An agent takes a brief and returns finished work; an assistant answers a question. On five stated tests, V7 Go ranks first of eight as a builder of document agents, and Titleman (our product) ranks second for agent work on one specific property: an address in, a sourced underwriting, comps, value opinion or feasibility package out. Kolena, Cactus, Claude, Juniper Square, Smart Capital Center and Dealpath each fit a narrower job.
Published by Titleman, which makes one of the tools compared. Updated 19 October 2026. Every vendor is described from its own site as read on 19 October 2026; the scores count what a page states, not how well a tool works.
Agent or assistant: what the word has to mean
An agent is handed a task, runs the steps (reads the files, pulls the data, builds the output) and returns a work product you can open. For the wider map by job, see AI tools for commercial real estate.
Scoring the eight
Yes counts 1, Partly 0.5, not stated 0. Each test is scored from the vendor's own page.
- A. Agents: the page names AI agents or an agent builder.
- B. Work product: the page names a finished output, such as a model, memo, abstract or report.
- C. Source trace: the page says outputs cite a source document or data point.
- D. Editable output: it produces Excel, PowerPoint, Word or similar files you can change.
- E. Connections: Yes if it names both AI-assistant connections (MCP) and business systems; Partly if only one.
| Tool | A | B | C | D | E | Score |
|---|---|---|---|---|---|---|
| V7 Go | Yes | Yes | Yes | Yes | Yes | 5 |
| Titleman | Yes | Yes | Yes | Yes | Partly | 4.5 |
| Kolena | Yes | Yes | Yes | Partly | Partly | 4 |
| Cactus | Partly | Yes | Yes | Yes | No | 3.5 |
| Claude | Partly | Yes | No | Yes | Partly | 3 |
| Juniper Square | Yes | Yes | No | No | Partly | 2.5 |
| Smart Capital Center | Yes | Partly | No | No | Partly | 2 |
| Dealpath | Partly | Partly | No | No | Partly | 1.5 |
Equal scores are listed alphabetically. Claude is Partly on E because its page names connectors to apps but no commercial real estate systems. Titleman is Partly on E because the AI-assistant connector and file in and out are live, while other system connections are set up with our team at the start.
The eight compared
| Tool | Best for | What it does | Where it stops | Pricing model |
|---|---|---|---|---|
| V7 Go | Building document agents | Agent library for deal analysis, lease abstraction, zoning and BOV tasks; cited outputs | You supply the documents and data sources | Pricing page; no figures on the page |
| Titleman | One property, address to package | Passport, comps, underwriting, value opinion, feasibility; Excel and deck on most runs | No lease-by-lease institutional model; no fund operations | Ask in a demo |
| Kolena | Lease and diligence documents | Document workflows with cited extraction | Formats of exports not stated | Trial offered; no prices |
| Cactus | Multifamily and self-storage models | Line items linked to sources, Excel export | Other asset classes in beta | Pricing page; no figures |
| Claude | General work in files | Spreadsheets, slides, scheduled tasks | No CRE data or source trace stated | Personal, team and enterprise plans |
| Juniper Square | Fund operations | Agents for investor relations and finance | Not a property analysis tool | Demo; no published prices |
| Smart Capital Center | Lenders and investors in one system | Always-on agents for research and monitoring | Output formats not stated | Demo; no figures on page |
| Dealpath | Deal pipeline | Deal management with AI questions and an MCP link | Output formats not stated | Plans page; no figures |
The ranked list
1. V7 Go: best for building your own document agents
V7 Go's real estate page lists agents for contract audit, deal agreement analysis, tear sheets, zoning code analysis, portfolio monitoring and broker opinion of value, with citations to the source page. It accepts PDF, DOCX, XLSX and CSV, lists an MCP server, and describes a pilot on your documents.
- Choose it instead of Titleman if you want to design agents around your own documents and data sources.
2. Titleman: best for one property, from address to package
Titleman describes agents that finish the job: one brief, then the work. It offers 337 workflows by role, and from an address it can return a property passport, comps, underwriting, a value opinion or a feasibility study, with every figure traced to its source or formula and gaps named. Outputs usually come as Excel and PDF or deck, though not every run returns a workbook; BOV at scale takes up to 100 addresses per run. It connects to AI assistants over MCP (see connect to Claude) and has a property-linked pipeline.
