AI Statement Normalization Agent
The universal translator for financial statements
The universal translator for financial statements
Delegate the painful task of data mapping to a specialized AI agent. It reads financial statements from any company, intelligently maps their unique line items to your firm's standard chart of accounts, and delivers a perfectly normalized dataset ready for apples-to-apples analysis.
Why V7 Go
Why V7 Go
Intelligent Line Item Mapping
Uses AI to understand financial concepts, allowing it to correctly map dozens of variations (e.g., 'Sales,' 'Revenue,' 'Turnover') to your single, standard 'Revenue' line item.
Intelligent Line Item Mapping
Uses AI to understand financial concepts, allowing it to correctly map dozens of variations (e.g., 'Sales,' 'Revenue,' 'Turnover') to your single, standard 'Revenue' line item.
Intelligent Line Item Mapping
Uses AI to understand financial concepts, allowing it to correctly map dozens of variations (e.g., 'Sales,' 'Revenue,' 'Turnover') to your single, standard 'Revenue' line item.
Custom Chart of Accounts
The agent is configured to your firm's proprietary chart of accounts or spreading template, ensuring every financial statement is standardized to your specific analytical needs.
Custom Chart of Accounts
The agent is configured to your firm's proprietary chart of accounts or spreading template, ensuring every financial statement is standardized to your specific analytical needs.
Custom Chart of Accounts
The agent is configured to your firm's proprietary chart of accounts or spreading template, ensuring every financial statement is standardized to your specific analytical needs.
Handles Any Statement Format
Works with financial statements in any format—from clean SEC filings and Excel files to messy, scanned PDFs from private companies with non-standard layouts.
Handles Any Statement Format
Works with financial statements in any format—from clean SEC filings and Excel files to messy, scanned PDFs from private companies with non-standard layouts.
Handles Any Statement Format
Works with financial statements in any format—from clean SEC filings and Excel files to messy, scanned PDFs from private companies with non-standard layouts.
GAAP & IFRS Aware
Understands the structural differences between major accounting standards like GAAP and IFRS, and can be configured to correctly map statements from either system.
GAAP & IFRS Aware
Understands the structural differences between major accounting standards like GAAP and IFRS, and can be configured to correctly map statements from either system.
GAAP & IFRS Aware
Understands the structural differences between major accounting standards like GAAP and IFRS, and can be configured to correctly map statements from either system.
Enables Portfolio Benchmarking
By normalizing the financials for all your portfolio companies or a list of competitors, the agent creates the clean, consistent dataset required for true peer benchmarking.
Enables Portfolio Benchmarking
By normalizing the financials for all your portfolio companies or a list of competitors, the agent creates the clean, consistent dataset required for true peer benchmarking.
Enables Portfolio Benchmarking
By normalizing the financials for all your portfolio companies or a list of competitors, the agent creates the clean, consistent dataset required for true peer benchmarking.
Cited & Auditable Mapping
Every number in the normalized output is supported by a visual citation, showing you exactly which line item from the original, messy statement was mapped to your standardized template.
Cited & Auditable Mapping
Every number in the normalized output is supported by a visual citation, showing you exactly which line item from the original, messy statement was mapped to your standardized template.
Cited & Auditable Mapping
Every number in the normalized output is supported by a visual citation, showing you exactly which line item from the original, messy statement was mapped to your standardized template.
Why V7 Go
Reads inconsistent financial statements
And maps them to your single, standard chart of accounts.
Workflow
Workflow
Import your files
Microsoft Excel
,
QuickBooks
,
S&P Capital IQ
Time comparison
Time comparison
Time comparison
Time comparison
Traditional way
Hours of manual mapping
Hours of manual mapping
With V7 Go agents
Minutes
Minutes
Average time saved
95%
95%
V7 Go
V7 Go
V7 Go
V7 Go
The essential first step
for any comparative financial analysis
You can't analyze what you can't compare. But trying to compare financial statements from different companies is a manual nightmare of data mapping. Every company has a unique chart of accounts, with different names for the same line items. This forces analysts to spend hours on the tedious, soul-crushing work of manually re-mapping data into a standardized format before any meaningful analysis can even begin. For this tedious work you don't enjoy, there's V7 Go—an AI army to handle the normalization for you.
Private Equity & VC
Automate the normalization of portfolio company financials to enable true, apples-to-apples performance benchmarking and identify top performers and outliers.
Private Equity & VC
Automate the normalization of portfolio company financials to enable true, apples-to-apples performance benchmarking and identify top performers and outliers.
Private Equity & VC
Automate the normalization of portfolio company financials to enable true, apples-to-apples performance benchmarking and identify top performers and outliers.
Private Equity & VC
Automate the normalization of portfolio company financials to enable true, apples-to-apples performance benchmarking and identify top performers and outliers.
Credit & Financial Analysts
Stop wasting time on manual data mapping. Let an AI agent standardize the financials of potential borrowers or investments so you can focus on ratio analysis and credit decisions.
Credit & Financial Analysts
Stop wasting time on manual data mapping. Let an AI agent standardize the financials of potential borrowers or investments so you can focus on ratio analysis and credit decisions.
Credit & Financial Analysts
Stop wasting time on manual data mapping. Let an AI agent standardize the financials of potential borrowers or investments so you can focus on ratio analysis and credit decisions.
