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Avathon

Autonomy for Manufacturing

Plan what you’ll produce and produce what you plan

Demand, supply, materials, and machinery often conflict. When managed on a common knowledge foundation with a Physical AI overlay, plant operations have higher uptime, greater output, and are resilient to disruptions on the floor and from the supporting supply chain.

How it works

  1. Grounded in the knowledge base

    Demand, capacity, quality, and maintenance stop being four plans: one model of the line holds the order book, the equipment, and the constraints between them.

  2. Reasoned over by agents

    Agents re-plan as conditions change and sequence changeovers against real orders, while machine vision inspects at line speed instead of at audit.

  3. Delivered on the floor

    The plan lands as schedules, work instructions, and alerts operators act on — and what the floor does next feeds the model.

Live in

The other modules

Every module reads and writes the same graph. See the platform

Tell us what you operate. We will show you the graph for it.

A 45-minute working session with our engineers, using your asset hierarchy and a slice of your real maintenance history.

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