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

See AI Financial Due Diligence Agent in action
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See AI Financial Due Diligence Agent in action
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See AI Financial Due Diligence Agent in action
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Financial Diligence - Stonewall Corp
See AI Financial Due Diligence Agent in action
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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.
Analyzes entire data rooms at once
To deliver a comprehensive diligence report.
Get started
Get started
Import your files
Intralinks
,
PitchBook
,
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 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
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
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
“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
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
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
Healthcare
The configurability and extensive API interface of V7 has enabled us to quickly create, customise, deploy and make changes to our labelling processes all through automated communications with our own backend tooling.
Read the full story
Automotive
"We chose V7 because we wanted to build new types of workflows. We had our own system, but we wanted it to accomplish additional tasks, like create other annotation types, re-annotations, annotations on videos—activities that would be a lot of effort in development."
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.
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:
Uncover hidden liabilities
in
supplier contracts.
V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:
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.
+
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.
+