When a regional VP asks 'How are our London properties performing this quarter?', somebody has to pull data from 12 different instances, normalise it, and build a comparison. By the time the report is ready, the data is old and the moment has passed. Multi-property operators need portfolio intelligence on demand — not weekly roll-ups that arrive too late to act on.
Sidenet's AI orchestrator routes queries across multiple property data sources and returns unified, portfolio-level insights. One question, all properties, instant answers.
Each of these assistants can be built, configured, and shipped using Sidenet — no AI engineering required.
Answers cross-property queries by routing to the right data sources across the portfolio.
Portfolio-level intelligence on demand. No more waiting for weekly roll-up reports. Regional VPs and group-level operators get answers in seconds.
Compares individual property performance against internal benchmarks and external comp sets.
Underperformers get flagged early. Best practices from top properties get surfaced and shared. Data-driven operations management across the portfolio.
Generates consolidated reports across multiple properties for group-level stakeholders.
Board-ready reports in seconds. No more assembling data from 14 sources. Group-level operators lead with data, not anecdotes.
Embed the Sidenet chat in your multi-property management platform with a single line of code.
Configure portfolio analytics, benchmarking, and reporting agents in Studio. Connect to each property's data source through the orchestrator.
Test internally, then ship to your group-level operators with full observability and scoring.