Table of Contents
CleanRoll AI
CleanRoll AI solves the “data wrangling” problem in Commercial Real Estate (CRE). Investors typically spend hours manually reformatting inconsistent rent rolls from various property management systems like Yardi, AppFolio, or RealPage before they can even begin underwriting a deal. CleanRoll automates this process in seconds, using AI to instantly standardize messy PDFs and Excel files into a clean, uniform format ready for financial modeling.
Key Features
- AI Rent Roll Standardization: Automatically maps raw columns to standard CRE fields (e.g., Unit ID, Tenant Name, SqFt, Rent) and categorizes line items into 18+ income/expense categories.
- Instant Financial Analysis: Beyond simple cleaning, it immediately calculates critical metrics like Loss-to-Lease (market vs. actual rent) and Economic Occupancy.
- Risk Assessment Tools: Built-in modules for Tenant Concentration Risk (HHI scoring) and Lease Rollover analysis to visualize expiration cliffs.
- T12 Reconciliation: Compares scheduled rent from the rent roll against actual collections in the T12 statement to flag discrepancies.
- Anomaly Detection: Automatically highlights missing data, outliers, or suspicious values that require manual review.
Use Cases
- Acquisition Underwriting: Rapidly standardizing broker-provided data to build cash flow models in minutes instead of hours.
- Portfolio Monitoring: Tracking occupancy and rent growth across a portfolio by standardizing monthly reports from different property managers.
- Due Diligence: Verifying income streams and identifying collection issues by reconciling rent rolls with T12 statements.
- Brokerage: Preparing clean, standardized data rooms for potential buyers.
Pros & Cons
- Pros:
- Speed: Reduces processing time from hours to under 30 seconds per document.
- Specialization: Trained specifically on 50,000+ CRE documents, offering higher accuracy for real estate terms than generic AI parsers.
- Accessibility: Affordable “pay-as-you-go” pricing makes enterprise-grade automation accessible to small firms and individual investors.
- Cons:
- Niche Scope: Strictly focused on CRE rent rolls and T12s; not a general-purpose document parser.
- Input Quality: While robust, extremely poor-quality scans or handwritten notes may still require manual intervention.
How Does It Compare?
CleanRoll AI targets the “under-served” mid-market that needs enterprise tools without the enterprise price tag.
- vs. RedIQ / PRODA:
- RedIQ & PRODA are the established enterprise incumbents. They offer deep integration and robust features but typically require expensive annual contracts and lengthy onboarding, making them prohibitive for smaller shops.
- CleanRoll AI offers similar core standardization capabilities but with a friction-free, self-serve model (start for free/$19), making it ideal for independent sponsors and smaller investment teams.
- vs. Clik.ai / V7 Go:
- Clik.ai focuses heavily on automated underwriting and extracting data directly into valuation models like Excel/Argus.
- CleanRoll AI differentiates with a stronger focus on the “cleaning” and “risk analysis” phase (rollover, concentration) before the data hits the financial model.
- vs. Manual Excel / General AI (ChatGPT/Claude):
- LLMs like ChatGPT can extract data but often hallucinate numbers or struggle with maintaining row-column integrity in large datasets.
- CleanRoll AI combines AI text recognition with strict structured data logic, ensuring that the numbers in the output match the input exactly—critical for financial accuracy.
Pricing
- Pay-as-you-go: $19 per document (no subscription required).
- Starter: $49/month (includes 5 documents/month).
- Pro: $99/month (includes 15 documents/month + priority support).
Final Thoughts
CleanRoll AI is a “no-brainer” tool for CRE professionals who value their time. By turning the mundane, low-value task of data entry into a 30-second automated step, it allows analysts and investors to focus on what actually matters: analyzing the deal and finding value. Its low barrier to entry makes it a must-try for anyone tired of “Excel hell.”