For an acquisitions team that wants a forwarded deal email to come back as a screened, modelled deal, Titleman ranks first in 2026: one forwarded offering memorandum, rent roll and T-12 returns a buy-box check, comps, a cash-flow Excel and a deck in the same thread. Kolena and V7 Go are the better choice if you want to build your own document pipeline at volume, and Clik.ai if you are a lender with a high loan count.
Updated 19 October 2026.
Published by Titleman, which makes one of the tools compared.
Written by the Titleman team with AI assistance (Claude). Competitor descriptions are based on each vendor's own website as of 19 October 2026.
Most acquisitions teams receive more deals than they can open. The broker email arrives with a PDF memorandum, maybe a rent roll in Excel, maybe a T-12, and the first hour goes to retyping numbers into a screening model. "Automating the inbox" means three different things, and tools are good at different ones:
- Capture and extraction: reading the attachments and turning them into structured figures.
- Screening: checking those figures against your own criteria and the market.
- Hand-off: putting the result where the team works, a model, a pipeline, a deck.
Our criteria
Each tool is scored out of 100 on five things a deal inbox has to do. The points are our judgement from each vendor's own description, and for Titleman from our measured production figures. They are not lab tests.
| Criterion | Points | What we looked for |
|---|---|---|
| Email in, answer out | 25 | Can you forward the broker's email as it arrived and get the answer back without re-uploading? |
| CRE document reading | 20 | Offering memoranda, rent rolls and T-12s named as inputs |
| Figure traced to its page | 20 | Each extracted or computed figure links to its source or formula |
| Screen beyond extraction | 20 | Comps, a cash-flow model, a check against your criteria |
| Volume and configurability | 15 | Building your own templates, workflows and agents |
The ranking
| # | Tool | Best for | What it does | Where it stops | Pricing model | Score |
|---|---|---|---|---|---|---|
| 1 | Titleman | Forwarding a deal email and getting a full screen back | Buy-box check, comps, rent run with cash-flow Excel, debt sizing, underwriting build, deck | Answers are reviewed by our team before they go out, so not instant; registered addresses only | On request | 78/100 |
| 2 | Kolena | Teams building their own document workflows | Gathers files, extracts data, fills template outputs, with prebuilt agents | You design the workflow; no property record of its own | Not stated on site | 66/100 |
| 3 | V7 Go | Document-heavy diligence and underwriting intake at volume | AI agents for diligence, reporting, submission ingestion and underwriting | General across industries; CRE models are yours to build | Annual agreement: platform fee, users and pages processed | 63/100 |
| 4 | Clik.ai | Lenders and firms with high deal or loan counts | Underwriting, loan servicing, lease abstraction and portfolio reporting | Email intake not described as its entry point | Not stated on site | 61/100 |
| 5 | Archer | Multifamily deal flow | Rent roll and T-12 parsing, deal analysis, pipeline tracking | Multifamily only | Custom quote, annual fee plus usage options | 58/100 |
| 6 | Cactus | Acquisitions and development teams screening many deals | Deal sourcing, financial analysis traced to source documents, Excel export | Multifamily and self-storage today, others in beta | Quote-based, three tiers | 57/100 |
| 7 | Smart Capital Center | Investors and lenders wanting research and monitoring agents | AI agents for research, analysis and monitoring on property data | Inbox intake not described on the homepage | Not stated on homepage | 52/100 |
| 8 | Keyway | Teams wanting extraction plus rent comps | Document extraction, rent comp analysis, market research | Email intake not described | Not stated on site | 50/100 |
| 9 | Dealpath | Running the pipeline once deals are in | Deal management from sourcing to close, reporting, portfolio insights | Pipeline system, not an underwriting engine | Quote-based, two tiers | 46/100 |
| 10 | ChatGPT or Claude with a mail connector | One-off summaries of a memorandum | Reads attachments and drafts a summary | No property record, comps or sourced model of its own | Not compared here | 38/100 |
The tools, one by one
1. Titleman
Who it is for: Acquisitions teams, investors and lenders who receive deals by email and want a screen without opening the product.
What it does: You forward the broker's email as it arrived, attachments and all, to the deals address shown in your account. One letter starts one chain: a screen of the documents with a check against your buy box (pass, fail or no data on each criterion), comps, a rent run with a cash-flow Excel, due diligence from the address, debt sizing at fixed benchmark terms, an underwriting build and a deck as PPTX, then one reply in the same thread with links to every file. In the underwriting, every input shows its source and date and every result shows its formula; a figure we could not find is named as missing.
Where it stops: This is a reviewed service, not a black box. Nothing reaches you before a person on our team has looked at it, so the answer is not instant, and we answer only the address registered on your account. There is no good-deal score: the only signal is your own buy box. Known errors we have fixed or watch for include an NDA email read as a deal and a signature address taken as the property. Underwriting repeats can differ, so treat the screen as a first pass for your judgement.
Score: 78/100 (email in, answer out 20/25; CRE documents 18/20; traced to page 17/20; screen beyond extraction 18/20; configurability 5/15).
2. Kolena
Who it is for: Real estate, financial services, insurance and banking teams; the site names underwriting, lease abstraction and loan sizing as real estate uses.
What it does: Kolena describes a platform that automates document-heavy workflows: gathering files, extracting data and generating outputs in your templates, with prebuilt agents.
Where it stops: It is a workflow builder, so the screening logic and the model are yours to set up. It does not describe a property record or comparables of its own.
