Analyze deals 90% faster
AI Secondary Fund Analysis Agent
Go from data room to NAV bridge in hours
Delegate your entire secondary diligence process to a specialized AI agent. It reads the complex and inconsistent documents in a fund data room to automatically extract underlying company performance, model the fund's NAV, and generate a comprehensive first-pass analysis.

Ideal for
Private Equity Secondaries
Fund-of-Funds
LPs

See AI Secondary Fund Analysis Agent in action
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See AI Secondary Fund Analysis Agent in action
Play video

See AI Secondary Fund Analysis Agent in action
Play video

Secondary Portfolio Diligence
See AI Secondary Fund Analysis Agent in action
Play video
Time comparison
Time comparison
Traditional way
1-3 weeks per deal
With V7 Go agents
1-2 days
Average time saved
90%
Why V7 Go
Why V7 Go
Automated Data Room Processing
Reads and understands the entire data room, intelligently identifying and classifying the inconsistent reports from all underlying fund managers and portfolio companies.
Automated Data Room Processing
Reads and understands the entire data room, intelligently identifying and classifying the inconsistent reports from all underlying fund managers and portfolio companies.
Automated Data Room Processing
Reads and understands the entire data room, intelligently identifying and classifying the inconsistent reports from all underlying fund managers and portfolio companies.
Automated Data Room Processing
Reads and understands the entire data room, intelligently identifying and classifying the inconsistent reports from all underlying fund managers and portfolio companies.
Underlying Asset Data Extraction
Goes deep into the portfolio, extracting key performance indicators (KPIs), valuation marks, and financial data for each of the individual underlying companies.
Underlying Asset Data Extraction
Goes deep into the portfolio, extracting key performance indicators (KPIs), valuation marks, and financial data for each of the individual underlying companies.
Underlying Asset Data Extraction
Goes deep into the portfolio, extracting key performance indicators (KPIs), valuation marks, and financial data for each of the individual underlying companies.
Underlying Asset Data Extraction
Goes deep into the portfolio, extracting key performance indicators (KPIs), valuation marks, and financial data for each of the individual underlying companies.
Fund-Level Financial Consolidation
Aggregates and normalizes the extracted data to build a consolidated, bottoms-up view of the entire fund's performance, exposure, and valuation.
Fund-Level Financial Consolidation
Aggregates and normalizes the extracted data to build a consolidated, bottoms-up view of the entire fund's performance, exposure, and valuation.
Fund-Level Financial Consolidation
Aggregates and normalizes the extracted data to build a consolidated, bottoms-up view of the entire fund's performance, exposure, and valuation.
Fund-Level Financial Consolidation
Aggregates and normalizes the extracted data to build a consolidated, bottoms-up view of the entire fund's performance, exposure, and valuation.
NAV Bridge & Cash Flow Modeling
Uses the consolidated data to build a Net Asset Value (NAV) bridge and model the fund's projected future cash flows, providing the core analysis for your valuation.
NAV Bridge & Cash Flow Modeling
Uses the consolidated data to build a Net Asset Value (NAV) bridge and model the fund's projected future cash flows, providing the core analysis for your valuation.
NAV Bridge & Cash Flow Modeling
Uses the consolidated data to build a Net Asset Value (NAV) bridge and model the fund's projected future cash flows, providing the core analysis for your valuation.
NAV Bridge & Cash Flow Modeling
Uses the consolidated data to build a Net Asset Value (NAV) bridge and model the fund's projected future cash flows, providing the core analysis for your valuation.
LPA & Key Term Abstraction
Analyzes the fund's Limited Partnership Agreement (LPA) to extract the critical terms—waterfall, key person, fees—that impact the economics of the secondary transaction.
LPA & Key Term Abstraction
Analyzes the fund's Limited Partnership Agreement (LPA) to extract the critical terms—waterfall, key person, fees—that impact the economics of the secondary transaction.
LPA & Key Term Abstraction
Analyzes the fund's Limited Partnership Agreement (LPA) to extract the critical terms—waterfall, key person, fees—that impact the economics of the secondary transaction.
LPA & Key Term Abstraction
Analyzes the fund's Limited Partnership Agreement (LPA) to extract the critical terms—waterfall, key person, fees—that impact the economics of the secondary transaction.
