AI that stays inside the plant.
We are developing AI capabilities that can operate locally and on-premises, bringing intelligence closer to industrial data rather than requiring sensitive operational information to be sent outside the customer environment.
The principle is simple: AI should adapt to the security requirements of the plant – not require the plant to adapt to AI.
See more without adding operational risk.
We continue to deepen visibility into what is actually running across the shop floor using trusted project, configuration, and asset information.
For many manufacturers, answering “What exactly is running in our plants?” is still surprisingly difficult. Better industrial intelligence begins with a trustworthy answer – without introducing unnecessary interaction with live production systems.
Elevate: building responsible AI capability inside AMDT.
Elevate is AMDT’s company-wide AI adoption program. It works across departments to identify real inefficiencies and valuable use cases, train and qualify employees, and build a network of AI champions who help teams apply the technology responsibly.
From operational data to industrial intelligence – without giving up control.
Octoplant already creates a trusted operational history across configurations, versions, changes, devices, and production environments. Octovision turns that foundation into broader asset and risk intelligence.
We are developing ways for AI to make that trusted data easier to understand, interrogate, and act on – while keeping customer control, human decision-making, and data sovereignty at the center.
Industrial AI should make trusted OT data more useful. It should not create another source of operational risk.
