85% faster data consolidation

AI Deal Data Processing

AI Deal Data Processing

AI Deal Data Processing

AI Deal Data Processing

Transform scattered information into structured insights

Transform scattered information into structured insights

Transform scattered information into structured insights

Transform scattered information into structured insights

V7 Go consolidates deal data from multiple sources by automatically extracting financial metrics, validating information accuracy, and creating structured datasets. Our AI agents process complex deal documents with precision, enabling faster due diligence and more informed investment decisions.

Ideal for

Investment Analysts

Due Diligence Teams

Portfolio Managers

  • Mercedes-Benz logo
    SMC  logo
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    Centerline logo
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    Alaris logo
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    SITO logo
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    Foobar logo
    ABL logo
    SVG logo for Google
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    Brotherhood Mutual logo
    Black and white abstract graphic.
    Paige logo
    Roche logo
    Logo with abstract shapes and text.
    Sony logo
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    Certainty Sofrware logo
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See Deal Data in action

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Deal Data Analysis

  • 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 Deal Data 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 Deal Data in action

Play video

Time comparison

Traditional review time

3-5 days

3-5 days

With V7 Go

2-4 hours

2-4 hours

Average time saved

85%

85%

Why V7 Go

Multi-Source Integration

Consolidate data from term sheets, financial statements, market research, and due diligence reports into unified datasets.

Data Validation

Automatically validate data consistency across sources and identify discrepancies or missing information.

Structured Output

Generate standardized data formats that integrate seamlessly with analysis tools and investment platforms.

Speed and Accuracy

Process complex deal packages in hours instead of days while maintaining 99% accuracy in data extraction.

Comprehensive Coverage

Extract financial metrics, operational data, market information, and risk factors from diverse document types.

Real-Time Updates

Continuously update datasets as new information becomes available throughout the deal process.

Get started

Get started

Process comprehensive deal information

Extract insights from multiple data sources

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

Intelligent data processing

for investment professionals

The difference

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

Before

ChatGPT

V7 Go

Manual deal data consolidation is extremely time-consuming and error-prone, yet essential for informed investment 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 Deal Data

The difference

Intelligent data processing

for investment 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 Deal Data

Play video

Customer Voices

Customer Voices

Designed for investment professionals who value speed

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 massive deal packages containing hundreds of documents across multiple formats and sources. From financial statements and term sheets to market research and legal agreements, V7 Go processes diverse data types and consolidates them into structured datasets through intelligent workflows designed for investment professionals.

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 massive deal packages containing hundreds of documents across multiple formats and sources. From financial statements and term sheets to market research and legal agreements, V7 Go processes diverse data types and consolidates them into structured datasets through intelligent workflows designed for investment professionals.

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

Apply sophisticated financial reasoning to validate data consistency across multiple sources and deal structures. Our AI agents understand complex financial relationships, identify discrepancies, and ensure data integrity critical for investment decisions where accuracy can impact millions in deal value.

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

Apply sophisticated financial reasoning to validate data consistency across multiple sources and deal structures. Our AI agents understand complex financial relationships, identify discrepancies, and ensure data integrity critical for investment decisions where accuracy can impact millions in deal value.

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 extracted data point is traceable back to its source document with precise citations. This visual grounding is essential for deal analysis where investment committees need to verify financial metrics, validate assumptions, and understand the provenance of critical information before making multi-million dollar decisions.

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 extracted data point is traceable back to its source document with precise citations. This visual grounding is essential for deal analysis where investment committees need to verify financial metrics, validate assumptions, and understand the provenance of critical information before making multi-million dollar decisions.

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 sensitive deal information with bank-grade security designed for financial services. Our platform ensures confidential deal data remains secure while integrating with existing investment platforms and maintaining compliance with financial industry regulations and data protection standards.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries

Protect sensitive deal information with bank-grade security designed for financial services. Our platform ensures confidential deal data remains secure while integrating with existing investment platforms and maintaining compliance with financial industry regulations and data protection standards.

Certifications

GPDR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Answers

What you need to know about our

Deal Data

What types of deal data can V7 Go process and extract?

V7 Go can process financial statements, term sheets, due diligence reports, market research, company presentations, legal documents, and operational data from various sources and formats.

+

How does V7 Go ensure data accuracy and consistency?

V7 Go cross-references data across multiple sources, validates numerical consistency, flags discrepancies, and provides confidence scores for extracted information.

+

Can V7 Go handle different deal structures and industries?

Yes, V7 Go adapts to various deal types including M&A, private equity, venture capital, and real estate transactions across different industries and geographies.

+

How does V7 Go integrate with existing investment platforms?

V7 Go integrates with popular investment platforms including Bloomberg, FactSet, and custom databases through APIs, enabling seamless data transfer and analysis.

+

What security measures protect sensitive deal information?

V7 Go employs enterprise-grade security with SOC 2 Type II certification, end-to-end encryption, and strict access controls to protect confidential deal data.

+

How quickly can V7 Go process a complete deal package?

V7 Go can process comprehensive deal packages in 2-4 hours, compared to days of manual work, providing immediate structured datasets for analysis.

+

Pilot

Accelerate your deal data processing

Accelerate your deal data processing

Join leading investment firms using V7 Go for faster, more accurate deal analysis

Join leading investment firms using V7 Go for faster, more accurate deal analysis

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

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