85% faster model creation

AI DCF Model Generation

AI DCF Model Generation

AI DCF Model Generation

AI DCF Model Generation

Build accurate valuations from financial data

Build accurate valuations from financial data

Build accurate valuations from financial data

Build accurate valuations from financial data

V7 Go automates DCF model creation by extracting financial data from multiple sources, applying consistent valuation methodologies, and generating comprehensive sensitivity analyses. Our AI agents build accurate discounted cash flow models with validated assumptions, enabling faster and more reliable investment valuations.

Ideal for

Investment Bankers

Equity Research Analysts

Private Equity Associates

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See DCF Models in action

Play video

DCF Model Creation

  • 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 DCF Models 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 DCF Models 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

Automated Data Integration

Extract and integrate financial data from multiple sources including financial statements, market data, and industry reports automatically.

Consistent Methodology

Apply standardized valuation methodologies and best practices consistently across all DCF models and investment analyses.

Scenario Analysis

Generate multiple scenarios and sensitivity analyses to assess valuation ranges and key assumption impacts automatically.

Assumption Validation

Validate key assumptions against market benchmarks and historical data to ensure model accuracy and reliability.

Error Reduction

Eliminate calculation errors and formula mistakes through automated model building and comprehensive validation checks.

Audit Trail

Maintain complete documentation of data sources, assumptions, and calculations for regulatory compliance and audit purposes.

Get started

Get started

Process financial data and valuation models

Generate accurate investment valuations

Get started

Import your files

,

Import your files from wherever they are currently stored

Import your files from wherever they are currently stored

All types of documents supported

All types of documents supported

The difference

Advanced valuation solutions

for investment professionals

The difference

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

Before

ChatGPT

V7 Go

Manual DCF modeling is time-intensive and error-prone, yet essential for accurate investment valuations and 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 DCF Models

The difference

Advanced valuation solutions

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 DCF Models

Play video

Customer Voices

Customer Voices

Designed for investment professionals 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 complex financial data from multiple sources — annual reports, market feeds, analyst models, and industry databases. V7 Go processes intricate financial statements, extracts key metrics, and integrates disparate data sources into cohesive DCF models through intelligent financial workflows.

Input types

50+ languages

Handwritten

200 pages

Multi-modal

Document types

PDFs

URL

Tables

Graphs

Spreadsheets

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents

with ease

Handle complex financial data from multiple sources — annual reports, market feeds, analyst models, and industry databases. V7 Go processes intricate financial statements, extracts key metrics, and integrates disparate data sources into cohesive DCF models through intelligent financial workflows.

Input types

50+ languages

Handwritten

200 pages

Multi-modal

Document types

PDFs

URL

Tables

Graphs

Spreadsheets

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate through

GenAI reasoning

Apply sophisticated financial modeling logic through multi-step reasoning processes. V7 Go validates assumptions against market benchmarks, cross-checks calculations for consistency, and applies industry-standard valuation methodologies to ensure DCF model accuracy and reliability in investment decisions.

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 modeling logic through multi-step reasoning processes. V7 Go validates assumptions against market benchmarks, cross-checks calculations for consistency, and applies industry-standard valuation methodologies to ensure DCF model accuracy and reliability in investment decisions.

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 DCF calculation and assumption is traceable to its source data, critical for investment committee presentations and regulatory compliance. V7 Go automatically links each model component to specific financial statement line items, enabling auditors and stakeholders to verify valuation methodologies and validate investment decisions with confidence.

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 DCF calculation and assumption is traceable to its source data, critical for investment committee presentations and regulatory compliance. V7 Go automatically links each model component to specific financial statement line items, enabling auditors and stakeholders to verify valuation methodologies and validate investment decisions with confidence.

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 financial data and proprietary valuation models with bank-grade security protocols. V7 Go ensures compliance with financial industry regulations, maintains audit trails for all model changes, and integrates securely with existing financial systems while safeguarding confidential investment strategies and client information.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries

Protect sensitive financial data and proprietary valuation models with bank-grade security protocols. V7 Go ensures compliance with financial industry regulations, maintains audit trails for all model changes, and integrates securely with existing financial systems while safeguarding confidential investment strategies and client information.

Certifications

GPDR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Answers

What you need to know about our

DCF Models

What financial data sources can V7 Go integrate for DCF modeling?

V7 Go can extract data from financial statements, annual reports, market data feeds, analyst reports, and industry databases to build comprehensive DCF models with validated inputs.

+

How does V7 Go ensure DCF model accuracy and reliability?

V7 Go validates assumptions against market benchmarks, performs cross-checks on calculations, and applies industry-standard methodologies to ensure model accuracy and consistency.

+

Can V7 Go handle different DCF modeling approaches and methodologies?

Yes, V7 Go supports various DCF approaches including unlevered and levered models, FCFF and FCFE methodologies, and can adapt to specific industry valuation practices.

+

How does V7 Go handle sensitivity analysis and scenario modeling?

V7 Go automatically generates sensitivity tables, scenario analyses, and Monte Carlo simulations to assess valuation ranges and key driver impacts on enterprise value.

+

Can V7 Go integrate with existing financial modeling platforms?

Yes, V7 Go integrates with Excel, Bloomberg Terminal, FactSet, and other financial platforms, enabling seamless data flow and model updates across your existing workflow.

+

How quickly can V7 Go build a complete DCF model?

V7 Go can build a comprehensive DCF model in 2-4 hours, compared to days of manual work, including data extraction, calculations, and sensitivity analyses.

+

Pilot

Accelerate your valuation workflow

Accelerate your valuation workflow

Join leading investment firms using V7 Go for faster, more accurate DCF modeling

Join leading investment firms using V7 Go for faster, more accurate DCF modeling

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

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