Cited for IC & Partner Review
Every number in your analysis is fully auditable. A single click provides a visual citation linking each data point back to the source page in the original manager report from the data room.
Cited for IC & Partner Review
Every number in your analysis is fully auditable. A single click provides a visual citation linking each data point back to the source page in the original manager report from the data room.
Cited for IC & Partner Review
Every number in your analysis is fully auditable. A single click provides a visual citation linking each data point back to the source page in the original manager report from the data room.
Cited for IC & Partner Review
Every number in your analysis is fully auditable. A single click provides a visual citation linking each data point back to the source page in the original manager report from the data room.
Synthesizes the entire universe of underlying fund documents
To build a comprehensive, bottoms-up analysis of any secondary deal.
Get started
Get started
Import your files
Intralinks
,
DealCloud
,
Microsoft Excel
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 the secondaries market.
Connect AI to the secondaries market.
Empower your team to analyze every opportunity with depth and speed.
Empower your team to analyze every opportunity with depth and speed.
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.
Understands the complexity of secondaries.
From PortCo data to fund-level LPAs.
This agent is built for the unique, multi-layered nature of secondary deals. It can read and synthesize information from a vast range of inconsistent document formats, from underlying portfolio company financials to dense legal partnership agreements.
Input types
Multi-Layered Funds
Inconsistent Reports
Complex Tables
Multi-modal
Document types
PDFs
Excel (.xlsx)
LPAs
Capital Account Statements
Data Rooms
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Understands the complexity of secondaries.
From PortCo data to fund-level LPAs.
This agent is built for the unique, multi-layered nature of secondary deals. It can read and synthesize information from a vast range of inconsistent document formats, from underlying portfolio company financials to dense legal partnership agreements.
Input types
Multi-Layered Funds
Inconsistent Reports
Complex Tables
Multi-modal
Document types
PDFs
Excel (.xlsx)
LPAs
Capital Account Statements
Data Rooms
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Understands the complexity of secondaries.
From PortCo data to fund-level LPAs.
This agent is built for the unique, multi-layered nature of secondary deals. It can read and synthesize information from a vast range of inconsistent document formats, from underlying portfolio company financials to dense legal partnership agreements.
Input types
Multi-Layered Funds
Inconsistent Reports
Complex Tables
Multi-modal
Document types
PDFs
Excel (.xlsx)
LPAs
Capital Account Statements
Data Rooms
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Achieve near-perfect accuracy
with AI reasoning.
A good secondaries model depends on accurate data roll-ups. The agent uses AI to precisely extract and normalize financial data from dozens of different sources, ensuring the consolidated portfolio view is reliable.
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.
A good secondaries model depends on accurate data roll-ups. The agent uses AI to precisely extract and normalize financial data from dozens of different sources, ensuring the consolidated portfolio view is reliable.
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.
A good secondaries model depends on accurate data roll-ups. The agent uses AI to precisely extract and normalize financial data from dozens of different sources, ensuring the consolidated portfolio view is reliable.
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 defensible diligence file. Every single number in your analysis, from an underlying company's revenue to a fund-level capital call, is visually linked back to the source document in the VDR for instant verification.

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 defensible diligence file. Every single number in your analysis, from an underlying company's revenue to a fund-level capital call, is visually linked back to the source document in the VDR for instant verification.

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 defensible diligence file. Every single number in your analysis, from an underlying company's revenue to a fund-level capital call, is visually linked back to the source document in the VDR for instant verification.

