Neodustria
Problem
Industrial engineering is fragmented across CAD, simulation, materials databases, quality systems, technical documents and operational data. When a component, geometry, material or operating condition changes, engineers must manually determine what downstream calculations, simulations and validations are affected. In complex industrial systems this often results in excessive re-simulation, duplicated engineering effort, slow design iterations and poor traceability of technical decisions. Existing CAD, CAE, PLM and digital-twin tools largely manage individual parts of this workflow but do not understand the causal relationships between geometry, materials, physics and engineering evidence. This makes engineering change expensive, slow and difficult to validate, particularly in industries such as machinery, automotive, aerospace, rail, construction, energy and process industries.
Solution
Neodustria creates a connected engineering intelligence layer across geometry, materials, physics, simulation and engineering knowledge. Its Physics-Aware Model, NPAM, represents dependencies between an engineered object and the evidence used to validate it. When something changes, the platform determines what the change affects, which assumptions or evidence are invalidated, and which analyses must actually be repeated. Instead of restarting the complete engineering-validation process, Neodustria enables selective revalidation. The platform combines 3D geometry intelligence, materials intelligence, physics simulation, engineering knowledge representation, quality workflows and operational data integration in one environment, while integrating with existing CAD, CAE, PLM and industrial systems.
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