Enable true peer benchmarking
AI Statement Normalization Agent
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.
Ideal for
Credit Analysts
PE / VC Firms
FP&A Teams
See AI Statement Normalization Agent in action
Play video
See AI Statement Normalization Agent in action
Play video
See AI Statement Normalization Agent in action
Play video
Portfolio Company Benchmarking
See AI Statement Normalization Agent in action
Play video
Time comparison
Time comparison
Traditional way
Hours of manual mapping
With V7 Go agents
Minutes
Average time saved
95%
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.
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.
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.
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.
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.
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.
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.
Reads inconsistent financial statements
And maps them to your single, standard chart of accounts.
Get started
Get started
Import your files
Microsoft Excel
,
QuickBooks
,
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
Built for the teams that handle high-stakes work
Built to scale workflows for teams that need speed and accuracy.
For Teams
For Teams
Private Equity & VC
Private Equity & VC
Private Equity & VC
Automate the normalization of portfolio company financials to enable true, apples-to-apples performance benchmarking and identify top performers and outliers.
Automate the normalization of portfolio company financials to enable true, apples-to-apples performance benchmarking and identify top performers and outliers.
Automate the normalization of portfolio company financials to enable true, apples-to-apples performance benchmarking and identify top performers and outliers.
Credit & Financial Analysts
Credit & Financial Analysts
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.
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.
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.
Customer voices
Customer voices
Connect AI to your chart of accounts.
Connect AI to your chart of accounts.
Turn inconsistent financial data into a powerful, comparable asset.
Turn inconsistent financial data into a powerful, comparable asset.
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 financial statement.
From any company, in any format.
This agent is built to handle the global mess of financial reporting. It processes statements in any format—from public 10-Ks under US GAAP to private company PDFs under IFRS—and maps them to your single standard.
Input types
GAAP & IFRS
Multi-Currency
Inconsistent Formats
Multi-modal
Document types
PDFs
Excel (.xlsx)
Scans
Complex Tables
10-Ks
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Works with any financial statement.
From any company, in any format.
This agent is built to handle the global mess of financial reporting. It processes statements in any format—from public 10-Ks under US GAAP to private company PDFs under IFRS—and maps them to your single standard.
Input types
GAAP & IFRS
Multi-Currency
Inconsistent Formats
Multi-modal
Document types
PDFs
Excel (.xlsx)
Scans
Complex Tables
10-Ks
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Works with any financial statement.
From any company, in any format.
This agent is built to handle the global mess of financial reporting. It processes statements in any format—from public 10-Ks under US GAAP to private company PDFs under IFRS—and maps them to your single standard.
Input types
GAAP & IFRS
Multi-Currency
Inconsistent Formats
Multi-modal
Document types
PDFs
Excel (.xlsx)
Scans
Complex Tables
10-Ks
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Achieve near-perfect accuracy
with AI reasoning.
Good benchmarking requires accurate mapping. The agent uses AI to understand the financial concepts behind different line items, ensuring that its normalization is conceptually sound and not just a simple text match.
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.
Good benchmarking requires accurate mapping. The agent uses AI to understand the financial concepts behind different line items, ensuring that its normalization is conceptually sound and not just a simple text match.
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.
Good benchmarking requires accurate mapping. The agent uses AI to understand the financial concepts behind different line items, ensuring that its normalization is conceptually sound and not just a simple text match.
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.
Create a fully auditable normalization process. The agent's output includes a clear mapping log, and every single normalized number is visually linked back to the original line item on the source financial statement.
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
![](data:image/svg+xml,<svg display="block" role="presentation" viewBox="0 0 198 15" xmlns="http://www.w3.org/2000/svg"><defs ><clipPath id="J0QEw1Ctk-2037569988-stroke"><use href="%23J0QEw1Ctk-2037569988"/></clipPath><path d="M 0 1 C 0 0.448 0.448 0 1 0 L 197 0 C 197.552 0 198 0.448 198 1 L 198 9 C 198 9.552 197.552 10 197 10 L 76 10 L 76 14 C 76 14.552 75.552 15 75 15 L 1 15 C 0.448 15 0 14.552 0 14 Z" id="J0QEw1Ctk-2037569988"/></defs><use fill="rgba(124, 58, 237, 0.1)" height="15px" href="%23J0QEw1Ctk-2037569988" id="J0QEw1Ctk" width="198px"/><use clip-path="url(%23J0QEw1Ctk-2037569988-stroke)" fill="transparent" href="%23J0QEw1Ctk-2037569988" stroke-dasharray="0" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="4" stroke-width="1" stroke="rgb(124, 58, 237)"/></svg>)
02
01
01
02
Trustworthy results,
grounded in your documents.
Create a fully auditable normalization process. The agent's output includes a clear mapping log, and every single normalized number is visually linked back to the original line item on the source financial statement.
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.
Create a fully auditable normalization process. The agent's output includes a clear mapping log, and every single normalized number is visually linked back to the original line item on the source financial statement.
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.
Private company financial statements are highly confidential. V7 Go is architected to protect this sensitive data, processing all your documents 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.
Private company financial statements are highly confidential. V7 Go is architected to protect this sensitive data, processing all your documents 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.
Private company financial statements are highly confidential. V7 Go is architected to protect this sensitive data, processing all your documents within your secure, private environment.
Certifications
GPDR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
More agents
More agents
Explore more agents to help you
Explore more agents to help you
analyze and report on your standardized data
More agents
AI Financial Due Diligence Agent
Automates data room analysis to extract financials, normalize data, and identify red flags for faster M&A.
Finance
•
Data Room Automation
•
Financial Spreading
•
Red Flag Detection
Get ->
AI Financial Due Diligence Agent
Automates data room analysis to extract financials, normalize data, and identify red flags for faster M&A.
Finance
•
Data Room Automation
•
Financial Spreading
•
Red Flag Detection
Get ->
AI Financial Due Diligence Agent
Automates data room analysis to extract financials, normalize data, and identify red flags for faster M&A.
Finance
•
Data Room Automation
•
Financial Spreading
•
Red Flag Detection
Get ->
AI Financial Due Diligence Agent
Automates data room analysis to extract financials, normalize data, and identify red flags for faster M&A.
Finance
•
Data Room Automation
•
Financial Spreading
•
Red Flag Detection
Get ->
AI Investment Analysis Agent
Synthesizes analyst reports, earnings calls, and filings to build investment theses and bull/bear cases.
Finance
•
Investment Thesis Synthesis
•
Earnings Call Analysis
•
Bull/Bear Case Generation
Get ->
AI Investment Analysis Agent
Synthesizes analyst reports, earnings calls, and filings to build investment theses and bull/bear cases.
Finance
•
Investment Thesis Synthesis
•
Earnings Call Analysis
•
Bull/Bear Case Generation
Get ->
AI Investment Analysis Agent
Synthesizes analyst reports, earnings calls, and filings to build investment theses and bull/bear cases.
Finance
•
Investment Thesis Synthesis
•
Earnings Call Analysis
•
Bull/Bear Case Generation
Get ->
AI Investment Analysis Agent
Synthesizes analyst reports, earnings calls, and filings to build investment theses and bull/bear cases.
Finance
•
Investment Thesis Synthesis
•
Earnings Call Analysis
•
Bull/Bear Case Generation
Get ->
Financial Valuation Agent
Automates DCF and comps analysis by pulling data, finding comparables, and populating valuation models.
Finance
•
DCF Model Automation
•
Comparable Company Analysis
•
Precedent Transaction Analysis
Get ->
Financial Valuation Agent
Automates DCF and comps analysis by pulling data, finding comparables, and populating valuation models.
Finance
•
DCF Model Automation
•
Comparable Company Analysis
•
Precedent Transaction Analysis
Get ->
Financial Valuation Agent
Automates DCF and comps analysis by pulling data, finding comparables, and populating valuation models.
Finance
•
DCF Model Automation
•
Comparable Company Analysis
•
Precedent Transaction Analysis
Get ->
Financial Valuation Agent
Automates DCF and comps analysis by pulling data, finding comparables, and populating valuation models.
Finance
•
DCF Model Automation
•
Comparable Company Analysis
•
Precedent Transaction Analysis
Get ->
AI VAT Compliance Agent
Automates VAT checks on invoices to ensure correct rates, valid numbers, and regulatory compliance.
Finance
•
VAT Compliance Automation
•
Invoice Data Extraction
•
VAT Number Validation
Get ->
AI VAT Compliance Agent
Automates VAT checks on invoices to ensure correct rates, valid numbers, and regulatory compliance.
Finance
•
VAT Compliance Automation
•
Invoice Data Extraction
•
VAT Number Validation
Get ->
AI VAT Compliance Agent
Automates VAT checks on invoices to ensure correct rates, valid numbers, and regulatory compliance.
Finance
•
VAT Compliance Automation
•
Invoice Data Extraction
•
VAT Number Validation
Get ->
AI VAT Compliance Agent
Automates VAT checks on invoices to ensure correct rates, valid numbers, and regulatory compliance.
Finance
•
VAT Compliance Automation
•
Invoice Data Extraction
•
VAT Number Validation
Get ->
AI Tax Authority Correspondence Agent
Automates the intake and analysis of tax notices to extract deadlines and summarize key issues.
Finance
•
Tax Notice Triage
•
Deadline Extraction
•
Correspondence Management
Get ->
AI Tax Authority Correspondence Agent
Automates the intake and analysis of tax notices to extract deadlines and summarize key issues.
Finance
•
Tax Notice Triage
•
Deadline Extraction
•
Correspondence Management
Get ->
AI Tax Authority Correspondence Agent
Automates the intake and analysis of tax notices to extract deadlines and summarize key issues.
Finance
•
Tax Notice Triage
•
Deadline Extraction
•
Correspondence Management
Get ->
AI Tax Authority Correspondence Agent
Automates the intake and analysis of tax notices to extract deadlines and summarize key issues.
Finance
•
Tax Notice Triage
•
Deadline Extraction
•
Correspondence Management
Get ->
AI Financial Reconciliation Agent
Automates financial reconciliation by matching transactions and flagging discrepancies between systems.
Finance
•
Financial Reconciliation
•
Bank Statement Processing
•
Transaction Matching
Get ->
AI Financial Reconciliation Agent
Automates financial reconciliation by matching transactions and flagging discrepancies between systems.
Finance
•
Financial Reconciliation
•
Bank Statement Processing
•
Transaction Matching
Get ->
AI Financial Reconciliation Agent
Automates financial reconciliation by matching transactions and flagging discrepancies between systems.
Finance
•
Financial Reconciliation
•
Bank Statement Processing
•
Transaction Matching
Get ->
AI Financial Reconciliation Agent
Automates financial reconciliation by matching transactions and flagging discrepancies between systems.
Finance
•
Financial Reconciliation
•
Bank Statement Processing
•
Transaction Matching
Get ->
Answers
Answers
What you need to know about our
AI Statement Normalization Agent
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.
+
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.
+
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.
+
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.
+
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.
+
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.
+
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.
+
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.
+
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.
+
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.
+
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.
+
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.
+
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.
+
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.
+
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.
+
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.
+
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.
+
Next steps
Next steps
Tired of manually re-mapping financials?
Send us a set of financial statements from different companies and your standard spreading template. We will show you the perfectly normalized, analysis-ready dataset our AI agent can create.
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: