TenantIQ is a predictive intelligence platform for healthcare commercial real estate, ranking the medical operators most likely to expand at any given site. It combines a live map of tens of thousands of medical businesses with twelve years of opening histories, weekly hiring signals, and verified decision-maker contacts. The platform delivers a ranked ten-name call sheet, proven to be up to 273× more effective than random prospecting.
Funding
Funding not disclosed
Founders
Product
Problem
Commercial real estate brokers and landlords in the healthcare sector struggle to identify which medical operators are actually expanding, forcing them to prospect from thousands of businesses on a map with no signal of growth intent. This leads to inefficient cold-calling, missed opportunities, and wasted time on operators with no expansion plans.
Solution
TenantIQ provides a predictive intelligence engine that ranks medical operators by their likelihood to open a new location in a specific area. The platform maps tens of thousands of medical offices, ties them to their parent operating groups, and layers on twelve years of historical expansion behavior, weekly job-posting sweeps, and verified decision-maker contacts. Users receive a ranked shortlist of the ten most promising operators for any listing or tenant requirement, enabling them to prioritize warm conversations over broad outreach. The system is live across ten major metros and can be generalized to new markets without retraining, as demonstrated by backtests on cities the model had never seen.
Target Audience
Primary customers are commercial real estate brokers and landlords representing medical properties, as well as tenant reps seeking early visibility into operators' expansion plans.
Features
- Live map of 16,000+ medical businesses per metro, tied to the operating group that controls each location
- Twelve years of dated opening histories per operator, showing where they expanded, how fast, and what site types they chose
- Weekly job-posting sweeps that flag operators staffing up, revealing expansion activity before leases are signed
- Verified decision-maker emails and direct lines, unlocked per operator when ready to call
- Ranked ten-name call sheet per listing or requirement, with a backtested 44× to 273× lift over random map scanning
- Model generalizes to new metros without retraining, shipping new markets in days