Capture operators’ decision criteria and response sequences through interviews.
NAZARE · Manufacturing ontology
Turn expert know-how into data AI can use.
What is abnormal, what should be checked first, and what action is appropriate? Ingkle specialists capture this knowledge through interviews and tools, linking equipment, parts, signals, criteria and actions. This is Manufacturing ontology.
Keep data on siteStart small, expand as needed
What changes on the shop floor
Manufacturing ontology
Connect knowledge to common terms and asset relationships, then review it with site experts.
NAVIS and optional ML models use this knowledge as evidence. Control follows approval and permitted operating limits.
NAZARE
Explore the tools behind your daily operations.
From connections and analysis to maintenance and administration: see what each screen helps you do.
Manage access and operating standards
Signal data management
Use signal names and units people recognize
Assign names, descriptions and units to controller signals, choose visible fields and manage alarm and operating-state criteria.
MDR dictionary
Give different equipment signals a shared meaning
Define signal meanings and recommended units in a shared dictionary, then map equipment fields for consistent comparison.
NAZARE · Manufacturing ontology
Expert know-how becomes evidence for AI decisions.
NAZARE structures experience as relationships and criteria; NAVIS uses it in the current situation. Beyond document search, this makes connections, conditions and appropriate actions understandable.
NAZARE · 01 · Capture experience
Start with the expert’s own words.
“If pressure builds slowly, check filter differential pressure and valve response first.” Ingkle specialists capture experience, context and check sequences through interviews and software tools.
NAZARE · 02 · Connect relationships
Connect components to the signals they affect.
Manufacturing ontology connects equipment, components and signals. It is a knowledge map that lets AI follow plant structure and meaning when reasoning.
NAZARE · 03 · Put knowledge to work
Define conditions, actions and stop boundaries.
Structure verified experience into abnormal conditions, checks and action criteria. NAVIS reads them alongside current data. Experience that cannot be formalized remains supporting context.
The same data, ready for the next task.
Start together
Tell us what you want to improve first.
Tell us about your equipment, data and priorities to review a path from connection to operations.