AXiM provides an AI‑driven platform that automates real‑estate underwriting and asset‑management by extracting data from leases and rent rolls, generating unit‑level cash‑flow forecasts, and running one‑click sensitivity analyses. The system also produces real‑time dashboards, investment memorandums, and IRR attribution reports, reducing manual effort and speeding portfolio decision‑making for institutional investors and property‑management teams.
Funding
Funding not disclosed
Founders
Product
Problem
Real estate underwriting and asset‑management workflows require extensive manual data cleaning, unit‑level rent forecasting, sensitivity analysis, and report generation, leading to high labor costs, slow decision‑making, and frequent errors.
Solution
AXiM offers an AI‑driven platform that automates the entire underwriting and asset‑management pipeline. The system uses natural‑language processing to parse and clean rent rolls, leases, and other financial documents, then builds unit‑by‑unit rent forecasts and conducts multi‑variable sensitivity tests with a single click. It also generates polished investment memorandums, unified actuals‑vs‑forecasts dashboards, and IRR attribution analytics, all refreshed in real time. By consolidating data, modeling, and reporting, AXiM reduces manual effort, shortens analysis cycles, and improves portfolio ROI.
Target Audience
Primary customers are institutional real‑estate investment firms, property‑management general partners, and underwriting teams that require high‑precision, scalable analysis of large portfolios.
Features
- NLP engine that automatically extracts and structures data from rent rolls, leases, and financial statements
- Unit‑level rent forecasting that provides granular cash‑flow projections for each apartment
- One‑click multi‑variable sensitivity analysis across all key underwriting assumptions
- Instant generation of professional investment memorandums and customizable reporting packages
- AI‑powered market intelligence that delivers real‑time predictive insights
- Unified asset‑management view linking actual performance to forecasted metrics
- IRR bridge analytics that attribute changes to specific drivers and scenarios
- Support for complex limited‑partner (LP) structures with flexible modeling options