Primer vs Cactus
Compare Primer and Cactus for AI CRE underwriting: exact model mapping, workflow depth, source review, pipeline records, and acquisition memory.
Acquisition run
Read -> Map -> Review -> Record -> Reuse
Your model stays intact
Sources stay reviewable
Every run builds memory
In Brief
Primer and Cactus both support AI-assisted CRE underwriting. Primer is designed around acquisition agents that fit the team's existing model, source review, custom fields, pipeline records, and acquisition memory. Cactus is generally positioned around faster deal modeling and underwriting analysis.
Do not compare AI underwriting tools only on extraction speed. Compare whether they fit your operating model: the workbook, review trail, custom fields, source documents, pipeline, and future comp database.
Primer is built for teams that want an AI acquisition system around their process, not a standalone calculator or generic underwriting interface.
Workflow
A connected acquisition run from source material to reviewable deal intelligence.
Read
Map
Review
Record
Reuse
How to compare
Primer
Acquisition workflow
Exact model, records, source review, custom fields, memory
Cactus
AI underwriting software
Public positioning focuses on modeling CRE deals quickly
Manual workflow
Analyst-owned
Full flexibility but high repeated effort
FAQ
Primer is an alternative for teams evaluating AI CRE underwriting tools, especially when exact model mapping and acquisition workflow depth matter.
Ask whether the tool works with your actual Excel model, cites source documents, handles conflicting source data, and creates reusable deal records.
Because the cost is not only data entry. The real cost is rebuilding context across documents, models, pipeline records, and future comps.