Apers vs. Cactus

Overview

Cactus is an AI-driven underwriting platform for commercial real estate, with particular strength in multifamily analysis. Like Apers, Cactus was built with AI at the core rather than bolting AI onto legacy software. Both tools aim to accelerate the underwriting process — from document intake through financial modeling.

This is a closer comparison than most on this site. Cactus and Apers are both AI-native CRE tools building in the same direction. The differences are in scope, depth across deal structures, and output format. We'll be specific about where we think each tool has advantages — and transparent about where we have limited visibility into Cactus's current capabilities.

Feature Comparison

Table 1 — Comparison based on publicly available information. Cactus's capabilities may have expanded since our last review — test both tools with your own deals.

Modeling Depth

The key question for any AI underwriting tool is how deep the modeling goes. Surface-level metrics — cap rate, NOI, basic returns — are straightforward. The complexity that separates institutional-grade tools shows up in specific areas:

• Waterfall distributions. A two-tier promote with an 8% preferred return, catch-up provision, and 70/30 split above a 12% IRR hurdle. Does the tool model accrual correctly? Does it handle the boundary conditions — what happens at exactly the preferred return?
• Multi-tranche debt. Senior debt sized by LTV, DSCR, and debt yield. Mezzanine with an interest reserve. Preferred equity with an IRR-based return. C-PACE layered on the capital stack. Does the model calculate blended cost of capital?
• Tax credits. A 4% LIHTC deal with tax-exempt bonds has a fundamentally different model structure than a market-rate acquisition. Eligible basis, applicable fraction, credit delivery schedule, investor pay-in structure — these require specialized modeling, not general-purpose templates.
• Development pro formas. Construction draws on a monthly schedule, interest carry during construction, lease-up curves by unit type, stabilization timing, and permanent financing takeout. Structurally different from acquisition underwriting.

We believe Apers covers these scenarios more comprehensively based on our growing collection of institutional model templates and the XL-2 engine's ability to generate deal-type-specific Excel workbooks. But we encourage you to test both tools with a deal that includes at least one of these complex structures — the output will demonstrate each tool's depth more clearly than any comparison table.

When Cactus Wins

• Multifamily focus. If your firm exclusively underwrites market-rate multifamily acquisitions and doesn't need LIHTC, development, or complex capital structure modeling, Cactus may be a strong fit for your specific workflow.
• Platform-native experience. If you prefer working within a platform's native interface rather than in Excel, Cactus's approach may suit your team's workflow preferences.
• Established workflow. If your team is already using Cactus and it handles your deal types well, the switching cost of changing tools should be weighed against the incremental benefit.

When Apers Wins

• Deal type diversity. If your firm models multifamily, office, industrial, LIHTC, development, and mixed-use, Apers covers the full range for teams focused on deal underwriting from a single growing collection of institutional templates.
• Excel as the deliverable. If your IC, LPs, and lenders expect native Excel workbooks they can open, audit, and modify, Apers's .xlsx output with live formulas is the right format.
• Complex capital structures. Multi-tranche debt, preferred equity with IRR lookback, GP co-invest, multiple LP classes — Apers models these as core capabilities, not edge cases.
• Tax credit underwriting. LIHTC 4% and 9%, NMTC, Historic Tax Credits. These require specialized model templates that Apers provides.
• Document reconciliation. Cross-document reconciliation — flagging when the rent roll and T-12 disagree — is built into Apers's document pipeline.

How to Evaluate

Run this test with both tools:

1. Pick a real deal your team underwrote recently — ideally something with a waterfall or complex debt structure.
2. Upload the same documents to both tools. Time the process from upload to completed model.
3. Compare the outputs: formula integrity, tab structure, waterfall accuracy, debt sizing, sensitivity tables.
4. If you do affordable housing, test a LIHTC deal. This immediately reveals the depth of each tool's deal structure knowledge.

Both Apers and Cactus offer trial access. Use it with your own deals and your own documents — the output will tell you more than any comparison page. For a broader view of how Apers compares across the CRE AI landscape, see our full comparison overview or our guide to the best AI for CRE underwriting.