Underwrite deals 95% faster

AI Real Estate Cash Flow Modeling Agent

Go from rent roll to cash flow model, instantly

Delegate the most tedious task in real estate analysis to a specialized AI agent. It reads your rent rolls, leases, and operating statements, extracts all key inputs, and automatically builds a complete cash flow model in your firm's proprietary Argus or Excel template.

Ideal for

Acquisitions Teams

Asset Managers

Brokers & Appraisers

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See AI Real Estate Cash Flow Modeling Agent in action

Play video

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    Alaris logo
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See AI Real Estate Cash Flow Modeling Agent in action

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  • Mercedes-Benz logo
    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI Real Estate Cash Flow Modeling Agent in action

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New Deal Underwriting

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    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI Real Estate Cash Flow Modeling Agent in action

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Time comparison

Time comparison

Traditional way

1-2 days per model

With V7 Go agents

20-30 minutes

Average time saved

95%

Why V7 Go

Why V7 Go

Automated Rent Roll Abstraction

Reads any rent roll, no matter the format, to extract all tenant data: lease dates, square footage, base rent, steps, expense reimbursements, and options.

Automated Rent Roll Abstraction

Reads any rent roll, no matter the format, to extract all tenant data: lease dates, square footage, base rent, steps, expense reimbursements, and options.

Automated Rent Roll Abstraction

Reads any rent roll, no matter the format, to extract all tenant data: lease dates, square footage, base rent, steps, expense reimbursements, and options.

Automated Rent Roll Abstraction

Reads any rent roll, no matter the format, to extract all tenant data: lease dates, square footage, base rent, steps, expense reimbursements, and options.

Operating Statement Spreading

Extracts and standardizes historical income and expense data from property operating statements to build a clear picture of the property's historical NOI.

Operating Statement Spreading

Extracts and standardizes historical income and expense data from property operating statements to build a clear picture of the property's historical NOI.

Operating Statement Spreading

Extracts and standardizes historical income and expense data from property operating statements to build a clear picture of the property's historical NOI.

Operating Statement Spreading

Extracts and standardizes historical income and expense data from property operating statements to build a clear picture of the property's historical NOI.

Lease Document Analysis

Goes beyond the rent roll to read the actual lease agreements, extracting critical clauses like termination options, expense caps, and co-tenancy that impact cash flow.

Lease Document Analysis

Goes beyond the rent roll to read the actual lease agreements, extracting critical clauses like termination options, expense caps, and co-tenancy that impact cash flow.

Lease Document Analysis

Goes beyond the rent roll to read the actual lease agreements, extracting critical clauses like termination options, expense caps, and co-tenancy that impact cash flow.

Lease Document Analysis

Goes beyond the rent roll to read the actual lease agreements, extracting critical clauses like termination options, expense caps, and co-tenancy that impact cash flow.

Argus & Excel Template Population

Eliminates manual data entry by populating all the extracted rent roll and operating data directly into your firm's custom Argus Enterprise or Excel valuation models.

Argus & Excel Template Population

Eliminates manual data entry by populating all the extracted rent roll and operating data directly into your firm's custom Argus Enterprise or Excel valuation models.

Argus & Excel Template Population

Eliminates manual data entry by populating all the extracted rent roll and operating data directly into your firm's custom Argus Enterprise or Excel valuation models.

Argus & Excel Template Population

Eliminates manual data entry by populating all the extracted rent roll and operating data directly into your firm's custom Argus Enterprise or Excel valuation models.

Value-Add Opportunity ID

By comparing in-place rents from the rent roll to market data, the agent can automatically flag potential value-add opportunities from marking leases to market.

Value-Add Opportunity ID

By comparing in-place rents from the rent roll to market data, the agent can automatically flag potential value-add opportunities from marking leases to market.

Value-Add Opportunity ID

By comparing in-place rents from the rent roll to market data, the agent can automatically flag potential value-add opportunities from marking leases to market.

Value-Add Opportunity ID

By comparing in-place rents from the rent roll to market data, the agent can automatically flag potential value-add opportunities from marking leases to market.

Cited & Auditable Models

Build models you can trust. Every single input—from a tenant's rent to an operating expense line item—is visually linked back to its source in the original document.

Cited & Auditable Models

Build models you can trust. Every single input—from a tenant's rent to an operating expense line item—is visually linked back to its source in the original document.

Cited & Auditable Models

Build models you can trust. Every single input—from a tenant's rent to an operating expense line item—is visually linked back to its source in the original document.

Cited & Auditable Models

Build models you can trust. Every single input—from a tenant's rent to an operating expense line item—is visually linked back to its source in the original document.

Extracts all key inputs from your property documents

To automatically build a complete and accurate cash flow model.

Get started

Get started

Import your files

Argus Enterprise

,

Microsoft Excel

,

Yardi

Import your files from whereever they are currently stored

Customer voices

Customer voices

Connect AI to your deal documents and your models.

Connect AI to your deal documents and your models.

Free your analysts to underwrite deals, not just type them.

Free your analysts to underwrite deals, not just type them.

Finance

Legal

Insurance

Tax

Real Estate

Finance

Legal

Insurance

Tax

Real Estate

Finance

Legal

Insurance

Tax

Real Estate

Customer Voices

Industrial equipment sales

We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.

Read the full story

Industrial equipment sales

We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.

Read the full story

Insurance

We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.

Read the full story

Insurance

We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.

Read the full story

Real Estate

Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.

Read the full story

Real Estate

Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.

Read the full story

Features

Features

Results you can actually trust.
Reliable AI document processing toolkit.

Results you can trust.
Trustworthy AI document processing toolkit.

Works with any deal.

And any template.

The agent is built for the messy reality of real estate data. It ingests data from any source—from scanned rent rolls to PDF operating statements—and populates it into your firm's proprietary Argus or Excel templates.

Input types

Argus & Excel

Non-Standard Rent Rolls

Complex Tables

Multi-modal

Document types

PDFs

Excel (.xlsx)

Scans

Floor Plans

Leases

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Works with any deal.

And any template.

The agent is built for the messy reality of real estate data. It ingests data from any source—from scanned rent rolls to PDF operating statements—and populates it into your firm's proprietary Argus or Excel templates.

Input types

Argus & Excel

Non-Standard Rent Rolls

Complex Tables

Multi-modal

Document types

PDFs

Excel (.xlsx)

Scans

Floor Plans

Leases

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Works with any deal.

And any template.

The agent is built for the messy reality of real estate data. It ingests data from any source—from scanned rent rolls to PDF operating statements—and populates it into your firm's proprietary Argus or Excel templates.

Input types

Argus & Excel

Non-Standard Rent Rolls

Complex Tables

Multi-modal

Document types

PDFs

Excel (.xlsx)

Scans

Floor Plans

Leases

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Achieve near-perfect accuracy

with AI reasoning.

A solid valuation is built on solid data. The agent uses AI optimized for real estate documents to ensure that rents, dates, and expense figures are extracted with the highest precision, eliminating manual data entry errors.

Model providers

Security note

V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.

Answer

Type

Text

Tool

o4 Mini

Reasoning effort

Min

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Achieve near-perfect accuracy

with AI reasoning.

A solid valuation is built on solid data. The agent uses AI optimized for real estate documents to ensure that rents, dates, and expense figures are extracted with the highest precision, eliminating manual data entry errors.

Model providers

Security note

V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.

Answer

Type

Text

Tool

o4 Mini

Reasoning effort

Min

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Achieve near-perfect accuracy

with AI reasoning.

A solid valuation is built on solid data. The agent uses AI optimized for real estate documents to ensure that rents, dates, and expense figures are extracted with the highest precision, eliminating manual data entry errors.

Model providers

Security note

V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.

Answer

Type

Text

Tool

o4 Mini

Reasoning effort

Min

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Trustworthy results,

grounded in your documents.

Build a fully auditable underwriting file. Every single number that populates your model—from a tenant's square footage to a line item for property taxes—is visually linked back to the source document for instant verification.

Visual grounding in action

00:54

Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.

Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.

Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.

Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.

Prior Warning and Ignoring Compliance

02

01

01

02

Trustworthy results,

grounded in your documents.

Build a fully auditable underwriting file. Every single number that populates your model—from a tenant's square footage to a line item for property taxes—is visually linked back to the source document for instant verification.

Visual grounding in action

00:54

Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.

Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.

Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.

Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.

Prior Warning and Ignoring Compliance

02

01

01

02

Trustworthy results,

grounded in your documents.

Build a fully auditable underwriting file. Every single number that populates your model—from a tenant's square footage to a line item for property taxes—is visually linked back to the source document for instant verification.

Visual grounding in action

00:54

Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.

Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.

Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.

Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.

Prior Warning and Ignoring Compliance

02

01

01

02

Enterprise-grade security

for sensitive financial data.

Confidential deal information and proprietary models are your firm's lifeblood. V7 Go is built to protect them, processing all your data within your secure, private environment.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise-grade security

for sensitive financial data.

Confidential deal information and proprietary models are your firm's lifeblood. V7 Go is built to protect them, processing all your data within your secure, private environment.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise-grade security

for sensitive financial data.

Confidential deal information and proprietary models are your firm's lifeblood. V7 Go is built to protect them, processing all your data within your secure, private environment.

Certifications

GPDR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

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Answers

Answers

What you need to know about our

AI Real Estate Cash Flow Modeling Agent

How does it handle the thousands of different rent roll formats from brokers and managers?

V7 Go's AI doesn't rely on fixed templates. It understands the context of a rent roll and can intelligently identify the correct columns (e.g., 'Tenant Name,' 'Lease Expiration') even if they have different headers or are in a different order.

+

How does it handle the thousands of different rent roll formats from brokers and managers?

V7 Go's AI doesn't rely on fixed templates. It understands the context of a rent roll and can intelligently identify the correct columns (e.g., 'Tenant Name,' 'Lease Expiration') even if they have different headers or are in a different order.

+

How does it handle the thousands of different rent roll formats from brokers and managers?

V7 Go's AI doesn't rely on fixed templates. It understands the context of a rent roll and can intelligently identify the correct columns (e.g., 'Tenant Name,' 'Lease Expiration') even if they have different headers or are in a different order.

+

Can it populate our firm's highly customized Argus or Excel model?

Yes. This is a core function. We configure the agent's output to match the exact input fields and format of your proprietary models, ensuring a seamless, one-click population process.

+

Can it populate our firm's highly customized Argus or Excel model?

Yes. This is a core function. We configure the agent's output to match the exact input fields and format of your proprietary models, ensuring a seamless, one-click population process.

+

Can it populate our firm's highly customized Argus or Excel model?

Yes. This is a core function. We configure the agent's output to match the exact input fields and format of your proprietary models, ensuring a seamless, one-click population process.

+

Does the agent make its own assumptions for market rent and vacancy?

It populates all the historical and in-place data. The strategic, forward-looking assumptions for market leasing (market rent, downtime, TIs) are still set by the human analyst to reflect their specific market view.

+

Does the agent make its own assumptions for market rent and vacancy?

It populates all the historical and in-place data. The strategic, forward-looking assumptions for market leasing (market rent, downtime, TIs) are still set by the human analyst to reflect their specific market view.

+

Does the agent make its own assumptions for market rent and vacancy?

It populates all the historical and in-place data. The strategic, forward-looking assumptions for market leasing (market rent, downtime, TIs) are still set by the human analyst to reflect their specific market view.

+

Can it handle a data room with dozens of different files for one property?

Yes. It's designed to synthesize information from a complete deal package, cross-referencing the rent roll with the operating statements and individual lease files to build a complete and consistent data picture.

+

Can it handle a data room with dozens of different files for one property?

Yes. It's designed to synthesize information from a complete deal package, cross-referencing the rent roll with the operating statements and individual lease files to build a complete and consistent data picture.

+

Can it handle a data room with dozens of different files for one property?

Yes. It's designed to synthesize information from a complete deal package, cross-referencing the rent roll with the operating statements and individual lease files to build a complete and consistent data picture.

+

What's the final output of the agent?

The output is your own Argus or Excel file, now fully populated with all the historical data from the source documents, ready for you to begin your forecasting and analysis.

+

What's the final output of the agent?

The output is your own Argus or Excel file, now fully populated with all the historical data from the source documents, ready for you to begin your forecasting and analysis.

+

What's the final output of the agent?

The output is your own Argus or Excel file, now fully populated with all the historical data from the source documents, ready for you to begin your forecasting and analysis.

+

How accurate is the data it extracts from scanned PDFs?

The platform uses industry-leading OCR optimized for complex financial tables. Accuracy is extremely high, and every single extracted number is visually cited, allowing for instant human verification of any questionable figures.

+

How accurate is the data it extracts from scanned PDFs?

The platform uses industry-leading OCR optimized for complex financial tables. Accuracy is extremely high, and every single extracted number is visually cited, allowing for instant human verification of any questionable figures.

+

How accurate is the data it extracts from scanned PDFs?

The platform uses industry-leading OCR optimized for complex financial tables. Accuracy is extremely high, and every single extracted number is visually cited, allowing for instant human verification of any questionable figures.

+

Next steps

Next steps

Ready to underwrite your next deal in a fraction of the time?

Send us a recent deal package—rent roll, T12, and leases—and your model template. We will show you the fully-populated, ready-to-analyze cash flow model our AI agent can generate.

Uncover hidden liabilities

in

supplier contracts.

V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:

  • Mercedes-Benz logo
    SMC  logo
    Centerline logo
    Alaris logo

Uncover hidden liabilities

in

supplier contracts.

V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:

  • Mercedes-Benz logo
    SMC  logo
    Centerline logo
    Alaris logo