Platform
We connect P&IDs, 3D models, requirements, change history, and field evidence so AI works from verifiable engineering context — reducing guesswork, not claiming to eliminate it.
We collect data from the SmartPlant P&ID Database or key engineering lists, normalize objects, attributes, identifiers, and relationships against the DEXPI 2.0 specification, and build a Process Rich Tag Graph. Different sources can then be interpreted through the same Engineering Identity and Process Context.
Which real object does this tag point to? — Resolves a source tag to its target object, with confidence and candidates where the mapping is ambiguous.
The Spatial Graph is built from Smart3D objects, hierarchy, position, relationships, and metadata. Where needed, spatial context can also be built from AVEVA RVM/ATT or Navisworks object properties and hierarchy — with less richness than the Smart3D path.
Which space and relationships should be reviewed right now? — Turns engineering intent into the qualified spatial rules that select the neighborhood to review.
What did the AI look at, and why did it reach that judgment? — Keeps the objects, revisions, clauses, and spatial rules behind each decision.
AI that reads files → Object identity → Relationships → Spatial context → Change & evidence → Analysis and review support
