-figure surprises — across OpenAI, Anthropic, Azure OpenAI, Amazon Bedrock, and Google Vertex.

Cost attribution by team

Assign each provider connection to a team. Quordo stamps every usage event with that team and stores the denormalized provider, model, and cost on the event, so the dashboard slices spend by team, model, and provider — historical attribution stays intact even when a key is rotated.

Budgets with threshold alerts

Set a monthly limit org-wide or per team. Quordo tracks spend against it and shows on-track, near-limit, and over states. Threshold alerts are deduplicated — you're notified once when a budget first crosses a threshold and again only when it escalates — so the channel stays worth watching.

Spend anomaly detection

Anomaly detection flags days where spend spikes well above the trailing average, catching a runaway loop or a misconfigured job before the bill lands rather than after.

CSV export for chargeback

Export attributed spend to CSV for showback and chargeback, so finance can push AI cost back to the cost centers that incurred it without re-deriving it by hand.

Per-mission cost reconciliation

Per-run agent cost reconciles into per-mission spend, so you can answer "what did this mission cost across every agent and provider?" with a single number.

Finance gets attribution and chargeback. Platform leads get a budget that alerts before it blows.

Govern how your agents work together

Today's agents scale one person's output, but the coordination between them is still done by humans. Coordinate gives your fleet a shared source of truth, lets them hand work off with context, and records everything in an append-only trace — so a swarm of agents behaves like one accountable team.

Shared, versioned mission context

Every mission has a versioned source of truth that agents read and write instead of drifting. Claude Code, Devin, Cursor — any MCP agent — see the same facts, so work doesn't fork into three private notions of the truth.

Handoffs with shared context

Agents hand work off with the mission context attached, so the receiving agent picks up where the last one left off instead of re-discovering the state from scratch.

Coherence as a headline metric

One number tells you whether the swarm is aligned. Coherence % rolls up shared-context agreement across every agent on the mission, so you can see drift before it turns into rework.

An append-only, auditable trace

Runs, context writes, handoffs, conflicts, and more land in one immutable timeline. Nothing is edited or deleted, so the trace is a record you can actually trust when you need to reconstruct what happened.

Conflict detection

Optimistic concurrency catches two agents writing the same shared fact. Quordo flags the conflict and alerts you so a human resolves it before the work breaks — keeping humans only at the top of the loop.

Speaks MCP today

Quordo ships both an MCP server and a Google A2A JSON-RPC endpoint (with an Agent Card at /.well-known/agent-card.json), so any agent that speaks either protocol can join a mission without bespoke glue.

Platform teams get coordination, audit, and governance for the agents they've already built — on any framework or vendor.

One plane, not two tools

Spend and Coordinate aren't separate products bolted together — they share one data model. Per-run cost from the Coordinate trace reconciles into the Spend rollups, so the question "what did this mission cost across every agent?" has one answer, not a spreadsheet. You sign in once, govern both, and never reconcile two sources of truth by hand.

• One login, one audit log, one source of truth across cost and coordination.
• Per-run cost flows from the agent trace into per-team and per-mission spend.
• Works with the estate you already run — five providers and any MCP agent.

Above your frameworks, not instead of them

Agent frameworks like LangGraph and CrewAI are for building a single multi-agent app. Quordo is the cross-vendor control plane above them: it gives the agents you've already built — on any framework or vendor — a shared truth, coordination, governance, and audit at the organization level. We speak both MCP and A2A today. We don't replace your frameworks.