
CleanRoll.ai is an AI-powered rent roll software designed specifically for commercial real estate (CRE) investors, analysts, and property managers. It automatically standardizes messy rent rolls and T12 operating statements from any property management system into clean, structured data within seconds. The core value proposition is eliminating hours of manual reformatting and data entry, enabling users to focus on analysis and deal underwriting. By leveraging advanced AI mapping, the tool handles formats from Yardi, AppFolio, RealPage, MRI, Buildium, and more, delivering accurate outputs with over 95% mapping accuracy. This makes it an essential tool for anyone dealing with multifamily or commercial property financials who needs reliable data quickly.
The primary pain point CleanRoll.ai addresses is the time-consuming and error-prone process of cleaning rent rolls and T12s manually. CRE professionals often receive spreadsheets with inconsistent column names, mixed formatting, and missing values, forcing them to spend one to two hours per deal reformatting. This slows down underwriting and increases the risk of errors that can affect investment decisions. With CleanRoll.ai, users bypass the tedious cleanup and get standardized data instantly, allowing them to analyze more properties and close deals faster. The tool also flags anomalies like missing data, outliers, or suspicious values, preventing bad data from corrupting financial models. Ultimately, it solves the critical bottleneck of data preparation in commercial real estate analysis.
CleanRoll.ai's multi-format upload feature accepts Excel, CSV, and PDF files from any property management system, including Yardi, AppFolio, RealPage, MRI, and Buildium. Users simply drag and drop their documents onto the platform, and the AI column mapping engine then automatically detects the structure of each column, standardizing field names—for example, converting 'Unit #', 'Mo. Rent', and 'Tenant' into consistent headers like unit_id, monthly_rent, and tenant_name. This mapping achieves over 95% accuracy based on processing of over 50,000 rent rolls. The system also categorizes income and expense types when parsing T12s, with 18 income categories and 27 expense categories. This eliminates the need for manual column matching, saving significant time and reducing human error.
Dedicated T12 parsing extracts and categorizes operating statement data into income and expense buckets, handling complex layouts and providing a standardized breakdown for easy period-over-period comparison. The T12 reconciliation feature compares scheduled rent against actual collections, instantly identifying delinquencies and variances, helping users spot cash flow issues before they escalate. Additionally, the rent roll comparison shows side-by-side diffs of two rent rolls to track added, removed, or modified units over time. These capabilities streamline due diligence for acquisitions and portfolio monitoring, ensuring that financial data is both accurate and actionable for investment decisions.
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Beyond standardization, CleanRoll.ai includes advanced analytics for in-depth property analysis. The Loss-to-Lease Analysis compares in-place rents to market rates, quantifying renewal upside. Tenant Concentration uses AI-powered classification with HHI scoring to assess diversification risk. Stress Testing models vacancy shocks and rent declines with DSCR analysis, while Cap Rate Sensitivity creates a valuation matrix across NOI scenarios. Users can generate Rent Growth Projections with customizable growth rates and track Rent Escalation schedules. Lease Rollover Analysis views expiration dates with risk scoring, and Economic Occupancy calculations compare physical versus economic occupancy with delinquency detection. These tools are integrated directly into the platform, providing a comprehensive suite for investment underwriting.
The platform operates in three straightforward steps with no learning curve. First, users upload their rent rolls or T12 statements via drag-and-drop, supporting Excel, CSV, or PDF from various property management systems. Second, the AI automatically maps and analyzes the data: it detects columns, standardizes formats, categorizes income and expenses, calculates metrics, and flags anomalies. Third, users can export standardized data in Excel or CSV, compare rent rolls side by side, reconcile against T12s, or export directly to underwriting models from A.CRE, Tactica RES, or PropertyMetrics. The entire process averages about 10 seconds, making it practical for high-volume use. The platform is SOC 2 compliant, ensuring data security and confidentiality for sensitive financial documents.
Real-world scenarios include a CRE investor analyzing a new acquisition: they upload the seller's rent roll and T12, receive standardized files with key metrics like cap rate and DSCR, and proceed to underwriting in minutes instead of hours. A property manager can compare month-over-month rent rolls to track tenant changes and rent adjustments using the rent roll comparison feature. For portfolio analysis, the Pro plan aggregates data across multiple properties, enabling stress testing and loss-to-lease evaluations. The anomaly detection feature helps auditors flag outliers before they affect the model. Users report saving one to two hours per deal, allowing them to evaluate more opportunities. The outcome is faster, more accurate decision-making backed by clean, consistent data.
CleanRoll.ai is designed for commercial real estate investors, analysts, asset managers, and property management teams who regularly handle rent rolls and T12 statements. It is a web-based platform requiring no installation, accessible from any modern browser. It integrates seamlessly with exports from major property management systems and supports batch uploads for efficiency. Pricing is transparent: a free trial for 3 documents, Pay As You Go at $19 per document, Starter at $49 per month for 15 documents, and Pro at $99 per month for unlimited documents with API access and portfolio aggregation. Each plan includes all features, with higher tiers offering more capacity, template saving, and priority support. This pricing makes it accessible to individuals and teams alike, reinforcing the primary value of saving time and improving data quality in CRE workflows.
Commercial real estate investors, acquisition analysts, asset managers, property management teams, underwriters, and financial auditors who regularly handle rent rolls and T12 operating statements. The platform is ideal for professionals working with multifamily, office, retail, or industrial properties who need to standardize data from various property management systems like Yardi, AppFolio, RealPage, MRI, and Buildium. It also serves data analysts and portfolio managers seeking efficient, accurate data extraction and analysis for investment decision-making.
Updated 2026-02-28