Weeks of work in hours

AI Financial Due Diligence Agent

Go from data room to model in hours

Delegate your entire first-pass due diligence to a specialized AI agent. It navigates virtual data rooms, extracts and normalizes financials, analyzes commercial contracts, and flags risks, delivering a structured data package ready for your analysis.

Ideal for

Private Equity

Venture Capital

Corporate Development

  • Mercedes-Benz logo
    SMC  logo
    Philips logo
    Bayer Logo
    Mars Logo
    Roche logo
    Sony logo
    Alaris logo

See AI Financial Due Diligence Agent in action

Play video

  • Mercedes-Benz logo
    SMC  logo
    Philips logo
    Bayer Logo
    Mars Logo
    Roche logo
    Sony logo
    Alaris logo

See AI Financial Due Diligence Agent in action

Play video

  • Mercedes-Benz logo
    SMC  logo
    Philips logo
    Bayer Logo
    Mars Logo
    Roche logo
    Sony logo
    Alaris logo

See AI Financial Due Diligence Agent in action

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Financial Diligence - Stonewall Corp

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Time comparison

Time comparison

Traditional way

2-3 weeks

2-3 weeks

With V7 Go agents

2-4 hours

2-4 hours

Average time saved

99%

99%

Why V7 Go

Why V7 Go

Automated Data Room Processing

Connect the agent directly to a Virtual Data Room (VDR) to analyze hundreds of documents—financial statements, contracts, cap tables—simultaneously.

Automated Data Room Processing

Connect the agent directly to a Virtual Data Room (VDR) to analyze hundreds of documents—financial statements, contracts, cap tables—simultaneously.

Automated Data Room Processing

Connect the agent directly to a Virtual Data Room (VDR) to analyze hundreds of documents—financial statements, contracts, cap tables—simultaneously.

Automated Data Room Processing

Connect the agent directly to a Virtual Data Room (VDR) to analyze hundreds of documents—financial statements, contracts, cap tables—simultaneously.

Financial Statement Spreading

Automatically extracts data from income statements, balance sheets, and cash flow statements, and populates it into your standardized financial model templates.

Financial Statement Spreading

Automatically extracts data from income statements, balance sheets, and cash flow statements, and populates it into your standardized financial model templates.

Financial Statement Spreading

Automatically extracts data from income statements, balance sheets, and cash flow statements, and populates it into your standardized financial model templates.

Financial Statement Spreading

Automatically extracts data from income statements, balance sheets, and cash flow statements, and populates it into your standardized financial model templates.

Red Flag Identification

Proactively searches for common diligence risks, such as customer concentration, margin erosion, unusual accounting practices, and problematic contract clauses.

Red Flag Identification

Proactively searches for common diligence risks, such as customer concentration, margin erosion, unusual accounting practices, and problematic contract clauses.

Red Flag Identification

Proactively searches for common diligence risks, such as customer concentration, margin erosion, unusual accounting practices, and problematic contract clauses.

Red Flag Identification

Proactively searches for common diligence risks, such as customer concentration, margin erosion, unusual accounting practices, and problematic contract clauses.

Cap Table Analysis

Parses complex capitalization tables to validate ownership percentages, identify non-standard equity classes, and check for liquidation preference issues.

Cap Table Analysis

Parses complex capitalization tables to validate ownership percentages, identify non-standard equity classes, and check for liquidation preference issues.

Cap Table Analysis

Parses complex capitalization tables to validate ownership percentages, identify non-standard equity classes, and check for liquidation preference issues.

Cap Table Analysis

Parses complex capitalization tables to validate ownership percentages, identify non-standard equity classes, and check for liquidation preference issues.

Commercial Contract Review

Analyzes key commercial agreements to extract terms, find revenue risks, and flag non-standard clauses related to termination, liability, and change of control.

Commercial Contract Review

Analyzes key commercial agreements to extract terms, find revenue risks, and flag non-standard clauses related to termination, liability, and change of control.

Commercial Contract Review

Analyzes key commercial agreements to extract terms, find revenue risks, and flag non-standard clauses related to termination, liability, and change of control.

Commercial Contract Review

Analyzes key commercial agreements to extract terms, find revenue risks, and flag non-standard clauses related to termination, liability, and change of control.

Structured Data Output

Delivers a clean, structured dataset with all findings, fully cited, ready for ingestion into your financial models and for creating investment committee memos.

