Build models 90% faster
AI Excel Financial Modeling Agent
Focus on the forecast, not the formatting
Delegate the grunt work of financial modeling to a specialized AI agent. It reads historical financial statements, populates your templates, and generates a fully-linked, three-statement model in Excel, freeing you to focus on the strategic work of setting assumptions and driving insights.

Ideal for
FP&A
Investment Banking
Corporate Development

See AI Excel Financial Modeling Agent in action
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See AI Excel Financial Modeling Agent in action
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See AI Excel Financial Modeling Agent in action
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New Financial Model
See AI Excel Financial Modeling Agent in action
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Time comparison
Time comparison
Traditional way
1-2 days per model
With V7 Go agents
20 minutes
Average time saved
95%
Why V7 Go
Why V7 Go
Automated Historical Spreading
Eliminates manual data entry by automatically extracting three to five years of historical data from income statements, balance sheets, and cash flow statements.
Automated Historical Spreading
Eliminates manual data entry by automatically extracting three to five years of historical data from income statements, balance sheets, and cash flow statements.
Automated Historical Spreading
Eliminates manual data entry by automatically extracting three to five years of historical data from income statements, balance sheets, and cash flow statements.
Automated Historical Spreading
Eliminates manual data entry by automatically extracting three to five years of historical data from income statements, balance sheets, and cash flow statements.
Fully-Linked Three Statements
Generates a model where the IS, BS, and CFS are fully and correctly linked, with cash from the CFS flowing to the balance sheet and interest expense linked to debt schedules.
Fully-Linked Three Statements
Generates a model where the IS, BS, and CFS are fully and correctly linked, with cash from the CFS flowing to the balance sheet and interest expense linked to debt schedules.
Fully-Linked Three Statements
Generates a model where the IS, BS, and CFS are fully and correctly linked, with cash from the CFS flowing to the balance sheet and interest expense linked to debt schedules.
Fully-Linked Three Statements
Generates a model where the IS, BS, and CFS are fully and correctly linked, with cash from the CFS flowing to the balance sheet and interest expense linked to debt schedules.
Supporting Schedule Generation
Builds out all the necessary supporting schedules, including working capital, depreciation, and debt schedules, and populates them with the relevant historical data.
Supporting Schedule Generation
Builds out all the necessary supporting schedules, including working capital, depreciation, and debt schedules, and populates them with the relevant historical data.
Supporting Schedule Generation
Builds out all the necessary supporting schedules, including working capital, depreciation, and debt schedules, and populates them with the relevant historical data.
Supporting Schedule Generation
Builds out all the necessary supporting schedules, including working capital, depreciation, and debt schedules, and populates them with the relevant historical data.
Works with Your Custom Templates
The agent is configured to populate your firm’s proprietary, best-practice Excel templates, ensuring every model adheres to your standards for formatting and analysis.
Works with Your Custom Templates
The agent is configured to populate your firm’s proprietary, best-practice Excel templates, ensuring every model adheres to your standards for formatting and analysis.
Works with Your Custom Templates
The agent is configured to populate your firm’s proprietary, best-practice Excel templates, ensuring every model adheres to your standards for formatting and analysis.
Works with Your Custom Templates
The agent is configured to populate your firm’s proprietary, best-practice Excel templates, ensuring every model adheres to your standards for formatting and analysis.
Error-Free and Auditable
Eliminates the risk of human data entry errors and 'fat finger' mistakes. Every number in the model is cited back to the source document for instant verification.
