Industrial automation · IT/OT integration · Applied AI for decisions
AUTEN connects automation, supervision, MES/MOM and applied AI to turn industrial signals into operational context. Decisions stop depending solely on the experience of whoever was there and start having traceability, evidence and technical backing.
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Engineering hours over the past year in product R&D
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Years connecting automation, process and the plant floor
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Support for critical operations with on-call coverage and guaranteed SLA
Architecture, engineering and continuity only work when they talk to each other. Before scope, during commissioning, and on the rotation after go-live.
When data sits parked in parallel spreadsheets, nobody really sees the process. We connect plant floor and corporate systems so KPI, event and context arrive together. On that base, applied AI supports operators, engineering and management without turning into a promise.
Logic another engineer can actually read. Interlocks that make sense under real conditions, not only on a diagram. Commissioning that closes with evidence, not "seems to be running".
After go-live the plant keeps changing. Structured support, criticality-based SLAs and a recorded technical history keep the next decision from depending on one person's memory.
Eight products that talk to each other and to the systems your plant already runs. HiveX is the layer that ties execution, traceability and context together. On that base, applied AI supports decision, investigation and action in the daily life of operations.
An industrial automation company that moves between operations, engineering and IT/OT. We work with vertical integration, technical standardization and operational context, so the plant stops depending on parallel spreadsheets and key people to explain its own process.
Make industrial automation easier and less bureaucratic, turning processes and operations into simple, executable, standardized, and traceable flows through software and services that connect strategy, automation, and operations, with practical innovation, safety, and measurable results.
Less translation between engineering, operations and maintenance.
Governance after go-live, not informal dependency.
Bring us a slice of the operation. A critical process, a fragile integration or a KPI no one can explain. We come back with a technical reading and a realistic timeline, not a stock proposal.
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