Your Multifamily
Analyst, Unleashed.

Slung's AI reads and extracts every line item from your T12s and rent rolls — regardless of format or property management system (Yardi, RealPage, AppFolio, Entrata, MRI, Rent Manager, or custom exports). It identifies income, expenses, unit mixes, lease terms, vacancy, and rent schedules, then automatically reclassifies everything into standardized institutional categories for apples-to-apples comparisons. Extraction takes seconds. You can review, edit, and override any categorization before running your analysis.

Yes. It takes about 3 minutes to analyze a deal with Slung, from upload to complete underwriting model. That includes AI extraction, expense reclassification, market benchmarking against 200,000+ properties, rent comp analysis, and NOI optimization. Manual Excel underwriting typically takes 2–4 hours per deal. Slung's speed lets high-volume teams screen their entire pipeline — not just the deals that land on the right desk at the right time.

Slung accepts Excel (.xlsx, .xls), CSV, and PDF formats. Documents can come from any major property management system — Yardi, RealPage, AppFolio, Entrata, MRI, Rent Manager, and more. No need to reformat or clean files before uploading. Slung's AI handles inconsistent layouts and non-standard categorizations automatically. Just drag and drop or upload from your file explorer.

Static spreadsheets require hours of manual data entry and lack live market context. Slung extracts data from your documents instantly, highlights expense anomalies against market benchmarks, provides live rent and sale comps, and lets you share dynamic models with your team or investors. When you're ready, export a fully institutional-grade Excel workbook for offline work. You get the speed of automation with the flexibility of a spreadsheet.

Slung benchmarks every expense category against 20,000+ comparable properties matched by size, vintage, and location. For each line item — admin, utilities, R&M, insurance, payroll, marketing, taxes — you see your per-unit spend vs. market average and the percentage variance. This instantly reveals where a property is overspending (value-add opportunity) and where it's already lean — actionable signals for your operating strategy before you even tour the property.

Yes. Slung automatically generates rent comp analysis with an interactive map showing comparable properties, current rents, price per square foot, unit mix, and proximity. For each unit type, you see current rent vs. market rents and comps — instantly identifying loss-to-lease opportunities and validating broker assumptions.

Yes. Slung uses AES-256 encryption at rest and TLS 1.2+ encryption in transit — the same standards used by major financial institutions. We are actively pursuing SOC 2 Type II certification and follow strict access controls, audit logging, and data isolation practices. Your deal data is never shared with other users or used to train models.