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.
Secondary deal data rooms contain highly confidential information on LPs and portfolio companies. V7 Go is architected to protect this, processing everything 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.
Secondary deal data rooms contain highly confidential information on LPs and portfolio companies. V7 Go is architected to protect this, processing everything 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.
Secondary deal data rooms contain highly confidential information on LPs and portfolio companies. V7 Go is architected to protect this, processing everything within your secure, private environment.
Certifications
GPDR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
More agents
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Explore more agents to help you
Explore more agents to help you
manage your entire private equity workflow
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Data Room Analysis Agent
Instantly indexes, summarizes, and answers questions from any virtual data room for faster diligence.
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Due Diligence Automation
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VDR Analysis
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Red Flag Detection
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Data Room Analysis Agent
Instantly indexes, summarizes, and answers questions from any virtual data room for faster diligence.
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Data Room Analysis Agent
Instantly indexes, summarizes, and answers questions from any virtual data room for faster diligence.
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Data Room Analysis Agent
Instantly indexes, summarizes, and answers questions from any virtual data room for faster diligence.
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AI LPA Analysis Agent
Automates the review of Limited Partnership Agreements (LPAs) to extract and compare key terms.
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LPA Analysis
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Fund Term Extraction
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Manager Due Diligence
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AI LPA Analysis Agent
Automates the review of Limited Partnership Agreements (LPAs) to extract and compare key terms.
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LPA Analysis
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AI LPA Analysis Agent
Automates the review of Limited Partnership Agreements (LPAs) to extract and compare key terms.
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Fund Term Extraction
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Manager Due Diligence
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AI LPA Analysis Agent
Automates the review of Limited Partnership Agreements (LPAs) to extract and compare key terms.
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LPA Analysis
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Fund Term Extraction
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Manager Due Diligence
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AI Financial Due Diligence Agent
Automates data room analysis to extract financials, normalize data, and identify red flags for faster M&A.
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Data Room Automation
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Financial Spreading
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AI Financial Due Diligence Agent
Automates data room analysis to extract financials, normalize data, and identify red flags for faster M&A.
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Data Room Automation
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AI Financial Due Diligence Agent
Automates data room analysis to extract financials, normalize data, and identify red flags for faster M&A.
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Data Room Automation
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AI Financial Due Diligence Agent
Automates data room analysis to extract financials, normalize data, and identify red flags for faster M&A.
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AI Investment Memo Generation Agent
Automates the drafting of investment memos by populating your templates with data from the CIM and VDR.
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Investment Memo Automation
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AI Investment Memo Generation Agent
Automates the drafting of investment memos by populating your templates with data from the CIM and VDR.
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AI Investment Memo Generation Agent
Automates the drafting of investment memos by populating your templates with data from the CIM and VDR.
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AI Investment Memo Generation Agent
Automates the drafting of investment memos by populating your templates with data from the CIM and VDR.
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AI Fund of Funds Manager Selection Agent
Automates fund manager diligence by extracting and comparing terms from PPMs and DDQs.
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Fund Manager Diligence
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PPM & LPA Analysis
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Fund-of-Funds Automation
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AI Fund of Funds Manager Selection Agent
Automates fund manager diligence by extracting and comparing terms from PPMs and DDQs.
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AI Fund of Funds Manager Selection Agent
Automates fund manager diligence by extracting and comparing terms from PPMs and DDQs.
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Fund Manager Diligence
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AI Fund of Funds Manager Selection Agent
