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Compare

V7 vs. Scale AI

V7 vs. Scale AI

V7 vs. Scale AI

Searching for a good Scale AI alternative?

Searching for a good Scale AI alternative?

Searching for a good Scale AI alternative?

Evaluating Scale AI as an enterprise AI data platform

Evaluating Scale AI as an enterprise AI data platform

V7

vs.

V7

vs.

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Why choose V7 over Scale AI?

Scale AI focuses on data annotation for AI training, while V7 Go provides end-to-end document workflow automation with specialized AI agents.

Overview

Overview

Document Workflow Focus

V7 Go provides pre-built AI agents for automating document-centric business processes, while Scale AI focuses on data annotation services for training AI models.

Faster Time to Value

V7 Go delivers free proofs of concept and measurable outcomes within 11 days, compared to Scale AI's longer enterprise sales cycles and custom contract negotiations.

Visual Grounding for Compliance

V7 Go traces every AI output to its exact source location in documents, creating audit trails for SOX, HIPAA, and KYC/AML compliance requirements.

Features

Features

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What makes V7 Go the best Scale AI alternative

Compare capabilities for enterprise AI automation

Features

Features

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V7

Scale AI

vs.

Pre-built AI agents

Pre-built AI agents

Pre-built AI agents

Pre-built AI agents

Specialized agents for finance, legal, insurance, and real estate ready to deploy

Specialized agents for finance, legal, insurance, and real estate ready to deploy

V7

Specialized agents for finance, legal, insurance, and real estate ready to deploy

Specialized agents for finance, legal, insurance, and real estate ready to deploy

GenAI Platform enables custom AI application development rather than pre-built agents

GenAI Platform enables custom AI application development rather than pre-built agents

Scale AI

GenAI Platform enables custom AI application development rather than pre-built agents

GenAI Platform enables custom AI application development rather than pre-built agents

Visual source grounding

AI citations trace every output to exact source locations in documents

AI citations trace every output to exact source locations in documents

V7

AI citations trace every output to exact source locations in documents

AI citations trace every output to exact source locations in documents

Annotation platform does not provide document-level source tracing for outputs

Annotation platform does not provide document-level source tracing for outputs

Scale AI

Annotation platform does not provide document-level source tracing for outputs

Annotation platform does not provide document-level source tracing for outputs

Document workflow automation

End-to-end automation for due diligence, contract review, claims processing

End-to-end automation for due diligence, contract review, claims processing

V7

End-to-end automation for due diligence, contract review, claims processing

End-to-end automation for due diligence, contract review, claims processing

Focuses on data annotation rather than business workflow automation

Focuses on data annotation rather than business workflow automation

Scale AI

Focuses on data annotation rather than business workflow automation

Focuses on data annotation rather than business workflow automation

Data annotation services

Focus on document processing rather than annotation for model training

Focus on document processing rather than annotation for model training

V7

Focus on document processing rather than annotation for model training

Focus on document processing rather than annotation for model training

Industry-leading annotation services for autonomous vehicles, robotics, and AI training

Industry-leading annotation services for autonomous vehicles, robotics, and AI training

Scale AI

Industry-leading annotation services for autonomous vehicles, robotics, and AI training

Industry-leading annotation services for autonomous vehicles, robotics, and AI training

Enterprise support

Dedicated solution engineers build custom integrations and agents

Dedicated solution engineers build custom integrations and agents

V7

Dedicated solution engineers build custom integrations and agents

Dedicated solution engineers build custom integrations and agents

Dedicated customer operations support with enterprise-grade SLAs

Dedicated customer operations support with enterprise-grade SLAs

Scale AI

Dedicated customer operations support with enterprise-grade SLAs

Dedicated customer operations support with enterprise-grade SLAs

Time to deployment

Free POC and measurable outcomes within 11 days of first contact

Free POC and measurable outcomes within 11 days of first contact

V7

Free POC and measurable outcomes within 11 days of first contact

Free POC and measurable outcomes within 11 days of first contact

Enterprise sales cycles with custom contract negotiations required

Enterprise sales cycles with custom contract negotiations required

Scale AI

Enterprise sales cycles with custom contract negotiations required

Enterprise sales cycles with custom contract negotiations required

Pricing

Pricing

Get started

Pricing

Scale AI pricing explained

Comparing custom enterprise contracts vs usage-based pricing

Features

Features

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Features

V7

V7 Go pricing is structured around a base platform fee that includes access to the V7 platform with AI agents, plus user licenses and data processing charges based on actual usage and document volume. The platform offers predictable pricing that scales with your needs, and premium white-glove service includes building custom integrations with legacy systems, designing industry-specific AI agents by expert solution engineers, and providing hands-on implementation support with free proofs of concept.

