85% faster quarterly analysis

AI Quarterly Filing Analysis

AI Quarterly Filing Analysis

AI Quarterly Filing Analysis

AI Quarterly Filing Analysis

Track performance trends from 10-Q filings

Track performance trends from 10-Q filings

Track performance trends from 10-Q filings

Track performance trends from 10-Q filings

V7 Go processes 10-Q quarterly filings by automatically extracting financial metrics, identifying material changes, and tracking performance trends across reporting periods. Our AI agents analyze complex quarterly data with precision, enabling faster investment decisions and timely market responses.

Ideal for

Equity Research Analysts

Portfolio Managers

Credit Analysts

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See 10-Q Filings in action

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10-Q Filing 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 10-Q Filings 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 10-Q Filings in action

Play video

Time comparison

Traditional review time

2-3 hours

2-3 hours

With V7 Go

15-20 minutes

15-20 minutes

Average time saved

85%

85%

Why V7 Go

Quarterly Metrics Extraction

Extract key financial metrics, revenue changes, and performance indicators from condensed quarterly statements automatically.

Material Change Detection

Identify significant changes in financial position, operations, and business conditions between quarterly periods.

Trend Analysis

Track performance trends across multiple quarters to identify patterns and forecast future performance.

Management Insights

Analyze management discussion and analysis sections to extract strategic insights and forward-looking statements.

Rapid Quarterly Assessment

Complete quarterly filing analysis in minutes instead of hours, enabling timely investment decisions.

Comparative Analysis

Generate side-by-side comparisons with previous quarters and annual filings for comprehensive analysis.

Get started

Get started

Process quarterly financial reports

Extract performance metrics and trends

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

Specialized AI solutions

for quarterly reporting analysis

The difference

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

Before

ChatGPT

V7 Go

Manual 10-Q analysis requires hours of detailed review to track quarterly changes, yet timely insights are critical for 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 10-Q Filings

The difference

Specialized AI solutions

for quarterly reporting analysis

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 10-Q Filings

Play video

Customer Voices

Customer Voices

Designed for analysts who track quarterly performance

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 quarterly filings with condensed financial statements, management discussions, and complex footnotes. V7 Go processes XBRL data, HTML formats, and traditional PDFs, extracting key metrics from dense quarterly reports and transforming them into structured, comparable data for immediate analysis.

Input types

50+ languages

Handwritten

200 pages

Multi-modal

Document types

PDFs

URL

Tables

Graphs

XBRL Data

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents

with ease

Handle quarterly filings with condensed financial statements, management discussions, and complex footnotes. V7 Go processes XBRL data, HTML formats, and traditional PDFs, extracting key metrics from dense quarterly reports and transforming them into structured, comparable data for immediate analysis.

Input types

50+ languages

Handwritten

200 pages

Multi-modal

Document types

PDFs

URL

Tables

Graphs

XBRL Data

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate through

GenAI reasoning

Quarterly financial analysis demands precision in identifying material changes and calculating variance percentages. V7 Go combines specialized financial models with validation workflows to ensure accurate extraction of quarterly metrics, segment performance data, and management commentary insights that investment professionals rely on.

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

Quarterly financial analysis demands precision in identifying material changes and calculating variance percentages. V7 Go combines specialized financial models with validation workflows to ensure accurate extraction of quarterly metrics, segment performance data, and management commentary insights that investment professionals rely on.

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

In quarterly analysis, every extracted metric must be verifiable for investment decisions. V7 Go automatically highlights the exact sections where financial data was found, enabling analysts to quickly verify quarterly changes, trace management statements to source text, and build confidence in time-sensitive investment recommendations.

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

In quarterly analysis, every extracted metric must be verifiable for investment decisions. V7 Go automatically highlights the exact sections where financial data was found, enabling analysts to quickly verify quarterly changes, trace management statements to source text, and build confidence in time-sensitive investment recommendations.

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

Financial services require the highest security standards for processing sensitive quarterly filings. V7 Go meets SOC 2 Type II requirements, provides audit trails for all extracted data, and integrates securely with existing financial analysis platforms while maintaining strict compliance with regulatory data handling requirements.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries

Financial services require the highest security standards for processing sensitive quarterly filings. V7 Go meets SOC 2 Type II requirements, provides audit trails for all extracted data, and integrates securely with existing financial analysis platforms while maintaining strict compliance with regulatory data handling requirements.

Certifications

GPDR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Answers

What you need to know about our

10-Q Filings

What specific data can V7 Go extract from 10-Q filings?

V7 Go extracts quarterly financial statements, revenue breakdowns, material changes, management commentary, legal proceedings updates, and key performance metrics from 10-Q filings with high precision.

+

How does V7 Go handle quarterly comparisons?

V7 Go automatically compares current quarter data with previous quarters and year-over-year periods, highlighting material changes and calculating variance percentages for key metrics.

+

Can V7 Go process different 10-Q filing formats?

Yes, V7 Go processes various 10-Q formats including HTML, XBRL, and PDF versions, adapting to different company reporting structures and quarterly disclosure requirements.

+

How quickly can V7 Go analyze a 10-Q filing?

V7 Go can analyze a complete 10-Q filing in 15-20 minutes, compared to 2-3 hours of manual review, providing immediate quarterly insights and trend analysis.

+

Does V7 Go identify material events in 10-Q filings?

Yes, V7 Go automatically identifies and flags material events, significant accounting changes, legal proceedings updates, and other important disclosures within 10-Q filings.

+

How does V7 Go ensure accuracy in quarterly analysis?

V7 Go uses specialized financial AI models with built-in validation checks, cross-references multiple sections for consistency, and provides source citations for all extracted data points.

+

Pilot

Accelerate your quarterly analysis workflow

Accelerate your quarterly analysis workflow

Join leading investment firms using V7 Go for faster quarterly insights

Join leading investment firms using V7 Go for faster quarterly insights

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

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