TractIQ provides a robust data layer that aggregates market, demographic, and competitive information for real‑estate underwriting, then layers AI tools to automate analysis and generate insights. Its AI Connector integrates with platforms like Claude to auto‑populate comparable data, drive key assumptions, and produce detailed market narratives directly into investment committee memos. The service accelerates deal evaluation, giving users faster, more data‑driven decisions across their portfolios.
Funding
Funding not disclosed
Founders
Product
Problem
Self‑storage underwriting often relies on fragmented data sources, manual compilation of comparable properties, demographic inputs, and supply indicators, leading to time‑consuming analysis that may not meet the rigor required for investment committee review.
Solution
TractIQ provides a curated, institutionally‑validated data layer covering supply, demand, pricing, occupancy, and risk factors for the self‑storage market. Its AI Connector integrates this data with large language models such as Claude, automatically populating comparable sets, demographic assumptions, and supply markers within a conversational interface. Users can generate detailed market insights, investment memos, and quarterly narratives directly from a mobile device, accelerating deal evaluation while maintaining data accuracy. The platform offers API access and export tools for seamless integration into existing workflows, enabling analysts to focus on interpretation rather than data gathering.
Target Audience
Primary customers are self‑storage operators, acquisition teams, and real‑estate investment analysts who need fast, data‑driven underwriting and market analysis.
Features
- Comprehensive database of 60,000+ active self‑storage facilities with unit‑level pricing, ownership, and development pipeline details
- Historical rental rate data back to 2018 and demographic trends dating to 2010 for robust trend analysis
- Integrated AI Connector that auto‑populates comps, demographic inputs, and supply risk flags using LLMs like Claude
- REST API and export options (PDF, CSV, XLSX) for real‑time data integration into CRM or underwriting systems
- Site risk assessments including flood zones, sea‑level rise, seismic and wildfire hazards
- Daily updates to rate data with monthly aggregation for smoother trend visualization
- Priority support and dedicated account management for higher‑tier subscribers