V7 Go pricing is structured around a base platform fee that includes access to the V7 platform with AI agents, plus user licenses and data processing charges based on actual usage and document volume. The platform offers predictable pricing that scales with your needs, and premium white-glove service includes building custom integrations with legacy systems, designing industry-specific AI agents by expert solution engineers, and providing hands-on implementation support with free proofs of concept.

Base platform fee plus user licenses and usage-based data processing charges

Base platform fee plus user licenses and usage-based data processing charges

Base platform fee plus user licenses and usage-based data processing charges

Base platform fee plus user licenses and usage-based data processing charges

Free proof of concept with sample documents before commitment

Free proof of concept with sample documents before commitment

Free proof of concept with sample documents before commitment

Free proof of concept with sample documents before commitment

White-glove service includes custom integrations and specialized agent development

White-glove service includes custom integrations and specialized agent development

White-glove service includes custom integrations and specialized agent development

White-glove service includes custom integrations and specialized agent development

Scale AI

Scale AI uses custom enterprise pricing based on data volume, task complexity, and required service levels. Enterprise contracts typically average around $93,000 per year, with many deals ranging from $100,000 to $400,000+ annually. The platform offers both enterprise solutions with dedicated support and SLAs, and self-serve options for experimental projects with pay-as-you-go pricing. Per-label costs for simple tasks range from $0.02-$0.10 per image, while expert tasks can exceed $40 per hour.

Scale AI uses custom enterprise pricing based on data volume, task complexity, and required service levels. Enterprise contracts typically average around $93,000 per year, with many deals ranging from $100,000 to $400,000+ annually. The platform offers both enterprise solutions with dedicated support and SLAs, and self-serve options for experimental projects with pay-as-you-go pricing. Per-label costs for simple tasks range from $0.02-$0.10 per image, while expert tasks can exceed $40 per hour.

Enterprise contracts typically range from $100K to $400K+ annually

Enterprise contracts typically range from $100K to $400K+ annually

Enterprise contracts typically range from $100K to $400K+ annually

Enterprise contracts typically range from $100K to $400K+ annually

Self-serve tier available with free initial labeling units for experimentation

Self-serve tier available with free initial labeling units for experimentation

Self-serve tier available with free initial labeling units for experimentation

Self-serve tier available with free initial labeling units for experimentation

Custom pricing based on data volume, task complexity, and SLA requirements

Custom pricing based on data volume, task complexity, and SLA requirements

Custom pricing based on data volume, task complexity, and SLA requirements

Custom pricing based on data volume, task complexity, and SLA requirements

Comparison

Comparison

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Comparison

Comparing V7 Go and Scale AI capabilities

Understanding pricing models and enterprise value

Features

Features

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Features

V7

Enterprise AI automation platform with specialized document agents

V7 Go is an enterprise AI automation platform designed for document-intensive workflows in regulated industries including finance, legal, insurance, and real estate. Rather than focusing on data annotation for AI training, V7 Go provides pre-built specialized AI agents that automate business processes like due diligence, contract review, claims processing, and lease abstraction. The platform features visual grounding that traces every AI output to its source document for compliance and auditability. V7 Go includes white-glove service with solution engineers who build custom integrations and design industry-specific agents, delivering measurable outcomes within 11 days.

Scale AI

Enterprise data annotation and AI data operations platform

Scale AI is an enterprise-focused provider of AI data operations and annotation services that power commercial AI deployments across industries. The platform offers two main product lines: the Data Engine for data annotation and management, and the GenAI Platform for building customized generative AI applications. Scale AI serves major technology companies and enterprises building autonomous vehicles, robotics systems, and advanced AI applications. Enterprise contracts typically range from $100,000 to $400,000+ annually, with pricing based on data volume, task complexity, and required service levels. The platform also offers self-serve options for research and experimental projects.

Testimonials

Testimonials

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Testimonials

Trusted by teams shipping AI to production

What customers say after choosing V7 Go

Features

Features

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Features

Integrate with 2000+ apps and services

Connect your favorite apps:

Connect your favorite apps:

Connect your favorite apps:

  • Using V7 Go to automate our diligence process led to a 35% productivity increase.

    Centerline

    Using V7 Go to automate our diligence process led to a 35% productivity increase.

    Centerline

    Using V7 Go to automate our diligence process led to a 35% productivity increase.

    Centerline

  • The experience with V7 has been fantastic. Very customized level of support.

    Alaris

    The experience with V7 has been fantastic. Very customized level of support.

    Alaris

    The experience with V7 has been fantastic. Very customized level of support.

