ARGUS Alternatives for Modern CRE Underwriting

Strengths

• One instruction runs the job end to end: it reads every document on the deal at once, the offering memo, the rent roll buried in a workbook tab, the T-12, the loan agreement, then normalizes the statements, builds the model, and stages the memo, with your analyst approving each consequential step. It is the difference between asking a question and getting back the workbook, memo, and record.
• Extraction built to survive committee questions: the rent roll comes out unit by unit with every figure traced to the exact file, sheet, and row or page, footed to the document’s own stated totals, and the T-12 lands on a standard expense set with an NOI bridge.
• The model is a real workbook, not an export: live formulas, no hardcodes, Base, Upside, and Downside re-priced off one switch, purpose-built per asset class, and where the firm attaches its own template it is filled in place with sheet structure, fonts, and number formats preserved.
• The work does not stop at the model: screening, IC, and credit memos in the firm’s house voice with every figure from the model or a cited document, closing reconciliation that writes the trued-up going-in basis back into the workbook, and an append-only asset-management record against the original underwrite.

Trade-offs

• The data source is the deal itself: drop any document in any format onto it, exactly as you would into a real deal folder, and Cap Orbit reads it, broker materials, lender PDFs, scanned pages, spreadsheets. There is no third-party comps database or research feed bundled in, so a team that leans on built-in comps will pair it with a data source.
• It is not a pipeline system of record: no contact management, broker relationship tracking, or deal-flow funnel.
• There is no self-serve signup. Pro puts funds and deal teams of up to 50 people up and running with live deals within 24 hours; Enterprise deploys into the firm’s own cloud account, with single sign-on and customer-held keys. The way in is a working session on one of your live deals.

Strengths

• Generates complete Excel workbooks from the deal documents themselves (offering memos, rent rolls, T-12s, appraisals), with citations down to the cell.
• Covers waterfall modeling, debt sizing, and LIHTC 4% and 9% tax-credit deals.
• The claimed scope runs wide, with extraction that reconciles conflicting source documents, IC memo generation, asset management, fund reporting, and lease analysis across multifamily, office, retail, logistics, and self-storage.

Trade-offs

• The public footprint is thin for the breadth claimed; much of the available detail comes from the vendor’s own site and its own comparison pages, so depth is best verified on your documents.
• Their public materials describe generated workbooks; nothing describes filling the firm’s existing house model in place.
• Nothing in their public materials describes closing work: abstracting the executed agreement or tying the settlement statement back to the contract and the loan.

Strengths

• Populates the firm’s existing proprietary Excel model with formulas preserved and cell-level source citations.
• Ingests offering memos, rent rolls, T-12s, and Yardi and RealPage exports; the vendor claims 4 to 8 hours of per-deal entry cut to under 30 minutes.
• Reaches past entry into automated workflow triggers and LOI drafts.

Trade-offs

• It presumes the firm’s model already exists and holds up; nothing in their public materials describes building an institutional model where the firm has none.
• Scope ends near the populated workbook: as of mid-2026 they do not advertise IC or credit memo drafting in the firm’s voice.
• Nothing public describes life after the underwrite: no closing reconciliation, no asset-management record, no portfolio read.

Strengths

• Fast parsing: a rent roll or T-12 parsed in-app in under 60 seconds into a populated model, with fewer than five manual adjustments on average, and an address-to-full-underwrite path of roughly 15 minutes drawing on more than 150,000 comparable properties.
• Market data lives in the product rather than beside it: rent and expense comps, an NOI estimate from an address alone, deal sourcing, and loan sizing for lenders.
• The Starter+ 2.0 model is a pre-built multifamily workbook: annual pro formas, dual loan modeling with refinancing, renovation scheduling, a four-tier waterfall, and a one-page output formatted for IC packets, auto-populated on open; a connector pushes the same parsed data into the firm’s own model.

Trade-offs

• Multifamily is the deep lane. Other property types were added for market research in 2022, and full underwriting depth outside multifamily is not documented.
• It does not write the narrative: the IC output is a one-page tab, not a memo in the firm’s voice, and neither closing deliverables nor asset-management features are documented beyond a stage label and a module name.
• It runs as a shared service; no dedicated or firm-isolated instance is documented, and parsed documents and deal data live in Archer’s environment.

Strengths

• The claimed lifecycle runs from document extraction through AI-assisted underwriting and modeling, investment and credit memo generation, portfolio monitoring, covenant tracking, and pipeline management.
• Customers include JLL, KeyBank, The RMR Group, and Tremont Realty Capital.
• Debt management and covenant tracking sit beside the investment workflows, with claimed analysis of more than a billion data points across more than 120 million U.S. properties.

Trade-offs

• Breadth over documented depth: the public materials list many functions with limited detail on each, so pressure-test the one workflow your team actually needs.
• Nothing in their public materials describes delivering the work in the firm’s own Excel format or house templates.
• As of mid-2026 they do not advertise a dedicated or firm-isolated deployment.