Structured Data Output

Delivers a clean, structured dataset with all findings, fully cited, ready for ingestion into your financial models and for creating investment committee memos.

Structured Data Output

Delivers a clean, structured dataset with all findings, fully cited, ready for ingestion into your financial models and for creating investment committee memos.

Structured Data Output

Delivers a clean, structured dataset with all findings, fully cited, ready for ingestion into your financial models and for creating investment committee memos.

Customer voices

Customer voices

Connect AI to your diligence playbook.

Connect AI to your diligence playbook.

Get from data room access to a go/no-go decision faster.

Get from data room access to a go/no-go decision faster.

Finance

Legal

Insurance

Tax

Real Estate

Finance

Legal

Insurance

Tax

Real Estate

Finance

Legal

Insurance

Tax

Real Estate

Customer Voices

Features

Features

Results you can actually trust.
Reliable AI document processing toolkit.

Results you can trust.
Trustworthy AI document processing toolkit.

Supporting complex documents.

Up to 200 pages.

Diligence data rooms are messy. This agent is built to handle it all: multi-year financial statements in inconsistent formats, scanned K-1s, complex cap table spreadsheets, and contracts with dense tables.

Input types

50+ languages

Low-Quality Scans

200 pages

Multi-modal

Document types

PDFs

VDR Links

Tables

Graphs

Excel Models

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.

Up to 200 pages.

Diligence data rooms are messy. This agent is built to handle it all: multi-year financial statements in inconsistent formats, scanned K-1s, complex cap table spreadsheets, and contracts with dense tables.

Input types

50+ languages

Low-Quality Scans

200 pages

Multi-modal

Document types

PDFs

VDR Links

Tables

Graphs

Excel Models

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.

Up to 200 pages.

Diligence data rooms are messy. This agent is built to handle it all: multi-year financial statements in inconsistent formats, scanned K-1s, complex cap table spreadsheets, and contracts with dense tables.

Input types

50+ languages

Low-Quality Scans

200 pages

Multi-modal

Document types

PDFs

VDR Links

Tables

Graphs

Excel Models

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate

through GenAI reasoning.

Your valuation is only as good as your data. The agent uses sophisticated table extraction and reasoning to ensure financial figures are captured with near-perfect accuracy, eliminating the risk of manual transposition errors that can kill a deal.

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

Off

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Reach 99% accuracy rate

through GenAI reasoning.

Your valuation is only as good as your data. The agent uses sophisticated table extraction and reasoning to ensure financial figures are captured with near-perfect accuracy, eliminating the risk of manual transposition errors that can kill a deal.

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

Off

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Reach 99% accuracy rate

through GenAI reasoning.

Your valuation is only as good as your data. The agent uses sophisticated table extraction and reasoning to ensure financial figures are captured with near-perfect accuracy, eliminating the risk of manual transposition errors that can kill a deal.

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

Off

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Trustworthy results,

grounded in reality.

Don't waste time hunting for the source of a number. Every figure, date, and clause the agent extracts is visually linked back to its exact source in the data room. You get a fully auditable diligence record, instantly.

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 reality.

Don't waste time hunting for the source of a number. Every figure, date, and clause the agent extracts is visually linked back to its exact source in the data room. You get a fully auditable diligence record, instantly.

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 reality.

Don't waste time hunting for the source of a number. Every figure, date, and clause the agent extracts is visually linked back to its exact source in the data room. You get a fully auditable diligence record, instantly.

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 high-stake industries.

Due diligence involves highly confidential MNPI. V7 Go is designed for this reality, integrating into your secure VDRs and cloud environments to ensure target company data is handled with the highest levels of security and confidentiality.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries.

Due diligence involves highly confidential MNPI. V7 Go is designed for this reality, integrating into your secure VDRs and cloud environments to ensure target company data is handled with the highest levels of security and confidentiality.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries.

Due diligence involves highly confidential MNPI. V7 Go is designed for this reality, integrating into your secure VDRs and cloud environments to ensure target company data is handled with the highest levels of security and confidentiality.

Certifications

GPDR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

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Next steps

Next steps

Still running diligence with CTRL+F and a spreadsheet?

Challenge us with one of your previous data rooms. We'll show you how an AI agent can deliver a first-pass analysis in hours, not weeks.

Uncover hidden liabilities

in

supplier contracts.

