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Minervian AI
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About Minervian AI
Minervian AI is a platform that automates the underwriting process for commercial real estate deals. It accepts documents such as offering memorandums, rent rolls, PDFs, or screenshots, and uses AI to extract deal terms while proposing missing assumptions. A proprietary deterministic engine then generates complete monthly cash flow projections, returns, and investment-memo-ready tables. The system supports multiple asset classes including office, lab, industrial, retail, and multifamily, as well as development and portfolio deals. It handles lease-by-lease projections with renewals, expense recoveries, multi-tranche debt structures, and equity waterfalls. Users can interact with the AI assistant to edit inputs, flag gaps, and receive explanations of calculations. The platform exports results to Excel and is designed for institutional-grade complexity without requiring manual spreadsheet work.
Key features
- AI extraction from documents
- Lease-by-lease cash flow projections
- Multi-tranche debt modeling
- Equity waterfall with custom tiers
- Expense recoveries grossed up per tenant
- Portfolio-level assumption changes
- Development deal modeling with S-curve costs
- Excel export of investment-memo tables
Use cases
- Underwriting commercial real estate deals from offering memorandums
- Portfolio-level analysis with bulk assumption updates
- Development project cash flow modeling with construction financing
Pros
- AI-driven extraction and assumption generation
- Proprietary deterministic engine for consistent calculations
- Supports multiple asset classes and portfolio-level edits
- Handles complex structures like multi-tranche debt and equity waterfalls
- Exports to Excel with investment-memo-ready tables
Cons
- Free plan limited to 5 lifetime deals
- CRE Pro plan requires subscription at $25 per seat per month
- Token allowances reset monthly in CRE Pro plan
- No mention of API access or integrations
Frequently asked questions about Minervian AI
What is Minervian AI and what does it do?
Minervian AI is an end-to-end underwriting platform for commercial real estate that automates the process from document input to investment-memo-ready outputs. It reads offering memorandums, rent rolls, PDFs, or screenshots, extracts deal terms, proposes missing assumptions, and generates complete monthly cash flow projections, returns, and tables using a proprietary deterministic engine.
Who is Minervian AI designed for?
The platform is built for institutional-grade commercial real estate deals, including office, lab, industrial, retail, multifamily, development, and portfolio scenarios. It is intended for professionals who require detailed, defensible underwriting without manual spreadsheet work.
How does Minervian AI handle missing assumptions in documents?
The AI proposes missing assumptions across the entire model, marking which values were extracted from documents and which were filled in. It draws on market norms to suggest defensible figures and flags gaps or contradictions before generating outputs.
Can Minervian AI handle complex financial structures like multi-tranche debt and equity waterfalls?
Yes, the platform supports multi-tranche debt structures, including construction, bridge, permanent, and mezzanine loans, as well as customizable equity waterfalls with multiple classes, tiers, and hurdles. These structures are built and adjusted via plain-language instructions.
Does Minervian AI support portfolio-level underwriting?
Yes, it allows users to model multiple buildings and asset classes within a single deal. Changes to assumptions can be applied across an entire portfolio with a single instruction, saving significant time compared to manual adjustments.
How does Minervian AI differ from traditional CRE modelling software or general-purpose LLMs?
Unlike traditional software, Minervian AI automates assumption extraction and validation, reducing manual input time. Unlike general-purpose LLMs, it uses a fixed deterministic engine for calculations, ensuring consistent and traceable results, including complex structures like grossed-up recoveries and promote waterfalls.
