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MATE: our AI delivery platform and open-source accelerator

We use MATE to deploy governed AI workflows faster and more reliably — on the platform you already run, or on MATE when you’d rather we brought one. It is an accelerator, never a requirement.

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What MATE is

An orchestration layer for operational AI

MATE is our open-source platform for building and running AI workflows in real businesses. It handles the hard parts — orchestrating multiple agents, connecting to systems, enforcing governance, and tracking cost — so the AI we deliver is reliable and controllable from day one.

For your team, the benefit is simple: AI workflows that ship faster, behave predictably, and don’t lock you into a single vendor.

MATE Visual Builder — the agent graph behind Goal Navigator, with agents connected to an MCP server
The Visual Builder — the real agent graph behind Goal Navigator.
The distinction that matters

Unlike many AI consulting firms, we don’t start with AI tools

We start with operational workflows and data foundations. MATE accelerates implementation once those foundations are in place — which is exactly why the AI we ship is reliable instead of a demo that never reaches production.

Capabilities

Everything an agent needs — configured, not coded

Each agent is defined, governed, and observable from one place: pick a model, wire up tools and MCP servers, set guardrails and who’s allowed to call it.

  • Multi-agent orchestration
  • MCP server connectivity
  • Guardrails & content policy
  • Role-based access
  • Planner & tool configuration
  • File search / RAG
  • Cost & token tracking
  • Multi-tenant, multi-project
MATE agent configuration screen — model selection, MCP servers, guardrails, and allowed roles
One agent’s configuration — model, MCP servers, guardrails, and roles.
See it running

Not a demo — a platform in production

MATE’s Control Room: live usage, token spend, active users, deployed agents, service health, and guardrail logs across every project.

MATE Control Room dashboard — LLM requests, total tokens, active users, published agents, usage charts, and service health
The MATE Control Room — real observability and governance, not a mockup.
How to think about MATE

Your platform, or ours.

You don’t buy MATE — you benefit from it. Where you already run Azure AI Foundry, AWS Bedrock, Google Vertex AI, OpenAI or Databricks, we build there. Where you’d rather we brought the platform, MATE is the engine that lets us deliver governed, reliable AI as part of your modernization — and it’s open source, so there’s no black box and no lock-in either way.

Want proof? MATE runs our own product in production — Goal Navigator, an AI goal-execution coach live at goalnavigator.ai: four agents, an MCP server, and a hybrid AI architecture you can read about in full.

See MATE in a real product → See AI Enablement