Slung is an AI underwriting platform built for multifamily investors and brokers. Its goal is to quickly turn transaction documents such as rent rolls, T-12s, and offering memoranda into “decision-ready” institutional-grade underwriting models. It is not positioned as a general-purpose spreadsheet tool; instead, it automates workflows around multifamily acquisition screening, broker listing support, and deal analysis.
The platform supports uploads in PDF, XLSX, XLS, and CSV formats, and says it can process files from property management systems such as Yardi, RealPage, AppFolio, Entrata, MRI, and Rent Manager, as well as custom exports. Its AI extracts income, expenses, unit mix, leases, vacancy, and rent schedules, then reclassifies expenses into institutional line items. On the analysis side, it includes benchmarks for 200,000+ properties, expense benchmarking against 20,000+ comparable properties, real-time rent and sales comps, anomaly detection, and NOI optimization. Results can be viewed and shared dynamically on the web, or exported as institutional-grade Excel models, which makes it a good fit for investment teams that still rely on Excel for review and approval.
The crawled page explicitly mentions $99/month, cancel anytime, along with a 14-day free trial that does not require a credit card. The Pricing page itself requires users to create an account and choose a plan, and does not disclose the full package structure, seat limits, project limits, enterprise pricing, or overage fees. Buyers should therefore confirm the actual usage limits before purchasing.
For collaboration, the site mentions “Collaborate & Share,” allowing dynamic models to be shared with teams or investors. Its terms also cover user accounts and login credential management, but there is no visible mention of granular permissions, SSO, or approval workflows. On security, Slung discloses AES-256 encryption at rest, TLS 1.2+ encryption in transit, access controls, audit logs, and data isolation, and says it is working toward SOC 2 Type II. One point to note is that the terms indicate customer data from non-enterprise or non-paid tiers may be used to improve the service and train its own AI, even though the FAQ says transaction data is not used to train models. In practice, this should be verified against the order form and enterprise terms.
Its strengths are a clearly defined vertical use case, fast onboarding, reduced manual data entry, and the ability to embed market comps and expense benchmarks directly into underwriting models. Its limitations are a relatively narrow asset-type focus, unclear full commercial terms and API capabilities, and security certifications that are still in progress. Slung is best suited for U.S. multifamily investment firms, acquisition analysts, and broker teams handling high-frequency deal screening. It is less suitable for teams that need China-local data sources, private deployment, or cross-asset-class modeling.
The crawled content does not provide information on China network accessibility, RMB payment, invoices, or local customer support, so china_access can only be assessed as unknown. Chinese users dealing with domestic real estate data, compliance requirements, and access stability may want to evaluate local investment research systems, BI + Excel self-built models, or alternatives that can provide private deployment and local data sources.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on slung.com official site.
slung.com is an United States SaaS Tools provider. TG4G tracks its product information, with monthly pricing from $99.00, an overall rating of 8.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach slung.com directly.