Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
Dealteam is an AI analysis tool for commercial real estate (CRE) acquisitions and investment teams. Its main entry point is not a traditional SaaS portal, but simply “forwarding a deal package email.” It can ingest OMs, rent rolls, T-12s, debt quotes, leases, and comps, then return an investment summary, risk flags, key assumptions, an initial underwrite, and a 5-tab Excel workbook.
Based on the information on the site, Dealteam feels more like an “AI junior analyst” than a general-purpose document assistant. It extracts property information, rent rolls, operating statements, debt terms, leases, and expense data, then generates investment metrics such as NOI, IRR, equity multiple, cap rate, cash-on-cash, and exit cap. It also outputs a risk register, lease rollover analysis, comps snapshot, and a draft IC memo. It supports asset types including Multifamily, Industrial, Office, Retail, Hospitality, and Self Storage. Its strength is that the output structure closely matches investment committee and acquisition screening workflows, and it claims that every output includes sources and footnotes for easier due diligence review.
The page does not disclose official pricing, plans, payment methods, or contract terms. Users can send a deal package to [email protected] for a trial; according to the official description, a written analysis and Excel file are returned in about five minutes. Sending from a work email automatically creates a private workspace and supports unlimited follow-ups. However, the copy does not clarify whether this is equivalent to a free usage allowance or whether there are any later restrictions.
The main advantage is its natural workflow: it fits directly into Outlook/Gmail email threads without requiring an additional portal. It also integrates with Excel, Salesforce, Dropbox, Drive, and Box, making it suitable for teams that already have established deal document workflows. On security, the page explicitly mentions encryption in transit and at rest, no training on customer data, tenant isolation, immutable audit logs, RBAC, and SSO/SAML. The limitations are also clear: it does not disclose the underlying model, accuracy metrics, or human review mechanisms. Complex financial assumptions, non-standard materials, and market judgment still need to be validated by experienced analysts.
Dealteam is best suited for real estate funds, acquisition teams, and investment managers that review deals frequently, especially for initial screening, first-draft underwriting, risk lists, and IC memo drafting. Chinese-language support is not mentioned, and both the site and examples are in an English CRE context. Network accessibility from mainland China, payment options, and local compliance support are all unknown. If you plan to process China-based assets or Chinese-language materials, you should carefully test parsing quality, cross-border data handling, and backup solutions.
⚠ 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 dealteam.org official site.
dealteam.org is an United States Real Estate provider. TG4G tracks its product information, an overall rating of 8.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach dealteam.org directly.