AI has become the interface to enterprise knowledge
The Physical World
Four sources of enterprise knowledge already feed your AI. Reality data should be the fifth.
documents
Policies, procedures, reports, manuals, contracts
business data
ERP, CRM, finance, HR, supply chain, sales
engineering data
CAD, BIM, P&ID, specifications, simulations
operational data
IoT, sensors, SCADA, historian, work orders
reality data
Point clouds, 3D scans, photos, geospatial
Operationalizing reality data: building the Enterprise Reality Layer
How to build the Enterprise Reality Layer
Why reality data is becoming a foundational enterprise capability, the technologies enabling this shift, and a framework for building an Enterprise Reality Layer.
Generative AI context out of the as-built world
Design intent drifts
Engineering models describe what was designed. None of these systems continuously represents what physically exists today.
Reality keeps changing
Equipment is installed, modified, repaired, inspected, relocated, and eventually replaced. Maintenance activities modify facilities every day.
AI needs physical context
AI cannot reason effectively about facilities that exist only as disconnected files. It needs structured spatial information.
The Enterprise Reality Layer
A vendor-neutral operational foundation that composes, organizes, enriches, synchronizes, and distributes reality information across the software ecosystem industrial organizations already depend on.