Error-Free and Auditable
Eliminates the risk of human data entry errors and 'fat finger' mistakes. Every number in the model is cited back to the source document for instant verification.
Error-Free and Auditable
Eliminates the risk of human data entry errors and 'fat finger' mistakes. Every number in the model is cited back to the source document for instant verification.
Error-Free and Auditable
Eliminates the risk of human data entry errors and 'fat finger' mistakes. Every number in the model is cited back to the source document for instant verification.
Foundation for Any Analysis
Creates the robust, reliable three-statement model that serves as the foundation for all other financial analysis, including DCF, LBO, and M&A modeling.
Foundation for Any Analysis
Creates the robust, reliable three-statement model that serves as the foundation for all other financial analysis, including DCF, LBO, and M&A modeling.
Foundation for Any Analysis
Creates the robust, reliable three-statement model that serves as the foundation for all other financial analysis, including DCF, LBO, and M&A modeling.
Foundation for Any Analysis
Creates the robust, reliable three-statement model that serves as the foundation for all other financial analysis, including DCF, LBO, and M&A modeling.
Reads historical financial statements
To generate a complete, fully-linked Excel model.
Get started
Get started
Import your files
Microsoft Excel
,
Google Sheets
,
S&P Capital IQ
Import your files from whereever they are currently stored
All types of Finance documents supported
Once imported our system extracts and organises the essentials
Customer voices
Customer voices
Connect AI to your financial statements.
Connect AI to your financial statements.
Free your analysts to focus on analysis, not administration.
Free your analysts to focus on analysis, not administration.
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 your templates,
and your documents.
The agent adapts to your process. It extracts historicals from unstructured sources like PDF 10-Ks or private company statements and populates them perfectly into your firm's unique, multi-tab Excel model.
Input types
50+ languages
Multi-Tab Excel
Complex Tables
Multi-modal
Document types
Excel (.xlsx)
PDFs
Google Sheets
Low-Quality Scans
SEC Filings
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Works with your templates,
and your documents.
The agent adapts to your process. It extracts historicals from unstructured sources like PDF 10-Ks or private company statements and populates them perfectly into your firm's unique, multi-tab Excel model.
Input types
50+ languages
Multi-Tab Excel
Complex Tables
Multi-modal
Document types
Excel (.xlsx)
PDFs
Google Sheets
Low-Quality Scans
SEC Filings
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Works with your templates,
and your documents.
The agent adapts to your process. It extracts historicals from unstructured sources like PDF 10-Ks or private company statements and populates them perfectly into your firm's unique, multi-tab Excel model.
Input types
50+ languages
Multi-Tab Excel
Complex Tables
Multi-modal
Document types
Excel (.xlsx)
PDFs
Google Sheets
Low-Quality Scans
SEC Filings
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Achieve near-perfect accuracy
with AI reasoning.
A model is useless if the inputs are wrong. The agent uses AI optimized for numerical data to extract financial figures with extreme precision, eliminating costly 'fat-finger' errors from manual data entry.
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 model is useless if the inputs are wrong. The agent uses AI optimized for numerical data to extract financial figures with extreme precision, eliminating costly 'fat-finger' errors from manual data entry.
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 model is useless if the inputs are wrong. The agent uses AI optimized for numerical data to extract financial figures with extreme precision, eliminating costly 'fat-finger' errors from manual data entry.
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 model every time. Every single historical number the agent populates is linked via a visual citation directly to its source in the original document, making model checks and reviews instant.

