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V7 vs. Databricks
V7 vs. Databricks
V7 vs. Databricks
Searching for a good Databricks alternative?
Searching for a good Databricks alternative?
Searching for a good Databricks alternative?
Evaluating Databricks as an enterprise data and AI platform
Evaluating Databricks as an enterprise data and AI platform
V7
vs.
V7
vs.
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Why choose V7 over Databricks?
While Databricks focuses on large-scale data analytics and ML pipelines, V7 Go specializes in document-centric AI automation for regulated industries.
Overview
Overview
Visual Grounding for Compliance
V7 Go provides AI citations that visually trace every extracted data point to its source document, creating audit trails for SOX, HIPAA, and KYC/AML compliance that Databricks does not natively offer.
Pre-Built Document Agents
V7 Go offers 300+ specialized AI agents ready for deployment in finance, legal, insurance, and real estate, while Databricks requires building custom ML pipelines from scratch for document processing.
Predictable Custom Pricing
V7 Go offers custom pricing based on document volume and use case requirements, while Databricks uses DBU-based pricing that can be complex to track and predict across different workload types.
Features
Features
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What makes V7 Go the best Databricks alternative
Compare document automation and data platform capabilities
Features
Features
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V7
Databricks
vs.
Visual source verification
Visual source verification
Visual source verification
Visual source verification
AI citations trace every output to exact source locations in original documents for audit trails
AI citations trace every output to exact source locations in original documents for audit trails
V7
AI citations trace every output to exact source locations in original documents for audit trails
AI citations trace every output to exact source locations in original documents for audit trails
No native visual grounding for document-level source tracing and auditability
No native visual grounding for document-level source tracing and auditability
Databricks
No native visual grounding for document-level source tracing and auditability
No native visual grounding for document-level source tracing and auditability
Pre-built industry agents
300+ specialized agents for finance, legal, insurance, and real estate ready to deploy
300+ specialized agents for finance, legal, insurance, and real estate ready to deploy
V7
300+ specialized agents for finance, legal, insurance, and real estate ready to deploy
300+ specialized agents for finance, legal, insurance, and real estate ready to deploy
Requires building custom ML pipelines for document processing use cases
Requires building custom ML pipelines for document processing use cases
Databricks
Requires building custom ML pipelines for document processing use cases
Requires building custom ML pipelines for document processing use cases
Document processing accuracy
95-99% accuracy on document extraction benchmarks with validation capabilities
95-99% accuracy on document extraction benchmarks with validation capabilities
V7
95-99% accuracy on document extraction benchmarks with validation capabilities
95-99% accuracy on document extraction benchmarks with validation capabilities
Accuracy depends on custom model development and training data quality
Accuracy depends on custom model development and training data quality
Databricks
Accuracy depends on custom model development and training data quality
Accuracy depends on custom model development and training data quality
Large-scale data analytics
Designed for document-centric workflows rather than petabyte-scale data lake analytics
Designed for document-centric workflows rather than petabyte-scale data lake analytics
V7
Designed for document-centric workflows rather than petabyte-scale data lake analytics
Designed for document-centric workflows rather than petabyte-scale data lake analytics
Industry-leading platform for petabyte-scale ETL, streaming, and batch analytics
Industry-leading platform for petabyte-scale ETL, streaming, and batch analytics
Databricks
Industry-leading platform for petabyte-scale ETL, streaming, and batch analytics
Industry-leading platform for petabyte-scale ETL, streaming, and batch analytics
ML model training
Uses pre-trained models with fine-tuning options rather than full ML pipeline development
Uses pre-trained models with fine-tuning options rather than full ML pipeline development
V7
Uses pre-trained models with fine-tuning options rather than full ML pipeline development
Uses pre-trained models with fine-tuning options rather than full ML pipeline development
Comprehensive ML lifecycle management with MLflow and distributed training capabilities
Comprehensive ML lifecycle management with MLflow and distributed training capabilities
Databricks
Comprehensive ML lifecycle management with MLflow and distributed training capabilities
Comprehensive ML lifecycle management with MLflow and distributed training capabilities
White-glove implementation
Solution engineers build custom integrations and agents with measurable outcomes in 11 days
Solution engineers build custom integrations and agents with measurable outcomes in 11 days
V7
Solution engineers build custom integrations and agents with measurable outcomes in 11 days
Solution engineers build custom integrations and agents with measurable outcomes in 11 days
Primarily self-service with enterprise support available for paying customers
Primarily self-service with enterprise support available for paying customers
Databricks
Primarily self-service with enterprise support available for paying customers
Primarily self-service with enterprise support available for paying customers
Pricing
Pricing
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Pricing
Databricks pricing explained
Understanding DBU-based pricing versus custom document-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 document volume and use case requirements. The platform offers custom pricing tailored to specific workflows, 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 measurable outcomes.