    Alaris

  • V7 enables us to process complex documents at scale through an intuitive and powerful UI

    Pinsent Masons

    V7 enables us to process complex documents at scale through an intuitive and powerful UI

    Pinsent Masons

    V7 enables us to process complex documents at scale through an intuitive and powerful UI

    Pinsent Masons

  • V7 Go enabled us to process financial statements 21x faster while also increasing accuracy by 54% .

    Star Mountain

    V7 Go enabled us to process financial statements 21x faster while also increasing accuracy by 54% .

    Star Mountain

    V7 Go enabled us to process financial statements 21x faster while also increasing accuracy by 54% .

    Star Mountain

  • Using V7 Go to automate our diligence process led to a 35% productivity increase.

    Centerline

  • The experience with V7 has been fantastic. Very customized level of support.

    Alaris

  • V7 enables us to process complex documents at scale through an intuitive and powerful UI

    Pinsent Masons

  • V7 Go enabled us to process financial statements 21x faster while also increasing accuracy by 54% .

    Star Mountain

Learn more

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Learn more

Everything you need to run AI in production

A complete platform for document intelligence and workflows

Features

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Features

Your Entire Tech Stack, Perfectly Connected

1,000+ Integrations Across Your Entire Stack

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Connect every tool your teams rely on — from CRM to finance to devops — all in a single platform.

Your Entire Tech Stack, Perfectly Connected

1,000+ Integrations Across Your Entire Stack

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Connect every tool your teams rely on — from CRM to finance to devops — all in a single platform.

Your Entire Tech Stack, Perfectly Connected

1,000+ Integrations Across Your Entire Stack

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Connect every tool your teams rely on — from CRM to finance to devops — all in a single platform.

Your Entire Tech Stack, Perfectly Connected

1,000+ Integrations Across Your Entire Stack

Logo
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Connect every tool your teams rely on — from CRM to finance to devops — all in a single platform.

The Foundation

Security You Can Trust, Compliance You Can Prove

ISO, HIPAA, SOC 2, GDPR and more — your data stays protected under world-class security and governance.

The Foundation

Security You Can Trust, Compliance You Can Prove

ISO, HIPAA, SOC 2, GDPR and more — your data stays protected under world-class security and governance.

The Foundation

Security You Can Trust, Compliance You Can Prove

ISO, HIPAA, SOC 2, GDPR and more — your data stays protected under world-class security and governance.

The Foundation

Security You Can Trust, Compliance You Can Prove

ISO, HIPAA, SOC 2, GDPR and more — your data stays protected under world-class security and governance.

Unity Across Emails, Files, Documents & Data

Works With Everything You Already Use

Data

Calls

Files

Deals

Emails

People

Paper Docs

Customers

Documents

Conversations

Calls

Data

Deals

Files

People

Emails

Customers

Paper Docs

Conversations

Documents

Data

Calls

Files

Deals

Emails

People

Paper Docs

Customers

Documents

Conversations

Calls

Data

Deals

Files

People

Emails

V7 ingests emails, meetings, PDFs, paper scans, conversations, data sources, customer records, contracts — and makes them instantly usable.

Unity Across Emails, Files, Documents & Data

Works With Everything You Already Use

Data

Calls

Files

Deals

Emails

People

Paper Docs

Customers

Documents

Conversations

Calls

Data

Deals

Files

People

Emails

Customers

Paper Docs

Conversations

Documents

Data

Calls

Files

Deals

Emails

People

Paper Docs

Customers

Documents

Conversations

Calls

Data

Deals

Files

People

Emails

V7 ingests emails, meetings, PDFs, paper scans, conversations, data sources, customer records, contracts — and makes them instantly usable.

Unity Across Emails, Files, Documents & Data

Works With Everything You Already Use

Data

Calls

Files

Deals

Emails

People

Paper Docs

Customers

Documents

Conversations

Calls

Data

Deals

Files

People

Emails

Customers

Paper Docs

Conversations

Documents

Data

Calls

Files

Deals

Emails

People

Paper Docs

Customers

Documents

Conversations

Calls

Data

Deals

Files

People

Emails

V7 ingests emails, meetings, PDFs, paper scans, conversations, data sources, customer records, contracts — and makes them instantly usable.

Unity Across Emails, Files, Documents & Data

Works With Everything You Already Use

Data

Calls

Files

Deals

Emails

People

Paper Docs

Customers

Documents

Conversations

Calls

Data

Deals

Files

People

Emails

Customers

Paper Docs

Conversations

Documents

Data

Calls

Files

Deals

Emails

People

Paper Docs

Customers

Documents

Conversations

Calls

Data

Deals

Files

People

Emails

V7 ingests emails, meetings, PDFs, paper scans, conversations, data sources, customer records, contracts — and makes them instantly usable.

