The Deal Graph
CREFI organizes everything around deals. A deal is the central workspace that ties together properties, stakeholders, financial data, and your analysis.Deals
Deals
A deal represents a potential or active transaction. It progresses through a lifecycle:Draft → Underwriting → Active → Closed → ArchivedEach deal contains properties, entities, uploaded documents, chat conversations, and workflow outputs.
Properties
Properties
Properties are the real estate assets tied to a deal. Each property has:
- Address and geographic data
- Property type (multifamily, office, retail, industrial, etc.)
- Key metrics (units, square footage, year built)
- Photos and associated documents
Entities
Entities
Entities are the people and organizations involved in a deal:
- Buyers and Sellers
- Investors and Lenders
- Tenants
- Builders and Developers
Transactions
Transactions
Transactions are financial events associated with a deal:
- Purchases and sales
- Leases
- Loans and refinancing
Documents and Files
CREFI processes the documents you upload so the AI can reference them in conversations:| File Type | What CREFI Extracts |
|---|---|
| PDF (offering memos, appraisals) | Full text, tables, and key data points |
| Excel (rent rolls, T-12s, models) | Cell data, formulas, sheet structure |
| Images (property photos) | Associated with properties for reference |
Workflows
Workflows are guided, multi-step processes that help you complete complex tasks. Instead of free-form chatting, workflows walk you through structured inputs and produce specific outputs. CREFI currently offers two workflows:Underwriting
Takes your property data, assumptions, and financial documents to produce a populated underwriting model.
Investment Memo
Generates a comprehensive investment memorandum with sections like executive summary, market analysis, and financial analysis.
Assumption Templates
Assumption templates are reusable sets of underwriting assumptions (growth rates, cap rates, expense ratios, hold periods, etc.) that you can apply to deals. This lets you standardize your analysis across your team while still adjusting assumptions per deal.Memory
CREFI learns from your conversations. When it encounters valuable insights, preferences, or data points, it can store them in its memory. This means:- The AI remembers context from past conversations
- Analysis quality improves over time as it accumulates knowledge about your deals and preferences
- You can view and manage stored memories from the Memory page