- Where it stops: no lease-by-lease institutional modeling, no fund accounting, and no final price or buy or sell verdict in the text.
- Choose something else if your core system is a deal pipeline or a fund system.
3. Kolena: best for lease and diligence documents
Kolena says its agents run document workflows end to end, from pulling files out of Drive, SharePoint or email to extraction with citations and confidence scores, then export to a destination you define. Its page names Yardi, Box, SharePoint, OneDrive and Excel.
- Choose it instead if the work is leases, rent rolls and compliance files at volume.
4. Cactus: best for multifamily and self-storage models
Cactus extracts line items, links each to its source document or market data, and exports Excel with formulas intact. Its Agent Builder for approval-gated tasks is early access; other asset classes are in beta.
- Choose it instead if you underwrite multifamily or self-storage acquisitions or new development.
5. Claude: best general assistant for files
Claude's page describes real files (documents, spreadsheets and slides), connectors including MCP apps, and recurring scheduled work. It states no commercial real estate data or source trace.
- Choose it instead if you want one assistant across all work. Titleman's connector runs inside it.
6. Juniper Square: best for fund operations
Juniper Square describes a fund operating system with agents for investor relations and finance and a headless version for Claude, Copilot, ChatGPT and other MCP clients.
- Choose it instead if you are a GP running investor reporting and fund administration.
7. Smart Capital Center: best for lenders and investors in one system
Smart Capital Center says always-on AI agents work like originators, underwriters, asset managers and analysts, and names Yardi, SS&C Precision and Midland Enterprise.
- Choose it instead if one shared system from origination to monitoring is the priority.
8. Dealpath: best for the deal pipeline
Dealpath is deal management for investment firms, with Dealpath AI for questions about deals and an MCP connection to Claude, ChatGPT or Copilot.
- Choose it instead if the pipeline and the investment record are the system you need first.
A test to run on any agent
Give each tool the same brief on a property you know. Check that every number opens to a source, gaps are named, and the output is editable. Run it twice.
What Titleman does not replace
Titleman does not replace a licensed appraisal, an engineer, an attorney or a title search, or lease-by-lease institutional modeling. Its value opinion is an indicated value for review.
FAQ
What is the best AI agent for commercial real estate in 2026?
It depends on the job. On our five tests V7 Go ranks first as a builder of document agents, and Titleman (our product) ranks second for work on one specific property, from an address to a sourced underwriting, comps, value opinion or feasibility package. Kolena fits lease and diligence documents, Cactus fits multifamily and self-storage models, and Juniper Square fits fund operations.
What is the difference between an AI agent and a chatbot like Claude?
A chat assistant answers the question you type. An agent takes a brief, works through the steps, and returns a finished file such as a model, memo or abstract. Claude can do both: it creates spreadsheets and slides and can run recurring tasks, but its page does not describe commercial real estate data or source tracing.
Can an AI agent underwrite a deal on its own?
It can assemble the inputs and draft the model, but a person should review it. At Titleman, underwriting is of the property, not the borrower, every figure is traced to its source or formula, gaps are named instead of filled, and a repeat run can differ, which is why, on about half of runs, the model also comes as a live Excel workbook you can check; if you need a model you can open, run Excels, the product built to return one.
Do I need my own data behind an agent?
Some agents work only on the documents and data you connect, as V7 Go and Kolena describe. Others bring their own market or property data, as Smart Capital Center and Cactus describe. Titleman starts from an address and 2,100+ sources, and also reads the files you send, such as rent rolls, T-12s and Excel models up to 40 MB.
Does Titleman replace an appraisal?
No. Titleman returns a value opinion or BOV with its sources and formulas, not a licensed appraisal. If a lender or a court requires an appraisal, a licensed appraiser still signs it.
Sources
Read on 19 October 2026: v7labs.com, kolena.com, kolena.com real estate, trycactus.com, claude.com, junipersquare.com, smartcapitalcenter.com, dealpath.com, titleman.ai, titleman.ai/workflows. Request a demo with an address you know.