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

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    Alaris logo
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    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
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See AI Secondary Fund Analysis Agent in action

Play video

  • Mercedes-Benz logo
    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI Secondary Fund Analysis Agent in action

Play video

  • Mercedes-Benz logo
    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI Secondary Fund Analysis Agent in action

Play video

Secondary Portfolio Diligence

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    SMC  logo
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    Centerline logo
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    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

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

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

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

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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:

  • Mercedes-Benz logo
    SMC  logo
    Centerline 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
    Centerline logo
    Alaris logo