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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
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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
Manual work eliminated
90-98%
Nobody's going to believe it, but people are always looking for the killer AI use case, right? This magic pill. And this one is one of those. V7 Go will actually allow you to just eliminate 90 to 98% of the manual work. And it's so quick to build a use case.

Paul Dickau
CEO and Founder, HITICCO
Productivity increase
35%
We used V7 Go to automate our diligence process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use.

Trey Heath
CEO of Centerline
Custom solution delivery
In hours, not weeks
Partnering with V7 means bringing our toughest data challenges to a team that turns them into solutions in hours. Their Solutions Engineers have redefined what’s possible for our business.

Allen Darby
CEO of Alaris Acquisitions
Manual work eliminated
90-98%
Nobody's going to believe it, but people are always looking for the killer AI use case, right? This magic pill. And this one is one of those. V7 Go will actually allow you to just eliminate 90 to 98% of the manual work. And it's so quick to build a use case.

Paul Dickau
CEO and Founder, HITICCO
Productivity increase
35%
We used V7 Go to automate our diligence process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use.

Trey Heath
CEO of Centerline
Custom solution delivery
In hours, not weeks
Partnering with V7 means bringing our toughest data challenges to a team that turns them into solutions in hours. Their Solutions Engineers have redefined what’s possible for our business.

Allen Darby
CEO of Alaris Acquisitions
Manual work eliminated
90-98%
Nobody's going to believe it, but people are always looking for the killer AI use case, right? This magic pill. And this one is one of those. V7 Go will actually allow you to just eliminate 90 to 98% of the manual work. And it's so quick to build a use case.

Paul Dickau
CEO and Founder, HITICCO
Productivity increase
35%
We used V7 Go to automate our diligence process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use.

Trey Heath
CEO of Centerline
Custom solution delivery
In hours, not weeks
Partnering with V7 means bringing our toughest data challenges to a team that turns them into solutions in hours. Their Solutions Engineers have redefined what’s possible for our business.

Allen Darby
CEO of Alaris Acquisitions
Manual work eliminated
90-98%
Nobody's going to believe it, but people are always looking for the killer AI use case, right? This magic pill. And this one is one of those. V7 Go will actually allow you to just eliminate 90 to 98% of the manual work. And it's so quick to build a use case.

Paul Dickau
CEO and Founder, HITICCO
Productivity increase
35%
We used V7 Go to automate our diligence process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use.

Trey Heath
CEO of Centerline
Custom solution delivery
In hours, not weeks
Partnering with V7 means bringing our toughest data challenges to a team that turns them into solutions in hours. Their Solutions Engineers have redefined what’s possible for our business.

Allen Darby
CEO of Alaris Acquisitions
Manual work eliminated
90-98%
Nobody's going to believe it, but people are always looking for the killer AI use case, right? This magic pill. And this one is one of those. V7 Go will actually allow you to just eliminate 90 to 98% of the manual work. And it's so quick to build a use case.

Paul Dickau
CEO and Founder, HITICCO
Productivity increase
35%
We used V7 Go to automate our diligence process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use.

Trey Heath
CEO of Centerline
Custom solution delivery
In hours, not weeks
Partnering with V7 means bringing our toughest data challenges to a team that turns them into solutions in hours. Their Solutions Engineers have redefined what’s possible for our business.

Allen Darby
CEO of Alaris Acquisitions
Manual work eliminated
90-98%
Nobody's going to believe it, but people are always looking for the killer AI use case, right? This magic pill. And this one is one of those. V7 Go will actually allow you to just eliminate 90 to 98% of the manual work. And it's so quick to build a use case.

Paul Dickau
CEO and Founder, HITICCO
Productivity increase
35%
We used V7 Go to automate our diligence process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use.

Trey Heath
CEO of Centerline
Custom solution delivery
In hours, not weeks
Partnering with V7 means bringing our toughest data challenges to a team that turns them into solutions in hours. Their Solutions Engineers have redefined what’s possible for our business.

Allen Darby
CEO of Alaris Acquisitions
Manual work eliminated
90-98%
Nobody's going to believe it, but people are always looking for the killer AI use case, right? This magic pill. And this one is one of those. V7 Go will actually allow you to just eliminate 90 to 98% of the manual work. And it's so quick to build a use case.

Paul Dickau
CEO and Founder, HITICCO
Productivity increase
35%
We used V7 Go to automate our diligence process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use.

Trey Heath
CEO of Centerline
Custom solution delivery
In hours, not weeks
Partnering with V7 means bringing our toughest data challenges to a team that turns them into solutions in hours. Their Solutions Engineers have redefined what’s possible for our business.

Allen Darby
CEO of Alaris Acquisitions
Manual work eliminated
90-98%
Nobody's going to believe it, but people are always looking for the killer AI use case, right? This magic pill. And this one is one of those. V7 Go will actually allow you to just eliminate 90 to 98% of the manual work. And it's so quick to build a use case.

Paul Dickau
CEO and Founder, HITICCO
Productivity increase
35%
We used V7 Go to automate our diligence process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use.

Trey Heath
CEO of Centerline
Custom solution delivery
In hours, not weeks
Partnering with V7 means bringing our toughest data challenges to a team that turns them into solutions in hours. Their Solutions Engineers have redefined what’s possible for our business.

Allen Darby
CEO of Alaris Acquisitions
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
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Everything you need to run AI in production
A complete platform for document intelligence and workflows
Features
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Features
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.
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.
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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.
+
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.
+
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.
+
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.





















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