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 document volume and use case requirements. The platform offers custom pricing tailored to specific workflows, 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 measurable outcomes.
Custom pricing based on document volume and specific use case requirements
Custom pricing based on document volume and specific use case requirements
Custom pricing based on document volume and specific use case requirements
Custom pricing based on document volume and specific use case requirements
White-glove service includes solution engineers and custom integrations
White-glove service includes solution engineers and custom integrations
White-glove service includes solution engineers and custom integrations
White-glove service includes solution engineers and custom integrations
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
Databricks
Databricks uses a pay-as-you-go pricing model based on Databricks Units, with costs varying by workload type and tier. DBU prices range from approximately $0.07 to $0.65+ depending on cluster type, with Premium and Enterprise tiers priced higher. Organizations also incur underlying cloud compute and storage charges. Monthly costs can range from $260 for small teams to $8,000-$20,000+ for enterprise deployments. Committed use contracts offer discounts of 20-60% for multi-year prepayments.
Databricks uses a pay-as-you-go pricing model based on Databricks Units, with costs varying by workload type and tier. DBU prices range from approximately $0.07 to $0.65+ depending on cluster type, with Premium and Enterprise tiers priced higher. Organizations also incur underlying cloud compute and storage charges. Monthly costs can range from $260 for small teams to $8,000-$20,000+ for enterprise deployments. Committed use contracts offer discounts of 20-60% for multi-year prepayments.
DBU-based pricing varies by workload type, tier, and cloud provider region
DBU-based pricing varies by workload type, tier, and cloud provider region
DBU-based pricing varies by workload type, tier, and cloud provider region
DBU-based pricing varies by workload type, tier, and cloud provider region
Additional cloud infrastructure costs for compute and storage apply separately
Additional cloud infrastructure costs for compute and storage apply separately
Additional cloud infrastructure costs for compute and storage apply separately
Additional cloud infrastructure costs for compute and storage apply separately
Free trial available with committed use discounts for enterprise contracts
Free trial available with committed use discounts for enterprise contracts
Free trial available with committed use discounts for enterprise contracts
Free trial available with committed use discounts for enterprise contracts
Comparison
Comparison
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Comparison
Comparing V7 Go and Databricks capabilities
Comparing pricing models and total cost of ownership
Features
Features
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Features
V7
Enterprise AI automation platform for document-centric workflows
V7 Go is an enterprise AI automation platform designed for document-intensive workflows in regulated industries including finance, legal, insurance, and real estate. The platform provides over 300 pre-built specialized AI agents that extract, analyze, and process complex documents with visual grounding that traces every output to its source for auditability. V7 Go achieves 95-99% accuracy on document processing benchmarks and supports 1M+ token context windows. The platform includes white-glove service with solution engineers who build custom integrations with legacy systems and design industry-specific agents, delivering measurable outcomes within 11 days of first contact.
Databricks
Unified data lakehouse platform for analytics and ML
Databricks is a unified data and AI platform built on the lakehouse architecture, enabling organizations to consolidate data engineering, data science, and analytics workloads across AWS, Azure, and GCP. The platform uses Databricks Units for pricing, with costs varying by workload type and tier. Databricks excels at processing petabyte-scale data lakes, running large ETL jobs, building production ML pipelines with MLflow, and providing interactive notebook environments for data science teams. The platform integrates with BI tools like Power BI and Tableau, and is widely adopted by Fortune 500 companies for risk analysis, fraud detection, and real-time analytics.
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
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d="M 0 0.219 L 10915 0" fill="transparent" height="1px" id="EAdcOxt57" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="10" stroke-width="2.658" stroke="rgb(0, 0, 0)" transform="translate(0 6106.5)" width="10915px"/></g></svg>)
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
Get started
Learn more
Everything you need to run AI in production
A complete platform for document intelligence and workflows
Features
Get started
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
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
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
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
Get started
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.
How do V7 Go and Databricks differ in their approach to document processing?