Automates fund manager diligence by extracting and comparing terms from PPMs and DDQs.
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Automates PE deal sourcing by scanning the market for unique, off-market investment opportunities.
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Automates PE deal sourcing by scanning the market for unique, off-market investment opportunities.
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Answers
Answers
What you need to know about our
AI Secondary Fund Analysis Agent
How does it handle the dozens of different reporting formats from the underlying GPs?
V7 Go's AI is specifically designed for this inconsistency. It doesn't use rigid templates; it reads each document contextually to find and normalize the key data, creating a standardized dataset from a chaotic mix of inputs.
+
How does it handle the dozens of different reporting formats from the underlying GPs?
V7 Go's AI is specifically designed for this inconsistency. It doesn't use rigid templates; it reads each document contextually to find and normalize the key data, creating a standardized dataset from a chaotic mix of inputs.
+
How does it handle the dozens of different reporting formats from the underlying GPs?
V7 Go's AI is specifically designed for this inconsistency. It doesn't use rigid templates; it reads each document contextually to find and normalize the key data, creating a standardized dataset from a chaotic mix of inputs.
+
Can it populate our firm's proprietary secondary valuation model in Excel?
Yes, this is a primary use case. We configure the agent to deliver the extracted and consolidated data directly into your custom Excel templates, preserving all your unique formulas and analyses.
+
Can it populate our firm's proprietary secondary valuation model in Excel?
Yes, this is a primary use case. We configure the agent to deliver the extracted and consolidated data directly into your custom Excel templates, preserving all your unique formulas and analyses.
+
Can it populate our firm's proprietary secondary valuation model in Excel?
Yes, this is a primary use case. We configure the agent to deliver the extracted and consolidated data directly into your custom Excel templates, preserving all your unique formulas and analyses.
+
What's the difference between this and the general 'PE Due Diligence Agent'?
This agent is hyper-specialized for the unique, multi-layered complexity of secondary transactions. It's built to consolidate information from many underlying assets, while the standard diligence agent is typically focused on analyzing a single company.
+
What's the difference between this and the general 'PE Due Diligence Agent'?
This agent is hyper-specialized for the unique, multi-layered complexity of secondary transactions. It's built to consolidate information from many underlying assets, while the standard diligence agent is typically focused on analyzing a single company.
+
What's the difference between this and the general 'PE Due Diligence Agent'?
This agent is hyper-specialized for the unique, multi-layered complexity of secondary transactions. It's built to consolidate information from many underlying assets, while the standard diligence agent is typically focused on analyzing a single company.
+
Does the agent provide its own valuation for the fund?
No. It automates the data gathering and modeling required to perform a valuation. The final, strategic judgment on pricing, discounts, and future assumptions is always made by your expert deal team.
+
Does the agent provide its own valuation for the fund?
No. It automates the data gathering and modeling required to perform a valuation. The final, strategic judgment on pricing, discounts, and future assumptions is always made by your expert deal team.
+
Does the agent provide its own valuation for the fund?
No. It automates the data gathering and modeling required to perform a valuation. The final, strategic judgment on pricing, discounts, and future assumptions is always made by your expert deal team.
+
How do we know the consolidated data is accurate?
Through 100% verifiability. Every number in your consolidated model is linked back with a visual citation to the source document. You can instantly trace a portfolio-level KPI back to the specific line item on the specific manager report it came from.
+
How do we know the consolidated data is accurate?
Through 100% verifiability. Every number in your consolidated model is linked back with a visual citation to the source document. You can instantly trace a portfolio-level KPI back to the specific line item on the specific manager report it came from.
+
How do we know the consolidated data is accurate?
Through 100% verifiability. Every number in your consolidated model is linked back with a visual citation to the source document. You can instantly trace a portfolio-level KPI back to the specific line item on the specific manager report it came from.
+
Can it handle a GP-led secondary process as well as an LP-led one?
Yes. The agent is equally effective for analyzing the detailed, asset-level information typical of a GP-led process or for consolidating the LP-level statements common in a portfolio sale.
+
Can it handle a GP-led secondary process as well as an LP-led one?
Yes. The agent is equally effective for analyzing the detailed, asset-level information typical of a GP-led process or for consolidating the LP-level statements common in a portfolio sale.
+
Can it handle a GP-led secondary process as well as an LP-led one?
Yes. The agent is equally effective for analyzing the detailed, asset-level information typical of a GP-led process or for consolidating the LP-level statements common in a portfolio sale.
+
Next steps
Next steps
Is your team getting crushed by the volume of secondary deal flow?
Send us a data room from a recent secondary deal. We'll show you how our AI agent can automate the data consolidation and deliver a complete, model-ready analysis.
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: