Enable true peer benchmarking

AI Statement Normalization Agent

AI Statement Normalization Agent

AI Statement Normalization Agent

The universal translator for financial statements

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.

Ideal for

Credit Analysts

PE / VC Firms

FP&A Teams

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    SVG logo for Google
    Bar chart with two bars of different heights
    Brotherhood Mutual logo
    Black and white abstract graphic.
    Paige logo
    Roche logo
    Logo with abstract shapes and text.
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
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    Light gray waveform pattern on white background
    SVG logo with black letters
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See AI Statement Normalization Agent in action

Play video

  • Mercedes-Benz logo
    SMC  logo
    Gradient rectangle
    Centerline logo
    Abstract graphic with black and white elements
    Abstract pattern with overlapping shapes.
    Alaris logo
    Progress bar with text at bottom percentage
    SITO logo
    Diagonal stripes on a rectangular background
    SVG logo for Reddit
    Grey and black abstract symbol
    Foobar logo
    ABL logo
    SVG logo for Google
    Bar chart with two bars of different heights
    Brotherhood Mutual logo
    Black and white abstract graphic.
    Paige logo
    Roche logo
    Logo with abstract shapes and text.
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Light gray waveform pattern on white background
    SVG logo with black letters
    Abstract pattern with blue and green colors

See AI Statement Normalization Agent in action

Play video

Portfolio Company Benchmarking

  • Mercedes-Benz logo
    SMC  logo
    Gradient rectangle
    Centerline logo
    Abstract graphic with black and white elements
    Abstract pattern with overlapping shapes.
    Alaris logo
    Progress bar with text at bottom percentage
    SITO logo
    Diagonal stripes on a rectangular background
    SVG logo for Reddit
    Grey and black abstract symbol
    Foobar logo
    ABL logo
    SVG logo for Google
    Bar chart with two bars of different heights
    Brotherhood Mutual logo
    Black and white abstract graphic.
    Paige logo
    Roche logo
    Logo with abstract shapes and text.
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Light gray waveform pattern on white background
    SVG logo with black letters
    Abstract pattern with blue and green colors

See AI Statement Normalization Agent in action

Play video

Decision-ready outputs from your data room

Turn diligence documents into IC-ready slides.

V7 analyses CIMs, models, contracts, DDQs, and data rooms — then generates source-linked memos, tables, and PPT files your team can edit, trust, and send.

Speak to an expert in your industry in the next 24 hours.

See how V7 turns your firm’s documents into investor-ready outputs — with every number traced back to source.

Decision-ready outputs from your data room

Turn diligence documents into IC-ready slides.

V7 analyses CIMs, models, contracts, DDQs, and data rooms — then generates source-linked memos, tables, and PPT files your team can edit, trust, and send.

Speak to an expert in your industry in the next 24 hours.

See how V7 turns your firm’s documents into investor-ready outputs — with every number traced back to source.

Decision-ready outputs from your data room

Turn diligence documents into IC-ready slides.

V7 analyses CIMs, models, contracts, DDQs, and data rooms — then generates source-linked memos, tables, and PPT files your team can edit, trust, and send.

Speak to an expert in your industry in the next 24 hours.

See how V7 turns your firm’s documents into investor-ready outputs — with every number traced back to source.

Decision-ready outputs from your data room

Turn diligence documents into IC-ready slides.

V7 analyses CIMs, models, contracts, DDQs, and data rooms — then generates source-linked memos, tables, and PPT files your team can edit, trust, and send.

Speak to an expert in your industry in the next 24 hours.

See how V7 turns your firm’s documents into investor-ready outputs — with every number traced back to source.

Time comparison

Traditional way

Hours of manual mapping

With V7 Go agents

Minutes

Average time saved

95%

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.

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.

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.

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.

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

12

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

12

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

OpenAI, Anthropic, Gemini logos

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

OpenAI, Anthropic, Gemini logos

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

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

GPDR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

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Enterprise-grade security

Your data stays yours—always. Work with one of the few AI companies that never trains on your data.
  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

  • Fine-grained access controls

  • Inhouse security team

  • Audit logs across every workflow

Enterprise-grade security

Your data stays yours—always. Work with one of the few AI companies that never trains on your data.
  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

  • Fine-grained access controls

  • Inhouse security team

  • Audit logs across every workflow

Enterprise-grade security

Your data stays yours—always. Work with one of the few AI companies that never trains on your data.
  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

  • Fine-grained access controls

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  • Audit logs across every workflow

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Build once.

Deploy across the team.

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Build once.

Deploy across the team.

Improve over time.