Multi-Model Power, Zero Lock-In

Integrations That Actually Integrate

Connect every tool your teams rely on — from CRM and finance to DevOps and data systems — all flowing through a single platform.

Multi-Model Power, Zero Lock-In

Integrations That Actually Integrate

Connect every tool your teams rely on — from CRM and finance to DevOps and data systems — all flowing through a single platform.

Multi-Model Power, Zero Lock-In

Integrations That Actually Integrate

Connect every tool your teams rely on — from CRM and finance to DevOps and data systems — all flowing through a single platform.

Multi-Model Power, Zero Lock-In

Integrations That Actually Integrate

Connect every tool your teams rely on — from CRM and finance to DevOps and data systems — all flowing through a single platform.

A New Class of AI Agents

300+ Expert-Built Agents for Real Work

Designed by industry leaders and deeply connected to your business — V7 Agents execute workflows with contextual, up-to-date intelligence.

A New Class of AI Agents

300+ Expert-Built Agents for Real Work

Designed by industry leaders and deeply connected to your business — V7 Agents execute workflows with contextual, up-to-date intelligence.

A New Class of AI Agents

300+ Expert-Built Agents for Real Work

Designed by industry leaders and deeply connected to your business — V7 Agents execute workflows with contextual, up-to-date intelligence.

A New Class of AI Agents

300+ Expert-Built Agents for Real Work

Designed by industry leaders and deeply connected to your business — V7 Agents execute workflows with contextual, up-to-date intelligence.

Features

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Features

From First Call to Commercials in 11 Days

A Fast, Proven Path to Value

Day 1

Introductory Call

Day 2

POC Scoping

Day 3

POC Kickoff

Day 5

POC Check-in

Day 10

POC Results Review

Day 11

Commercial discussions

Intro call, POC scoping, kickoff, check-ins, results review and commercial discussion — V7 moves from first contact to measurable outcomes in just 11 days.

From First Call to Commercials in 11 Days

A Fast, Proven Path to Value

Day 1

Introductory Call

Day 2

POC Scoping

Day 3

POC Kickoff

Day 5

POC Check-in

Day 10

POC Results Review

Day 11

Commercial discussions

Intro call, POC scoping, kickoff, check-ins, results review and commercial discussion — V7 moves from first contact to measurable outcomes in just 11 days.

From First Call to Commercials in 11 Days

A Fast, Proven Path to Value

Day 1

Introductory Call

Day 2

POC Scoping

Day 3

POC Kickoff

Day 5

POC Check-in

Day 10

POC Results Review

Day 11

Commercial discussions

Intro call, POC scoping, kickoff, check-ins, results review and commercial discussion — V7 moves from first contact to measurable outcomes in just 11 days.

From First Call to Commercials in 11 Days

A Fast, Proven Path to Value

Day 1

Introductory Call

Day 2

POC Scoping

Day 3

POC Kickoff

Day 5

POC Check-in

Day 10

POC Results Review

Day 11

Commercial discussions

Intro call, POC scoping, kickoff, check-ins, results review and commercial discussion — V7 moves from first contact to measurable outcomes in just 11 days.

Configure Anything to Fit Your Workflow

Built to Adapt. Designed Without Limits.

Answer

Type

Text

Tool

o4 Mini

Reasoning effort

Min

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Customize every workflow, rule, interface and reasoning step. Adjust prompts, models, inputs, outputs, citations and integrations — full flexibility with zero constraints.

Configure Anything to Fit Your Workflow

Built to Adapt. Designed Without Limits.

Answer

Type

Text

Tool

o4 Mini

Reasoning effort

Min

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Customize every workflow, rule, interface and reasoning step. Adjust prompts, models, inputs, outputs, citations and integrations — full flexibility with zero constraints.

Configure Anything to Fit Your Workflow

Built to Adapt. Designed Without Limits.

Answer

Type

Text

Tool

o4 Mini

Reasoning effort

Min

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Customize every workflow, rule, interface and reasoning step. Adjust prompts, models, inputs, outputs, citations and integrations — full flexibility with zero constraints.

Configure Anything to Fit Your Workflow

Built to Adapt. Designed Without Limits.

Answer

Type

Text

Tool

o4 Mini

Reasoning effort

Min

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Customize every workflow, rule, interface and reasoning step. Adjust prompts, models, inputs, outputs, citations and integrations — full flexibility with zero constraints.

