85% faster validation

AI Fairness Opinion Analysis

AI Fairness Opinion Analysis

AI Fairness Opinion Analysis

AI Fairness Opinion Analysis

Validate transaction fairness with precision

Validate transaction fairness with precision

Validate transaction fairness with precision

Validate transaction fairness with precision

V7 Go automates fairness opinion analysis by extracting valuation methodologies, validating financial assumptions, and assessing transaction reasonableness. Our AI agents process complex financial opinions with expert precision, enabling faster M&A decisions and regulatory compliance.

Ideal for

Investment Bankers

M&A Advisors

Corporate Development

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    Brotherhood Mutual logo
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See Fairness Opinions in action

Play video

Fairness Opinion Review

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

See Fairness Opinions in action

Play video

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

See Fairness Opinions in action

Play video

Time comparison

Traditional review time

4-6 hours

4-6 hours

With V7 Go

30-45 minutes

30-45 minutes

Average time saved

85%

85%

Why V7 Go

Valuation Method Extraction

Automatically identify and extract DCF, comparable company, and precedent transaction methodologies with supporting assumptions.

Assumption Validation

Validate financial assumptions against market data and identify potential inconsistencies or outliers in valuation models.

Comparable Analysis

Extract and analyze comparable company multiples and precedent transactions to assess valuation reasonableness.

Regulatory Compliance

Ensure fairness opinions meet regulatory requirements and identify any missing disclosures or compliance gaps.

Risk Assessment

Identify valuation risks, sensitivity analyses, and key assumptions that could impact transaction fairness conclusions.

Decision Support

Generate structured summaries and recommendations to support board decisions and stakeholder communications.

Get started

Get started

Process M&A valuation documents

Extract insights and validate assumptions

Get started

Import your files

,

Import your files from wherever they are currently stored

Import your files from wherever they are currently stored

The difference

Expert valuation analysis

for investment banking professionals

The difference

Finance teams work is about to make it's biggest shift in a century

Before

ChatGPT

V7 Go

Manual fairness opinion analysis requires extensive financial modeling expertise and is time-sensitive for M&A decisions.

Real competitive advantage comes from purpose-built AI systems, not off-the-shelf generic LLMs

Multiple agents available to do the work

Are there any clauses in our vendor contracts that create exposure or conflict with our standard terms?

Select and tailor agents to perfectly align with the specifics of your Fairness Opinions

The difference

Expert valuation analysis

for investment banking professionals

The difference

Finance teams work is about to make it's biggest shift in a century

Before

ChatGPT

V7 Go

Analysts spend days manually reading 100+ page documents trying to spot subtle year-over-year changes in risk disclosures and MD&A.

Real competitive advantage comes from purpose-built AI systems, not off-the-shelf generic LLMs

Play video

Multiple agents available to do the work

Are there any clauses in our vendor contracts that create exposure or conflict with our standard terms?

Select and tailor agents to perfectly align with the specifics of your Fairness Opinions

Play video

Customer Voices

Customer Voices

Designed for investment bankers who demand accuracy

Trusted by global teams delivering real impact

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

with ease

Handle sophisticated fairness opinions with intricate valuation models, complex financial tables, and detailed assumptions. V7 Go processes multi-methodology analyses, comparable company data, and precedent transactions, extracting precise valuation metrics from even the most complex investment banking documents.

Input types

50+ languages

Handwritten

200 pages

Multi-modal

Document types

PDFs

URL

Tables

Graphs

Financial Models

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents

with ease

Handle sophisticated fairness opinions with intricate valuation models, complex financial tables, and detailed assumptions. V7 Go processes multi-methodology analyses, comparable company data, and precedent transactions, extracting precise valuation metrics from even the most complex investment banking documents.

Input types

50+ languages

Handwritten

200 pages

Multi-modal

Document types

PDFs

URL

Tables

Graphs

Financial Models

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate through

GenAI reasoning

Achieve investment-grade accuracy in fairness opinion analysis through sophisticated financial reasoning. V7 Go validates DCF assumptions, cross-references market multiples, and identifies valuation inconsistencies with the precision required for high-stakes M&A transactions and regulatory compliance.

Model providers

OpenAI, Anthropic, Gemini logos

Security note

V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.

Answer

Type

Text

Tool

o4 Mini

Reasoning effort

Min

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Reach 99% accuracy rate through

GenAI reasoning

Achieve investment-grade accuracy in fairness opinion analysis through sophisticated financial reasoning. V7 Go validates DCF assumptions, cross-references market multiples, and identifies valuation inconsistencies with the precision required for high-stakes M&A transactions and regulatory compliance.

Model providers

OpenAI, Anthropic, Gemini logos

Security note

V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.

Answer

Type

Text

Tool

o4 Mini

Reasoning effort

Min

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Trustworthy results,

grounded in reality

Every valuation metric and assumption extracted from fairness opinions is traceable to its source. This visual grounding is critical for M&A professionals who need to verify methodologies, validate assumptions, and present findings to boards and regulators with complete confidence in the analysis.

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

Every valuation metric and assumption extracted from fairness opinions is traceable to its source. This visual grounding is critical for M&A professionals who need to verify methodologies, validate assumptions, and present findings to boards and regulators with complete confidence in the analysis.

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

Protect confidential M&A information with bank-grade security designed for investment banking workflows. V7 Go meets the stringent compliance requirements of financial institutions while seamlessly integrating with existing deal management platforms and regulatory reporting systems.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries

Protect confidential M&A information with bank-grade security designed for investment banking workflows. V7 Go meets the stringent compliance requirements of financial institutions while seamlessly integrating with existing deal management platforms and regulatory reporting systems.

Certifications

GPDR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Answers

What you need to know about our

Fairness Opinions

What valuation methods can V7 Go extract from fairness opinions?

V7 Go can extract DCF analyses, comparable company multiples, precedent transactions, asset-based valuations, and other methodologies, including their underlying assumptions and sensitivity analyses.

+

How does V7 Go validate fairness opinion assumptions?

V7 Go cross-references assumptions against market data, identifies outliers, and flags inconsistencies across valuation methods to ensure reasonableness and accuracy.

+

Can V7 Go handle different fairness opinion formats and structures?

Yes, V7 Go processes various fairness opinion formats from different investment banks, adapting to different structures, layouts, and presentation styles while maintaining accuracy.

+

How does V7 Go ensure confidentiality of sensitive M&A information?

V7 Go employs bank-grade security with SOC 2 Type II certification, end-to-end encryption, and strict access controls to protect confidential transaction information.

+

Can V7 Go integrate with existing M&A workflow tools?

Yes, V7 Go integrates with popular M&A platforms including Ansa, DealRoom, and custom databases through APIs and structured data exports.

+

How quickly can V7 Go analyze a fairness opinion?

V7 Go can analyze a complete fairness opinion in 30-45 minutes, compared to hours of manual review, providing immediate insights for decision-making.

+

Pilot

Accelerate your fairness opinion analysis

Accelerate your fairness opinion analysis

Join leading investment banks using V7 Go for faster M&A decisions

Join leading investment banks using V7 Go for faster M&A decisions

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

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