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 model every time. Every single historical number the agent populates is linked via a visual citation directly to its source in the original document, making model checks and reviews instant.

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 model every time. Every single historical number the agent populates is linked via a visual citation directly to its source in the original document, making model checks and reviews instant.

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.
Your financial models and templates are highly confidential IP. V7 Go protects them by processing all data within your secure environment, ensuring your proprietary methods and deal information remain private.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise-grade security
for sensitive financial data.
Your financial models and templates are highly confidential IP. V7 Go protects them by processing all data within your secure environment, ensuring your proprietary methods and deal information remain private.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise-grade security
for sensitive financial data.
Your financial models and templates are highly confidential IP. V7 Go protects them by processing all data within your secure environment, ensuring your proprietary methods and deal information remain private.
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 Excel Financial Modeling Agent
How does it ensure the balance sheet actually balances?
The agent is configured with the fundamental accounting equation (Assets = Liabilities + Equity) as a core validation rule. It builds the model based on this principle, using standard best practices like a cash flow waterfall to ensure the model is always in balance.
+
How does it ensure the balance sheet actually balances?
The agent is configured with the fundamental accounting equation (Assets = Liabilities + Equity) as a core validation rule. It builds the model based on this principle, using standard best practices like a cash flow waterfall to ensure the model is always in balance.
+
How does it ensure the balance sheet actually balances?
The agent is configured with the fundamental accounting equation (Assets = Liabilities + Equity) as a core validation rule. It builds the model based on this principle, using standard best practices like a cash flow waterfall to ensure the model is always in balance.
+
Can it handle our firm's highly customized Excel model templates?
Yes. This is a primary function. We map the agent's logic to your existing templates, so it populates data and writes formulas in the exact cells and format that your team already uses. You do not have to change your models.
+
Can it handle our firm's highly customized Excel model templates?
Yes. This is a primary function. We map the agent's logic to your existing templates, so it populates data and writes formulas in the exact cells and format that your team already uses. You do not have to change your models.
+
Can it handle our firm's highly customized Excel model templates?
Yes. This is a primary function. We map the agent's logic to your existing templates, so it populates data and writes formulas in the exact cells and format that your team already uses. You do not have to change your models.
+
Does the agent build the forecast for me?
It builds the entire historical model and can pre-populate forecast drivers based on historical trends. The crucial work of setting the strategic, forward-looking assumptions for your forecast remains with the human analyst.
+
Does the agent build the forecast for me?
It builds the entire historical model and can pre-populate forecast drivers based on historical trends. The crucial work of setting the strategic, forward-looking assumptions for your forecast remains with the human analyst.
+
Does the agent build the forecast for me?
It builds the entire historical model and can pre-populate forecast drivers based on historical trends. The crucial work of setting the strategic, forward-looking assumptions for your forecast remains with the human analyst.
+
How does this differ from the DCF Modeling Agent?
This agent builds the foundational three-statement operating model. A DCF model is a specific valuation analysis that is typically built on top of this core model. This agent creates the engine; the DCF agent adds the valuation components.
+
How does this differ from the DCF Modeling Agent?
This agent builds the foundational three-statement operating model. A DCF model is a specific valuation analysis that is typically built on top of this core model. This agent creates the engine; the DCF agent adds the valuation components.
+
How does this differ from the DCF Modeling Agent?
This agent builds the foundational three-statement operating model. A DCF model is a specific valuation analysis that is typically built on top of this core model. This agent creates the engine; the DCF agent adds the valuation components.
+
What source documents does it need to build a model?
It needs access to the company's historical financial statements, typically found in their annual (10-K) or quarterly (10-Q) reports for public companies, or in PDF/Excel statements for private companies.
+
What source documents does it need to build a model?
It needs access to the company's historical financial statements, typically found in their annual (10-K) or quarterly (10-Q) reports for public companies, or in PDF/Excel statements for private companies.
+
What source documents does it need to build a model?
It needs access to the company's historical financial statements, typically found in their annual (10-K) or quarterly (10-Q) reports for public companies, or in PDF/Excel statements for private companies.
+
Can I trust the formulas it writes in Excel?
Yes. The agent is configured to use standard, best-practice financial modeling formulas for linking the statements. The entire logic is transparent and delivered in a fully editable Excel file for your review and customization.
+
Can I trust the formulas it writes in Excel?
Yes. The agent is configured to use standard, best-practice financial modeling formulas for linking the statements. The entire logic is transparent and delivered in a fully editable Excel file for your review and customization.
+
Can I trust the formulas it writes in Excel?
Yes. The agent is configured to use standard, best-practice financial modeling formulas for linking the statements. The entire logic is transparent and delivered in a fully editable Excel file for your review and customization.
+
Next steps
Next steps
This is how fast AI can build that model you're procrastinating on.
Send us a company's financial statements and your Excel template. We'll show you the fully-linked, presentation-ready three-statement model our agent can generate in minutes.
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: