For an owner, AI only matters if it can read the asset honestly. Catenda AI can, because the data underneath it is open and structured: every asset, document and change is a record it can answer from, not a guess.
Ask which assets are out of warranty, where the latest fire strategy lives, or what changed in the last refurbishment, and get an answer grounded in the model, with the provenance attached. The knowledge stays with the building, not with the person who left.
Because it is MCP-native, your own systems, an FM platform, a portfolio dashboard, your own agents, can query the same data under your own permissions. Open data is what makes that possible. See how Catenda AI works→
→ Ask the asset“Which roof plant is out of warranty this year?”
4 units, all on Block C, warranty lapsing Q3. Linked to their IFC elements, manuals and original handover record. Answered from the live model, not a spreadsheet.
→ Provenance on demand“Show the change history for the fire strategy.”
3 revisions across 8 years, each time-stamped with who approved it. The audit trail the regulator asks for is already there, exportable, not reconstructed.