Index Knowledge

All Knowledge in One Place

Investment memo generation

AI contract review

Property valuation AI

Claims processing automation

Financial statement analysis

Real estate lease abstraction

Portfolio management automation

Offering memorandum analysis

Insurance claims automation

OCR + data extraction

Due diligence automation

Pitch deck analysis

Document processing AI

Investment banking analysis

Insurance underwriting automation

Data room analysis

10-Q report analysis

Financial statement analysis

Investment memo generation

AI contract review

Property valuation AI

Claims processing automation

Financial statement analysis

Real estate lease abstraction

Portfolio management automation

Offering memorandum analysis

Insurance claims automation

OCR + data extraction

Due diligence automation

Pitch deck analysis

Document processing AI

Investment banking analysis

Insurance underwriting automation

Data room analysis

10-Q report analysis

Financial statement analysis

Product specs, sales playbooks, compliance policies, brand guides, policies, scripts, competitor briefs — neatly organized in searchable, permissioned Knowledge Hubs.

Index Knowledge

All Knowledge in One Place

Investment memo generation

AI contract review

Property valuation AI

Claims processing automation

Financial statement analysis

Real estate lease abstraction

Portfolio management automation

Offering memorandum analysis

Insurance claims automation

OCR + data extraction

Due diligence automation

Pitch deck analysis

Document processing AI

Investment banking analysis

Insurance underwriting automation

Data room analysis

10-Q report analysis

Financial statement analysis

Investment memo generation

AI contract review

Property valuation AI

Claims processing automation

Financial statement analysis

Real estate lease abstraction

Portfolio management automation

Offering memorandum analysis

Insurance claims automation

OCR + data extraction

Due diligence automation

Pitch deck analysis

Document processing AI

Investment banking analysis

Insurance underwriting automation

Data room analysis

10-Q report analysis

Financial statement analysis

Product specs, sales playbooks, compliance policies, brand guides, policies, scripts, competitor briefs — neatly organized in searchable, permissioned Knowledge Hubs.

Index Knowledge

All Knowledge in One Place

Investment memo generation

AI contract review

Property valuation AI

Claims processing automation

Financial statement analysis

Real estate lease abstraction

Portfolio management automation

Offering memorandum analysis

Insurance claims automation

OCR + data extraction

Due diligence automation

Pitch deck analysis

Document processing AI

Investment banking analysis

Insurance underwriting automation

Data room analysis

10-Q report analysis

Financial statement analysis

Investment memo generation

AI contract review

Property valuation AI

Claims processing automation

Financial statement analysis

Real estate lease abstraction

Portfolio management automation

Offering memorandum analysis

Insurance claims automation

OCR + data extraction

Due diligence automation

Pitch deck analysis

Document processing AI

Investment banking analysis

Insurance underwriting automation

Data room analysis

10-Q report analysis

Financial statement analysis

Product specs, sales playbooks, compliance policies, brand guides, policies, scripts, competitor briefs — neatly organized in searchable, permissioned Knowledge Hubs.

Index Knowledge

All Knowledge in One Place

Investment memo generation

AI contract review

Property valuation AI

Claims processing automation

Financial statement analysis

Real estate lease abstraction

Portfolio management automation

Offering memorandum analysis

Insurance claims automation

OCR + data extraction

Due diligence automation

Pitch deck analysis

Document processing AI

Investment banking analysis

Insurance underwriting automation

Data room analysis

10-Q report analysis

Financial statement analysis

Investment memo generation

AI contract review

Property valuation AI

Claims processing automation

Financial statement analysis

Real estate lease abstraction

Portfolio management automation

Offering memorandum analysis

Insurance claims automation

OCR + data extraction

Due diligence automation

Pitch deck analysis

Document processing AI

Investment banking analysis

Insurance underwriting automation

Data room analysis

10-Q report analysis

Financial statement analysis

Product specs, sales playbooks, compliance policies, brand guides, policies, scripts, competitor briefs — neatly organized in searchable, permissioned Knowledge Hubs.

Performance That Leaves Everything Else Behind

Outperforms LLMs, RPAs, IDPs & Hyperscalers

Hyperscaler

70-80%

LLM's

80-95%

RPA & IDP

80-99%

V7 Go

95-99%

On one-shot benchmarks, V7 Go reaches 95–99% accuracy, surpassing leading LLMs, RPA/IDP tools and hyperscalers across real enterprise workloads.

Performance That Leaves Everything Else Behind

Outperforms LLMs, RPAs, IDPs & Hyperscalers

Hyperscaler

70-80%

LLM's

80-95%

RPA & IDP

80-99%

V7 Go

95-99%

On one-shot benchmarks, V7 Go reaches 95–99% accuracy, surpassing leading LLMs, RPA/IDP tools and hyperscalers across real enterprise workloads.

Performance That Leaves Everything Else Behind

Outperforms LLMs, RPAs, IDPs & Hyperscalers

Hyperscaler

70-80%

LLM's

80-95%

RPA & IDP

80-99%

V7 Go

95-99%

On one-shot benchmarks, V7 Go reaches 95–99% accuracy, surpassing leading LLMs, RPA/IDP tools and hyperscalers across real enterprise workloads.

Performance That Leaves Everything Else Behind

Outperforms LLMs, RPAs, IDPs & Hyperscalers

Hyperscaler

70-80%

LLM's

80-95%

RPA & IDP

80-99%

V7 Go

95-99%

On one-shot benchmarks, V7 Go reaches 95–99% accuracy, surpassing leading LLMs, RPA/IDP tools and hyperscalers across real enterprise workloads.

Your Company’s Brain, Finally Organized

All Knowledge in One Place

Index Knowledge

Product specs, sales playbooks, compliance policies, brand guides, policies, scripts, competitor briefs — neatly organized in searchable, permissioned Knowledge Hubs.

Your Company’s Brain, Finally Organized

All Knowledge in One Place

Index Knowledge

Product specs, sales playbooks, compliance policies, brand guides, policies, scripts, competitor briefs — neatly organized in searchable, permissioned Knowledge Hubs.

Your Company’s Brain, Finally Organized

All Knowledge in One Place

Index Knowledge

Product specs, sales playbooks, compliance policies, brand guides, policies, scripts, competitor briefs — neatly organized in searchable, permissioned Knowledge Hubs.

Your Company’s Brain, Finally Organized

All Knowledge in One Place

Index Knowledge

Product specs, sales playbooks, compliance policies, brand guides, policies, scripts, competitor briefs — neatly organized in searchable, permissioned Knowledge Hubs.

The V7 Product Suite

One Unified Workspace. Endless AI Capabilities.

AI Tables, AI Docs, automated document generation, Knowledge Hubs and powerful integrations — all working together like an AI-native Microsoft Office.

The V7 Product Suite

One Unified Workspace. Endless AI Capabilities.

AI Tables, AI Docs, automated document generation, Knowledge Hubs and powerful integrations — all working together like an AI-native Microsoft Office.

The V7 Product Suite

One Unified Workspace. Endless AI Capabilities.

AI Tables, AI Docs, automated document generation, Knowledge Hubs and powerful integrations — all working together like an AI-native Microsoft Office.

The V7 Product Suite

One Unified Workspace. Endless AI Capabilities.

AI Tables, AI Docs, automated document generation, Knowledge Hubs and powerful integrations — all working together like an AI-native Microsoft Office.

FAQs

FAQs

FAQs

FAQs

Have questions?
Find answers.

Have questions?
Find answers.

Have questions?
Find answers.

What is the main difference between Scale AI and V7 Go?

Scale AI and V7 Go serve different primary use cases within the enterprise AI space. Scale AI specializes in data annotation and labeling services that power AI model training, particularly for autonomous vehicles, robotics, and custom AI applications. V7 Go focuses on automating document-centric business workflows using pre-built AI agents for industries like finance, legal, insurance, and real estate. Organizations building AI models may benefit from Scale AI's annotation services, while those looking to automate existing business processes may find V7 Go's workflow automation more relevant.

+

How do the pricing models compare between Scale AI and V7 Go?

Scale AI uses custom enterprise pricing with contracts typically ranging from $100,000 to $400,000+ annually, based on data volume, task complexity, and required service levels. The platform also offers self-serve options with per-label pricing for experimentation. V7 Go uses a usage-based pricing model with a base platform fee, user licenses, and data processing charges tied to document volume. V7 Go also offers free proofs of concept before commitment, allowing organizations to validate outcomes before signing contracts.

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Can V7 Go handle data annotation like Scale AI?

V7 Go is designed for document workflow automation rather than data annotation for AI model training. While V7 Labs offers annotation capabilities through its broader platform, V7 Go specifically focuses on deploying pre-built AI agents that process documents, extract insights, and automate business processes. Organizations that need high-volume data annotation for training autonomous vehicle systems, robotics, or custom AI models would find Scale AI's specialized annotation services more aligned with those requirements.

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Which platform is better for regulated industries like finance and insurance?

V7 Go is specifically designed for regulated industries with features like visual grounding that traces every AI output to its source document, creating audit trails for SOX, HIPAA, and KYC/AML compliance. The platform offers specialized agents for finance, legal, insurance, and real estate workflows. Scale AI serves regulated industries through its annotation services but focuses on powering AI model training rather than automating compliance-sensitive business workflows with built-in auditability features.

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How do implementation timelines compare between Scale AI and V7 Go?

Scale AI typically requires enterprise sales cycles with custom contract negotiations, which can extend implementation timelines depending on project scope and requirements. V7 Go offers free proofs of concept and aims to deliver measurable outcomes within 11 days of first contact, with solution engineers who build custom integrations and design industry-specific AI agents. The difference reflects their distinct approaches: Scale AI's custom annotation projects versus V7 Go's pre-built agent deployment model.

