CleanRoll AI
AI-powered rent roll standardization for CRE investors
56 followers
AI-powered rent roll standardization for CRE investors
56 followers
CRE investors spend 1-2 hours reformatting every rent roll before analysis can begin. Yardi, AppFolio, RealPage, PDFs—every format is different. CleanRoll fixes this in under 30 seconds: → Upload any rent roll (Excel, CSV, PDF) → AI maps columns to 12 standard fields → Review, adjust, and export clean data Plus: lease rollover analysis, loss-to-lease calculation, cap rate sensitivity, tenant concentration risk, and stress testing. All built in.
Products used by CleanRoll AI
Explore the tech stack and tools that power CleanRoll AI. See what products CleanRoll AI uses for development, design, marketing, analytics, and more.
Engineering & Development 1
Engineering & Development 1
RailwayInstant Deployments, Effortless Scale
5.0 (49 reviews)
RenderKeeps everything organized in one place. Database, backend, cron jobs, all deployed and scaled without touching infrastructure. Going from local development to production was seamless, and scaling up as traffic grows takes seconds. No DevOps headaches, just building.
Data analysis tools 1
Data analysis tools 1
PostHogThe open source product OS
5.0 (173 reviews)
Also considered:
Amplitude
Plausible AnalyticsOne platform for everything: web analytics, product analytics, error tracking, experiments, and surveys. Instead of stitching together five different tools, I have everything in one dashboard. Seeing how users move through the column mapping flow, running A/B tests on the upload experience, and catching errors all in the same place made iteration so much faster.
LLMs 1
LLMs 1
Claude by AnthropicA family of foundational AI models
5.0 (624 reviews)
Also considered:
ChatGPT by OpenAI
GeminiClaude handles messy, unstructured data better than anything else I tested. Rent rolls come in hundreds of formats with inconsistent headers, merged cells, and abbreviated tenant names. Claude correctly maps "OCCPNT_NM" to "Tenant Name" and "MO_RENT_AMT" to "Monthly Rent" without extensive prompt engineering. The large context window also lets me process bigger files in a single pass.