AMDT builds versioning, backup, and cybersecurity software for manufacturing plants and industrial control systems. The tech stack reveals a heavy operational footprint: native integrations with Siemens, Schneider Electric, and Rockwell Automation PLCs, paired with enterprise ERP (SAP, NetSuite) and cloud infrastructure (Azure, AWS). Hiring is sales-driven (18 of 27 active roles in sales), with active projects on channel partner programs and go-to-market expansion—indicating a shift from direct sales to indirect channel distribution as they scale internationally.
AMDT is a Germany-based software company serving manufacturers and industrial operations globally. Their core product, Octoplant, provides version control and change tracking for industrial automation systems, configurations, and control logic. A complementary security layer, Octovision, aggregates multi-site OT data and surfaces vulnerabilities and asset risk. The company targets mid-to-large manufacturers where production downtime and unplanned shutdowns carry high cost, and where regulatory compliance and cybersecurity are material operational risks. Founded in 2007 with 201–500 employees, AMDT operates from Landau an der Pfalz and is currently executing PE exit preparation alongside international expansion.
AMDT provides version control, backup, and cybersecurity solutions for industrial automation systems. Their Octoplant platform tracks changes in PLC configurations and control logic; Octovision adds OT security monitoring and vulnerability assessment across multiple manufacturing sites.
AMDT integrates with Siemens SIMATIC S7, Schneider Electric, and Rockwell Automation PLCs. Backend stack includes Salesforce, SAP, NetSuite, Snowflake, Azure, AWS, Python, and TensorFlow—supporting both control systems and data analytics.
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AMDT's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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