85% faster multimodal analysis

AI Multimodal Data Processing

AI Multimodal Data Processing

AI Multimodal Data Processing

AI Multimodal Data Processing

Unify text, images, audio, and video analysis

Unify text, images, audio, and video analysis

Unify text, images, audio, and video analysis

Unify text, images, audio, and video analysis

V7 Go processes multimodal data by automatically analyzing text, images, audio, and video content in unified workflows. Our AI agents extract insights across different data types, enabling comprehensive analysis that traditional single-modal tools cannot achieve.

Ideal for

Data Scientists

Research Analysts

Content Managers

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    Brotherhood Mutual logo
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See Multimodal Data in action

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Multimodal 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 Multimodal 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 Multimodal Data in action

Play video

Time comparison

Traditional review time

3-5 days

3-5 days

With V7 Go

4-6 hours

4-6 hours

Average time saved

85%

85%

Why V7 Go

Unified Data Analysis

Process text, images, audio, and video files in single workflows, eliminating the need for separate tools and manual data correlation.

Cross-Modal Insights

Discover connections and patterns across different data types that single-modal analysis tools would miss completely.

Comprehensive Understanding

Extract meaning from complex data combinations including visual content, spoken words, and written documentation simultaneously.

Scalable Processing

Handle large volumes of mixed data types efficiently, from individual files to massive data repositories with consistent accuracy.

Contextual Intelligence

Understand context and relationships between different data modalities to provide richer, more accurate analysis results.

Flexible Integration

Integrate with existing data pipelines and business systems to enhance current workflows without disrupting operations.

Get started

Get started

Process diverse data types and formats

Extract unified insights across modalities

Get started

Logo

Import your files

AWS

,

,

Import your files from wherever they are currently stored

Import your files from wherever they are currently stored

The difference

Intelligent multimodal solutions

for data-driven organizations

The difference

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

Before

ChatGPT

V7 Go

Manual multimodal data analysis requires separate tools and fragmented workflows, yet comprehensive insights are essential for decision-making.

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 Multimodal Data

The difference

Intelligent multimodal solutions

for data-driven organizations

The difference

Business 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 Multimodal Data

Play video

Customer Voices

Customer Voices

Designed for data teams who need comprehensive insights

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 diverse multimodal datasets seamlessly — from video presentations with embedded charts to audio recordings with accompanying documents. V7 Go processes text, images, audio, and video simultaneously, extracting comprehensive insights that traditional single-modal tools miss entirely.

Input types

50+ languages

Handwritten

200 pages

Multi-modal

Document types

PDFs

URL

Tables

Graphs

Video Files

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents

with ease

Handle diverse multimodal datasets seamlessly — from video presentations with embedded charts to audio recordings with accompanying documents. V7 Go processes text, images, audio, and video simultaneously, extracting comprehensive insights that traditional single-modal tools miss entirely.

Input types

50+ languages

Handwritten

200 pages

Multi-modal

Document types

PDFs

URL

Tables

Graphs

Video Files

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate through

GenAI reasoning

Achieve exceptional accuracy in multimodal analysis through advanced AI reasoning that understands context across different data types. Our system correlates visual, textual, and audio information to deliver insights that single-modal approaches cannot match, ensuring reliable results for critical business 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

Achieve exceptional accuracy in multimodal analysis through advanced AI reasoning that understands context across different data types. Our system correlates visual, textual, and audio information to deliver insights that single-modal approaches cannot match, ensuring reliable results for critical business 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 insight from multimodal analysis is traceable to its source across all data types. Whether extracting information from video timestamps, image regions, or document sections, V7 Go provides visual citations that let you verify findings and understand exactly where each piece of information originated.

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 insight from multimodal analysis is traceable to its source across all data types. Whether extracting information from video timestamps, image regions, or document sections, V7 Go provides visual citations that let you verify findings and understand exactly where each piece of information originated.

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 multimodal data with enterprise-grade security designed for diverse content types. From confidential video recordings to proprietary documents, V7 Go ensures comprehensive data protection while maintaining processing efficiency across all modalities and compliance requirements.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries

Protect sensitive multimodal data with enterprise-grade security designed for diverse content types. From confidential video recordings to proprietary documents, V7 Go ensures comprehensive data protection while maintaining processing efficiency across all modalities and compliance requirements.

Certifications

GPDR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Answers

What you need to know about our

Multimodal Data

What types of multimodal data can V7 Go process?

V7 Go can process text documents, images, audio recordings, video files, and mixed data bundles, extracting insights across all modalities in unified workflows with high accuracy.

+

How does V7 Go handle different file formats and sizes?

V7 Go supports hundreds of file formats and can process files from small documents to large video files, automatically optimizing processing based on content type and size.

+

Can V7 Go identify relationships between different data types?

Yes, V7 Go's AI agents are designed to identify connections and patterns across different modalities, providing comprehensive insights that single-modal tools cannot achieve.

+

How does V7 Go ensure data security for sensitive multimodal content?

V7 Go employs enterprise-grade security with end-to-end encryption, secure processing environments, and compliance with data protection standards for all data types.

+

Can V7 Go integrate with existing data management systems?

Yes, V7 Go integrates with popular data platforms, cloud storage systems, and business applications through APIs and standard data exchange formats.

+

How quickly can V7 Go process large multimodal datasets?

V7 Go can process multimodal datasets 85% faster than traditional methods, with parallel processing capabilities that scale based on data volume and complexity.

+

Pilot

Unify your multimodal data analysis

Unify your multimodal data analysis

Join innovative teams using V7 Go for comprehensive data insights

Join innovative teams using V7 Go for comprehensive data insights

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

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