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Natural-language intelligence for real estate data
Real estate analytics
- Challenge: A client had a large tenant-satisfaction database spanning many years, numerous buildings and multiple property types. The team needed advanced business-intelligence insights from this broad historical dataset.
- Approach: We built an MCP server and specialized AI real estate agents that connect natural-language questions to structured analysis of the historical data.
- Outcome: Users can explore trends and obtain advanced insights through natural-language queries, making complex analysis faster and more accessible to non-technical stakeholders.

