One plane for your whole AI estate.

Quordo is the cross-vendor cockpit for everything AI in your company. Attribute every dollar to a team, set budgets that alert before they blow, and give your agent fleet shared context, handoffs, and an auditable trace — two surfaces, one plane.

Govern spend. Coordinate agents.

By the numbers

  • 5 — Providers you can connect
  • 2 — Surfaces, one login
  • 15 — Trace event types
  • MCP — Any MCP agent coordinates

AI is fragmenting your company — in cost and in coordination

  • Every team buys its own AI tools and runs its own agents; spend and work are scattered across providers, invoices, and machines.
  • Today's agents scale one person's output, but the coordination between them is still done by humans — handoffs in Slack, alignment in standups.
  • When the bill lands or an agent goes wrong, there's no shared truth, no per-team attribution, and no audit trail of who did what.

Two surfaces, one plane

Spend — Govern what your AI estate costs.

  • Per-team cost attribution across OpenAI, Anthropic, Azure OpenAI, Bedrock, and Vertex — every dollar lands on a team, model, and provider.
  • Budgets with threshold alerts and spend anomaly detection.
  • CSV export for chargeback, and an audit log of every mutation.

Coordinate — Govern how your agents work together.

  • Shared, versioned mission context for Claude Code, Devin, Cursor — any MCP agent.
  • Handoffs and an append-only, auditable trace, with coherence % as the headline metric.
  • Optimistic-concurrency conflict detection when two agents write the same fact.

Per-run cost reconciles into per-mission spend — ask "what did this mission cost across every agent?" and get one answer.

Works with the estate you already run

  • OpenAI
  • Anthropic
  • Azure OpenAI
  • AWS Bedrock
  • Google Vertex

Per-team cost attribution is live for all five providers — OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and Google Vertex.

  • MCP
  • A2A

How it works

  1. Connect your estate Add your AI provider keys and register your agents. Credentials are encrypted at rest and never exposed back to the UI.
  2. Attribute & coordinate Quordo stamps every usage event with a team and gives your agents shared mission context, handoffs, and one auditable trace — over MCP.
  3. Govern from one cockpit Set budgets, watch coherence, and let alerts catch overruns, anomalies, and agent conflicts before they cost you.

Frequently asked questions

What is Quordo?
Quordo is the cross-vendor control plane for your AI estate. It has two surfaces: Spend governs what your AI costs (attribution by team, budgets, alerts, audit), and Coordinate governs how your agents work together (shared mission context, handoffs, an append-only auditable trace, coherence %, and conflict detection) — all from one cockpit.
What does the Coordinate surface do?
Coordinate gives your fleet of agents a shared, versioned source of truth scoped to each mission, lets them hand work off with context, and records every run, context write, and handoff in an append-only auditable trace — rolled up into a coherence % for the mission. When two agents write the same shared fact, optimistic-concurrency conflict detection flags it so a human resolves it — keeping humans only at the top. It ships an MCP server, so any MCP agent can coordinate.
How is this different from an agent framework like LangGraph or CrewAI?
Those are developer frameworks 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, so agents on either protocol join without bespoke glue; we don't replace your frameworks.
Which AI providers and agents does Quordo support?
On the Spend surface you can connect five providers — OpenAI, Anthropic, Azure OpenAI, Amazon Bedrock, and Google Vertex — with per-team cost attribution live for all five. On the Coordinate surface, any agent that speaks MCP — Claude Code, Devin, Cursor, and others — can join a mission via Quordo's MCP server, and agents that speak Google's A2A protocol can join over Quordo's A2A JSON-RPC endpoint.
How does cost attribution by team work?
You assign each provider connection to a team. Quordo stamps every usage event with that team, so cost rollups and the dashboard can slice spend per team, model, and provider — ideal for chargeback and showback. Per-run agent cost also reconciles into per-mission spend, so you can answer "what did this mission cost across every agent?"
Can I set budgets and get alerted?
Yes. Set a monthly limit org-wide or per team. Quordo tracks spend against it, shows on-track / near-limit / over states, dispatches deduplicated threshold alerts (in the audit log and via an optional webhook), and anomaly detection flags days where spend spikes well above the trailing average.
How much does Quordo cost?
Free is $0 for up to 3 seats and includes both surfaces. Team is $19 per seat per month with a 14-day free trial, for up to 25 seats — adding budgets and threshold alerts, anomaly detection, CSV export, and MCP coordination for your agent fleet. Enterprise is custom pricing with VPC or self-hosted deployment and unlimited seats; SSO/SAML/SCIM is on the Enterprise roadmap.
Who is Quordo for?
CIOs, Chief AI Officers, and platform engineering leads — anyone accountable for what an organization spends on AI and for how its growing fleet of agents works together. Finance gets attribution and chargeback; platform teams get coordination, audit, and governance.

Go deeper on cost and coordination

Guides on FinOps for AI spend, the agent coordination gap, and wiring your coding agents into one plane.