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What types of organizations typically choose each platform?

Scale AI is typically chosen by technology companies and enterprises building AI products that require high-volume data annotation, such as autonomous vehicle developers, robotics companies, and organizations training custom AI models. V7 Go is typically chosen by organizations in finance, legal, insurance, and real estate that need to automate document-intensive business processes like due diligence, contract review, claims processing, and lease abstraction. The choice depends on whether an organization needs to train AI models or deploy AI agents for business workflow automation.

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What is the main difference between Scale AI and V7 Go?

Scale AI and V7 Go serve different primary use cases within the enterprise AI space. Scale AI specializes in data annotation and labeling services that power AI model training, particularly for autonomous vehicles, robotics, and custom AI applications. V7 Go focuses on automating document-centric business workflows using pre-built AI agents for industries like finance, legal, insurance, and real estate. Organizations building AI models may benefit from Scale AI's annotation services, while those looking to automate existing business processes may find V7 Go's workflow automation more relevant.

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How do the pricing models compare between Scale AI and V7 Go?

Scale AI uses custom enterprise pricing with contracts typically ranging from $100,000 to $400,000+ annually, based on data volume, task complexity, and required service levels. The platform also offers self-serve options with per-label pricing for experimentation. V7 Go uses a usage-based pricing model with a base platform fee, user licenses, and data processing charges tied to document volume. V7 Go also offers free proofs of concept before commitment, allowing organizations to validate outcomes before signing contracts.

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Can V7 Go handle data annotation like Scale AI?

V7 Go is designed for document workflow automation rather than data annotation for AI model training. While V7 Labs offers annotation capabilities through its broader platform, V7 Go specifically focuses on deploying pre-built AI agents that process documents, extract insights, and automate business processes. Organizations that need high-volume data annotation for training autonomous vehicle systems, robotics, or custom AI models would find Scale AI's specialized annotation services more aligned with those requirements.

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Which platform is better for regulated industries like finance and insurance?

V7 Go is specifically designed for regulated industries with features like visual grounding that traces every AI output to its source document, creating audit trails for SOX, HIPAA, and KYC/AML compliance. The platform offers specialized agents for finance, legal, insurance, and real estate workflows. Scale AI serves regulated industries through its annotation services but focuses on powering AI model training rather than automating compliance-sensitive business workflows with built-in auditability features.

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How do implementation timelines compare between Scale AI and V7 Go?

Scale AI typically requires enterprise sales cycles with custom contract negotiations, which can extend implementation timelines depending on project scope and requirements. V7 Go offers free proofs of concept and aims to deliver measurable outcomes within 11 days of first contact, with solution engineers who build custom integrations and design industry-specific AI agents. The difference reflects their distinct approaches: Scale AI's custom annotation projects versus V7 Go's pre-built agent deployment model.

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What types of organizations typically choose each platform?

Scale AI is typically chosen by technology companies and enterprises building AI products that require high-volume data annotation, such as autonomous vehicle developers, robotics companies, and organizations training custom AI models. V7 Go is typically chosen by organizations in finance, legal, insurance, and real estate that need to automate document-intensive business processes like due diligence, contract review, claims processing, and lease abstraction. The choice depends on whether an organization needs to train AI models or deploy AI agents for business workflow automation.

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What is the main difference between Scale AI and V7 Go?

Scale AI and V7 Go serve different primary use cases within the enterprise AI space. Scale AI specializes in data annotation and labeling services that power AI model training, particularly for autonomous vehicles, robotics, and custom AI applications. V7 Go focuses on automating document-centric business workflows using pre-built AI agents for industries like finance, legal, insurance, and real estate. Organizations building AI models may benefit from Scale AI's annotation services, while those looking to automate existing business processes may find V7 Go's workflow automation more relevant.

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How do the pricing models compare between Scale AI and V7 Go?

Scale AI uses custom enterprise pricing with contracts typically ranging from $100,000 to $400,000+ annually, based on data volume, task complexity, and required service levels. The platform also offers self-serve options with per-label pricing for experimentation. V7 Go uses a usage-based pricing model with a base platform fee, user licenses, and data processing charges tied to document volume. V7 Go also offers free proofs of concept before commitment, allowing organizations to validate outcomes before signing contracts.

+

Can V7 Go handle data annotation like Scale AI?

V7 Go is designed for document workflow automation rather than data annotation for AI model training. While V7 Labs offers annotation capabilities through its broader platform, V7 Go specifically focuses on deploying pre-built AI agents that process documents, extract insights, and automate business processes. Organizations that need high-volume data annotation for training autonomous vehicle systems, robotics, or custom AI models would find Scale AI's specialized annotation services more aligned with those requirements.

+

Which platform is better for regulated industries like finance and insurance?

V7 Go is specifically designed for regulated industries with features like visual grounding that traces every AI output to its source document, creating audit trails for SOX, HIPAA, and KYC/AML compliance. The platform offers specialized agents for finance, legal, insurance, and real estate workflows. Scale AI serves regulated industries through its annotation services but focuses on powering AI model training rather than automating compliance-sensitive business workflows with built-in auditability features.

+

How do implementation timelines compare between Scale AI and V7 Go?

Scale AI typically requires enterprise sales cycles with custom contract negotiations, which can extend implementation timelines depending on project scope and requirements. V7 Go offers free proofs of concept and aims to deliver measurable outcomes within 11 days of first contact, with solution engineers who build custom integrations and design industry-specific AI agents. The difference reflects their distinct approaches: Scale AI's custom annotation projects versus V7 Go's pre-built agent deployment model.

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What types of organizations typically choose each platform?

Scale AI is typically chosen by technology companies and enterprises building AI products that require high-volume data annotation, such as autonomous vehicle developers, robotics companies, and organizations training custom AI models. V7 Go is typically chosen by organizations in finance, legal, insurance, and real estate that need to automate document-intensive business processes like due diligence, contract review, claims processing, and lease abstraction. The choice depends on whether an organization needs to train AI models or deploy AI agents for business workflow automation.

+

What is the main difference between Scale AI and V7 Go?

Scale AI and V7 Go serve different primary use cases within the enterprise AI space. Scale AI specializes in data annotation and labeling services that power AI model training, particularly for autonomous vehicles, robotics, and custom AI applications. V7 Go focuses on automating document-centric business workflows using pre-built AI agents for industries like finance, legal, insurance, and real estate. Organizations building AI models may benefit from Scale AI's annotation services, while those looking to automate existing business processes may find V7 Go's workflow automation more relevant.

+

How do the pricing models compare between Scale AI and V7 Go?

Scale AI uses custom enterprise pricing with contracts typically ranging from $100,000 to $400,000+ annually, based on data volume, task complexity, and required service levels. The platform also offers self-serve options with per-label pricing for experimentation. V7 Go uses a usage-based pricing model with a base platform fee, user licenses, and data processing charges tied to document volume. V7 Go also offers free proofs of concept before commitment, allowing organizations to validate outcomes before signing contracts.

+

Can V7 Go handle data annotation like Scale AI?

V7 Go is designed for document workflow automation rather than data annotation for AI model training. While V7 Labs offers annotation capabilities through its broader platform, V7 Go specifically focuses on deploying pre-built AI agents that process documents, extract insights, and automate business processes. Organizations that need high-volume data annotation for training autonomous vehicle systems, robotics, or custom AI models would find Scale AI's specialized annotation services more aligned with those requirements.

+

Which platform is better for regulated industries like finance and insurance?

V7 Go is specifically designed for regulated industries with features like visual grounding that traces every AI output to its source document, creating audit trails for SOX, HIPAA, and KYC/AML compliance. The platform offers specialized agents for finance, legal, insurance, and real estate workflows. Scale AI serves regulated industries through its annotation services but focuses on powering AI model training rather than automating compliance-sensitive business workflows with built-in auditability features.

+

How do implementation timelines compare between Scale AI and V7 Go?

Scale AI typically requires enterprise sales cycles with custom contract negotiations, which can extend implementation timelines depending on project scope and requirements. V7 Go offers free proofs of concept and aims to deliver measurable outcomes within 11 days of first contact, with solution engineers who build custom integrations and design industry-specific AI agents. The difference reflects their distinct approaches: Scale AI's custom annotation projects versus V7 Go's pre-built agent deployment model.

+

What types of organizations typically choose each platform?

Scale AI is typically chosen by technology companies and enterprises building AI products that require high-volume data annotation, such as autonomous vehicle developers, robotics companies, and organizations training custom AI models. V7 Go is typically chosen by organizations in finance, legal, insurance, and real estate that need to automate document-intensive business processes like due diligence, contract review, claims processing, and lease abstraction. The choice depends on whether an organization needs to train AI models or deploy AI agents for business workflow automation.

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Don't wait too long

Don't wait too long

Don't wait too long

Don't wait too long

Move beyond prototypes.

Move beyond prototypes.

Build AI workflows that scale.

Build AI workflows that scale.

With V7, not workarounds.

With V7, not workarounds.

Welcome Go

Welcome Go

Welcome Go

It's time

See how V7 fits your documents, workflows, and compliance needs.