V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:

  • Mercedes-Benz logo
    SMC  logo
    Philips logo
    Bayer Logo
    Mars Logo
    Roche logo
    Sony logo
    Alaris logo

Uncover hidden liabilities

in

supplier contracts.

V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:

  • Mercedes-Benz logo
    SMC  logo
    Philips logo
    Bayer Logo
    Mars Logo
    Roche logo
    Sony logo
    Alaris logo

Answers

Answers

What you need to know about our

AI Financial Due Diligence Agent

How does the agent handle inconsistent financial formats?

V7 Go is designed for messy, real-world data. The agent identifies financial tables and data points regardless of their format or layout, then normalizes them into your firm's preferred structure for consistent modeling.

+

How does the agent handle inconsistent financial formats?

V7 Go is designed for messy, real-world data. The agent identifies financial tables and data points regardless of their format or layout, then normalizes them into your firm's preferred structure for consistent modeling.

+

How does the agent handle inconsistent financial formats?

V7 Go is designed for messy, real-world data. The agent identifies financial tables and data points regardless of their format or layout, then normalizes them into your firm's preferred structure for consistent modeling.

+

Can this agent work with our custom Excel models?

Yes. We configure the agent's output to match the exact schema of your proprietary financial models. It can deliver data that populates directly into your existing Excel or Google Sheets templates, saving hours of manual data entry.

+

Can this agent work with our custom Excel models?

Yes. We configure the agent's output to match the exact schema of your proprietary financial models. It can deliver data that populates directly into your existing Excel or Google Sheets templates, saving hours of manual data entry.

+

Can this agent work with our custom Excel models?

Yes. We configure the agent's output to match the exact schema of your proprietary financial models. It can deliver data that populates directly into your existing Excel or Google Sheets templates, saving hours of manual data entry.

+

What kind of 'red flags' can it find?

You can customize the red flags based on your investment thesis. Common examples include revenue from a single customer over 40%, declining gross margins, extended accounts receivable cycles, or contracts that lack auto-renewal clauses.

+

What kind of 'red flags' can it find?

You can customize the red flags based on your investment thesis. Common examples include revenue from a single customer over 40%, declining gross margins, extended accounts receivable cycles, or contracts that lack auto-renewal clauses.

+

What kind of 'red flags' can it find?

You can customize the red flags based on your investment thesis. Common examples include revenue from a single customer over 40%, declining gross margins, extended accounts receivable cycles, or contracts that lack auto-renewal clauses.

+

How does it connect to virtual data rooms like Intralinks?

V7 Go can connect securely to major VDR providers via their APIs or by using our service agents that can navigate read-only web interfaces, allowing for the systematic analysis of all documents within a deal room.

+

How does it connect to virtual data rooms like Intralinks?

V7 Go can connect securely to major VDR providers via their APIs or by using our service agents that can navigate read-only web interfaces, allowing for the systematic analysis of all documents within a deal room.

+

How does it connect to virtual data rooms like Intralinks?

V7 Go can connect securely to major VDR providers via their APIs or by using our service agents that can navigate read-only web interfaces, allowing for the systematic analysis of all documents within a deal room.

+

Is every extracted financial figure verifiable?

Absolutely. Every single number and clause extracted by the agent is visually linked back to its precise location in the source document. This provides a 100% auditable trail, giving your team complete confidence in the data.

+

Is every extracted financial figure verifiable?

Absolutely. Every single number and clause extracted by the agent is visually linked back to its precise location in the source document. This provides a 100% auditable trail, giving your team complete confidence in the data.

+

Is every extracted financial figure verifiable?

Absolutely. Every single number and clause extracted by the agent is visually linked back to its precise location in the source document. This provides a 100% auditable trail, giving your team complete confidence in the data.

+

How quickly can we start using this for a new deal?

Once the agent is configured to your firm's financial models and diligence playbook (a one-time process), it can be deployed on a new data room and deliver initial findings in a matter of hours.

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How quickly can we start using this for a new deal?

Once the agent is configured to your firm's financial models and diligence playbook (a one-time process), it can be deployed on a new data room and deliver initial findings in a matter of hours.

+

How quickly can we start using this for a new deal?

Once the agent is configured to your firm's financial models and diligence playbook (a one-time process), it can be deployed on a new data room and deliver initial findings in a matter of hours.

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