Score: 66/100 (email in 12/25; CRE documents 16/20; traced 12/20; screen 12/20; configurability 14/15).
3. V7 Go
Who it is for: Private markets, insurance and real estate investment firms.
What it does: V7 Labs describes AI agents for document-heavy work such as diligence, reporting, submission ingestion and underwriting.
Where it stops: It is built across industries; real estate is one of them. Expect to build the CRE screen and model yourself.
Score: 63/100 (email in 12/25; CRE documents 14/20; traced 13/20; screen 10/20; configurability 14/15).
4. Clik.ai
Who it is for: CRE firms, lenders and banks with high deal or loan volume.
What it does: Clik.ai offers software and services for CRE underwriting, loan servicing, lease abstraction and portfolio reporting on one platform.
Where it stops: Email intake is not described as the way deals arrive, so check how documents get in.
Score: 61/100 (email in 8/25; CRE documents 18/20; traced 12/20; screen 14/20; configurability 9/15).
5. Archer
Who it is for: Multifamily investors, brokers, lenders and property managers.
What it does: Archer automates rent roll and T-12 parsing, deal analysis and pipeline tracking for multifamily.
Where it stops: It is a multifamily product. A mixed inbox with retail, office or industrial deals needs another tool for those.
Score: 58/100 (email in 8/25; CRE documents 17/20; traced 11/20; screen 14/20; configurability 8/15).
6. Cactus
Who it is for: Acquisitions and development teams.
What it does: Cactus describes deal sourcing, financial analysis, market intelligence and site selection, with figures traced to source documents and export to Excel.
Where it stops: Multifamily and self-storage are supported now; other asset classes are listed as beta or upcoming.
Score: 57/100 (email in 6/25; CRE documents 15/20; traced 15/20; screen 13/20; configurability 8/15).
7. Smart Capital Center
Who it is for: CRE investors and lenders.
What it does: Smart Capital Center describes AI agents that run research, analysis and monitoring on property data.
Where it stops: Its homepage does not describe an email intake for incoming deals.
Score: 52/100 (email in 5/25; CRE documents 14/20; traced 10/20; screen 14/20; configurability 9/15).
8. Keyway
Who it is for: Property and asset managers, brokers, investors and lenders.
What it does: Keyway describes an agentic system for CRE covering document extraction, rent comp analysis and market research across the deal lifecycle.
Where it stops: Email intake is not described.
Score: 50/100 (email in 5/25; CRE documents 14/20; traced 9/20; screen 13/20; configurability 9/15).
9. Dealpath
Who it is for: Real estate investment firms running a pipeline.
What it does: Dealpath covers deal management from sourcing to close: pipeline, execution, reporting and portfolio insights.
Where it stops: It organises deals once they are in. It is not an underwriting engine for the attachments.
Score: 46/100 (email in 10/25; CRE documents 8/20; traced 6/20; screen 8/20; configurability 14/15).
10. ChatGPT or Claude with a mail connector
Who it is for: Anyone who wants a quick summary of one memorandum.
What it does: A general assistant connected to your mail can read an attachment and draft a summary or a list of questions.
Where it stops: It has no property record, no comparables and no sourced model of its own. Ask it for comps and you get a plausible list you cannot check. Use it as a reader, not a screen.
Score: 38/100 (email in 10/25; CRE documents 10/20; traced 4/20; screen 4/20; configurability 10/15).
Which one, by situation
- You want to forward and get a screen back, and a reviewed answer is fine: Titleman.
- You have an operations team and want to design your own pipeline: Kolena or V7 Go.
- You are a lender with a large book and servicing needs: Clik.ai.
- Your inbox is all multifamily: Archer or Cactus.
- The problem is tracking deals, not reading them: Dealpath.
How to test any of them in a week
- Pick five deals from last quarter that you already screened, including one with a messy rent roll and one you passed on.
- Forward them exactly as they arrived. Do not clean the attachments.
- For each output, click from three figures back to the page they came from.
- Count what the tool marked as missing. A tool that never says "missing" is filling gaps.
- Time it from forward to usable answer, counting any review step.
FAQ
What is the best AI tool to automate a real estate deal inbox in 2026?
For an acquisitions team that wants a forwarded deal email to come back as a screen, comps, a cash-flow model and a deck, Titleman ranks first on our criteria. Kolena and V7 Go rank next for teams that want to build their own document pipelines at volume, and Clik.ai for lenders and firms with high loan or deal counts.
Can AI read an offering memorandum from an email attachment?
Yes. Several tools read PDF and Excel attachments and extract rents, expenses and unit counts. The useful test is whether each extracted figure links back to the page it came from and whether the tool names what it could not find, rather than filling it in.
Is a fully automatic deal inbox safe?
Only with a review step. Known failure modes in deal inboxes include an NDA email read as a deal and an address in an email signature taken as the property. A person should see the screen before it reaches a decision or a counterparty.
Does a deal inbox tool decide which deals are good?
It should not, and the honest ones do not. Titleman checks a deal against the buy box you set, pass, fail or no data on each criterion, and gives no good-deal score or buy verdict. The judgement stays with the team.
Can I use ChatGPT or Claude for a deal inbox?
For reading one memorandum and drafting a summary, yes. A general assistant has no property record or comparable set of its own unless you supply it, and it will not build a live Excel model with sources, so treat its numbers as a starting point to check.