Credit & Financial Analysts
Stop wasting time on manual data mapping. Let an AI agent standardize the financials of potential borrowers or investments so you can focus on ratio analysis and credit decisions.
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Welcome Go
Welcome Go
Welcome Go
Welcome Go
The universal translator for financial statements
The universal translator for financial statements
The universal translator for financial statements
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:
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:
FAQ
FAQ
FAQ
FAQ
Have questions?
Find answers.
How do we provide our standard chart of accounts to the agent?
You provide your spreading template or a simple list of your standard account names to a V7 Go Knowledge Hub. The agent uses this as its 'dictionary' to translate every statement it reads.
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How do we provide our standard chart of accounts to the agent?
You provide your spreading template or a simple list of your standard account names to a V7 Go Knowledge Hub. The agent uses this as its 'dictionary' to translate every statement it reads.
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How do we provide our standard chart of accounts to the agent?
You provide your spreading template or a simple list of your standard account names to a V7 Go Knowledge Hub. The agent uses this as its 'dictionary' to translate every statement it reads.
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How do we provide our standard chart of accounts to the agent?
You provide your spreading template or a simple list of your standard account names to a V7 Go Knowledge Hub. The agent uses this as its 'dictionary' to translate every statement it reads.
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What happens if a company has a line item that doesn't fit our standard accounts?
The agent's workflow is configured to handle exceptions. It can be set to automatically flag any unmapped line items and route them to a human analyst to decide on the correct treatment.
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What happens if a company has a line item that doesn't fit our standard accounts?
The agent's workflow is configured to handle exceptions. It can be set to automatically flag any unmapped line items and route them to a human analyst to decide on the correct treatment.
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What happens if a company has a line item that doesn't fit our standard accounts?
The agent's workflow is configured to handle exceptions. It can be set to automatically flag any unmapped line items and route them to a human analyst to decide on the correct treatment.
+
What happens if a company has a line item that doesn't fit our standard accounts?
The agent's workflow is configured to handle exceptions. It can be set to automatically flag any unmapped line items and route them to a human analyst to decide on the correct treatment.
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How is this different from the 'Financial Statement Analysis' agent?
The analysis agent focuses on extracting data and calculating ratios from a single company's statements. This normalization agent specializes in the next step: taking the statements from *multiple* companies and transforming them into a single, comparable format.
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How is this different from the 'Financial Statement Analysis' agent?
The analysis agent focuses on extracting data and calculating ratios from a single company's statements. This normalization agent specializes in the next step: taking the statements from *multiple* companies and transforming them into a single, comparable format.
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How is this different from the 'Financial Statement Analysis' agent?
The analysis agent focuses on extracting data and calculating ratios from a single company's statements. This normalization agent specializes in the next step: taking the statements from *multiple* companies and transforming them into a single, comparable format.
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How is this different from the 'Financial Statement Analysis' agent?
The analysis agent focuses on extracting data and calculating ratios from a single company's statements. This normalization agent specializes in the next step: taking the statements from *multiple* companies and transforming them into a single, comparable format.
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Can it normalize balance sheets and cash flow statements as well?
Yes. The agent is capable of normalizing all three financial statements—the Income Statement, Balance Sheet, and Cash Flow Statement—to create a complete, standardized financial picture.
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Can it normalize balance sheets and cash flow statements as well?
Yes. The agent is capable of normalizing all three financial statements—the Income Statement, Balance Sheet, and Cash Flow Statement—to create a complete, standardized financial picture.
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Can it normalize balance sheets and cash flow statements as well?
Yes. The agent is capable of normalizing all three financial statements—the Income Statement, Balance Sheet, and Cash Flow Statement—to create a complete, standardized financial picture.
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Can it normalize balance sheets and cash flow statements as well?
Yes. The agent is capable of normalizing all three financial statements—the Income Statement, Balance Sheet, and Cash Flow Statement—to create a complete, standardized financial picture.
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What's the final output of the agent?
The output is a clean, structured dataset, typically in Excel or CSV format, containing the financials from one or more companies, all perfectly mapped to your firm's standard chart of accounts.
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What's the final output of the agent?
The output is a clean, structured dataset, typically in Excel or CSV format, containing the financials from one or more companies, all perfectly mapped to your firm's standard chart of accounts.
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What's the final output of the agent?
The output is a clean, structured dataset, typically in Excel or CSV format, containing the financials from one or more companies, all perfectly mapped to your firm's standard chart of accounts.
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What's the final output of the agent?
The output is a clean, structured dataset, typically in Excel or CSV format, containing the financials from one or more companies, all perfectly mapped to your firm's standard chart of accounts.
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How can we trust the mapping is correct?
Through 100% transparency. The output file includes a mapping log and visual citations. You can instantly click from a standardized line item like 'Revenue' to see exactly which line items from the original documents were included in that total.
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How can we trust the mapping is correct?
Through 100% transparency. The output file includes a mapping log and visual citations. You can instantly click from a standardized line item like 'Revenue' to see exactly which line items from the original documents were included in that total.
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How can we trust the mapping is correct?
Through 100% transparency. The output file includes a mapping log and visual citations. You can instantly click from a standardized line item like 'Revenue' to see exactly which line items from the original documents were included in that total.
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How can we trust the mapping is correct?
Through 100% transparency. The output file includes a mapping log and visual citations. You can instantly click from a standardized line item like 'Revenue' to see exactly which line items from the original documents were included in that total.
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