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

See AI Real Estate Cash Flow Modeling Agent in action
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See AI Real Estate Cash Flow Modeling Agent in action
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See AI Real Estate Cash Flow Modeling Agent in action
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New Deal Underwriting
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
All types of Real Estate documents supported
Once imported our system extracts and organises the essentials
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
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
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
Finance
“Whenever I think about hiring, I first try to do it in V7 Go.” Discover how HITICCO uses V7 Go agents to accelerate and enrich their prospect research.
Read the full story
Finance
The experience with V7 has been fantastic. Very customized level of support. You feel like they really care about your outcome and objectives.
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:
Uncover hidden liabilities
in
supplier contracts.
V7 Go transforms documents into strategic assets. 150+ enterprises are already on board: