CleanRoll.ai is a commercial real estate document-standardization and analysis service operated by CleanRoll Technologies LLC. Users upload rent rolls or trailing-twelve-month operating statements in spreadsheet, CSV, or PDF formats, and the service maps columns and categories into a consistent schema for review and export. It also presents rent-roll comparison, T12 reconciliation, anomaly detection, portfolio aggregation, API access, and underwriting-oriented analytics. Automated normalization can reduce rekeying, but the resulting table is not evidence that the source document or extracted values are accurate.
What CleanRoll.ai does
The platform is designed to recognize lease, unit, tenant, rent, square-footage, income, and expense fields from inconsistent source layouts. Users can review and edit standardized results, download Excel or CSV output, save mapping templates on eligible plans, compare versions, reconcile scheduled and collected rent, and examine rollover, concentration, occupancy, sensitivity, and stress-test views. Its current pricing page describes a small free allowance, per-document access, and monthly plans with different volume, batch, portfolio, support, and API features. Prices and limits should be confirmed at purchase time.
CleanRoll's terms say uploaded files and processed data are retained for a stated period after processing and describe encryption, payment processing, anonymized aggregate statistics, account deletion, and automated-processing limitations. These are vendor commitments, not independent security assurance. Rent rolls and T12s may contain tenant names, lease economics, deposits, delinquency, concessions, and confidential seller information, so buyers need contractual authority and data controls before uploading live acquisition material.
Who it is for
CleanRoll.ai is most relevant to CRE acquisition analysts, asset managers, lenders, brokers, operators, and small or mid-sized investment teams that receive inconsistent rent rolls and operating statements. It is not an accounting ledger, lease abstract, audit, appraisal, lender underwriting decision, fraud detector, legal review, or substitute for comparing documents with leases, bank records, property-management systems, and seller representations.
What to verify before adopting
Pilot native spreadsheets, scanned PDFs, unusual property types, mixed-use assets, duplicate units, amendments, month-to-month leases, recoveries, concessions, bad debt, nonrecurring expenses, and missing periods. Measure field-level extraction accuracy and require a human sign-off before formulas or underwriting models consume the output. Confirm supported formats, file-size limits, schema definitions, edit history, exports, API behavior, retention, early deletion, backups, encryption evidence, subprocessors, model providers, training terms, incident response, account isolation, and support. Reconcile standardized results to source totals and authoritative systems. PropAIdir has not independently tested CleanRoll.ai or reproduced vendor claims about mapping accuracy, processing speed, security, document volume, cost savings, anomaly detection, or underwriting outcomes.