V7 Go is purpose-built for document-centric workflows, providing specialized AI agents that extract structured data from PDFs, contracts, financial statements, and other complex documents with visual grounding that traces every output to its source. Databricks is designed for large-scale data processing and ML pipeline development, where document processing would require building custom models and pipelines. V7 Go delivers 95-99% accuracy on document extraction benchmarks out of the box, while Databricks accuracy depends on custom model development and training data quality.
+
Which platform is better suited for regulated industries requiring audit trails?
V7 Go provides visual grounding that creates audit trails required for SOX, HIPAA, FDA, and KYC/AML compliance by tracing every AI-generated output back to its exact location in source documents. This is particularly valuable for finance, insurance, and real estate workflows where proving data provenance is essential. Databricks offers data lineage tracking for data pipelines but does not provide document-level visual source verification for compliance purposes.
+
Can V7 Go handle the same large-scale data analytics workloads as Databricks?
Databricks is specifically designed for petabyte-scale data lake analytics, ETL processing, and distributed ML training, which are not the primary focus of V7 Go. V7 Go specializes in the last mile of information processing, transforming unstructured documents into actionable business insights. Organizations often use both platforms together, with Databricks handling large-scale data infrastructure and V7 Go automating document-centric workflows that feed into or consume data from those systems.
+
How do the pricing models compare between V7 Go and Databricks?
Databricks uses DBU-based pricing that varies by workload type, tier, and cloud provider, with additional infrastructure costs for compute and storage. This can make cost prediction complex, with enterprise deployments ranging from $8,000 to $20,000+ monthly. V7 Go offers custom pricing based on document volume and use case requirements, with white-glove service included. V7 Go's pricing model is designed to be more predictable for document-centric workflows, while Databricks pricing scales with compute usage across diverse data workloads.
+
What level of technical expertise is required for each platform?
Databricks is designed for data engineers and data scientists who are comfortable with Spark, Python, SQL, and ML frameworks, requiring significant technical expertise to build and maintain production pipelines. V7 Go provides a low-code interface accessible to business users and domain experts, with pre-built AI agents that can be configured without programming. V7 Go's white-glove service means solution engineers handle complex integrations and custom agent development, reducing the technical burden on your team.
+
Can V7 Go and Databricks be used together in an enterprise environment?
Yes, V7 Go and Databricks can complement each other in enterprise environments. Databricks can serve as the unified data platform for large-scale analytics and ML training, while V7 Go handles document-centric automation workflows that require visual grounding and compliance features. V7 Go integrates with enterprise systems via APIs and can feed structured data extracted from documents into Databricks pipelines, or consume data from Databricks for document generation and analysis workflows.
+
How do V7 Go and Databricks differ in their approach to document processing?
V7 Go is purpose-built for document-centric workflows, providing specialized AI agents that extract structured data from PDFs, contracts, financial statements, and other complex documents with visual grounding that traces every output to its source. Databricks is designed for large-scale data processing and ML pipeline development, where document processing would require building custom models and pipelines. V7 Go delivers 95-99% accuracy on document extraction benchmarks out of the box, while Databricks accuracy depends on custom model development and training data quality.
+
Which platform is better suited for regulated industries requiring audit trails?
V7 Go provides visual grounding that creates audit trails required for SOX, HIPAA, FDA, and KYC/AML compliance by tracing every AI-generated output back to its exact location in source documents. This is particularly valuable for finance, insurance, and real estate workflows where proving data provenance is essential. Databricks offers data lineage tracking for data pipelines but does not provide document-level visual source verification for compliance purposes.
+
Can V7 Go handle the same large-scale data analytics workloads as Databricks?
Databricks is specifically designed for petabyte-scale data lake analytics, ETL processing, and distributed ML training, which are not the primary focus of V7 Go. V7 Go specializes in the last mile of information processing, transforming unstructured documents into actionable business insights. Organizations often use both platforms together, with Databricks handling large-scale data infrastructure and V7 Go automating document-centric workflows that feed into or consume data from those systems.
+
How do the pricing models compare between V7 Go and Databricks?
Databricks uses DBU-based pricing that varies by workload type, tier, and cloud provider, with additional infrastructure costs for compute and storage. This can make cost prediction complex, with enterprise deployments ranging from $8,000 to $20,000+ monthly. V7 Go offers custom pricing based on document volume and use case requirements, with white-glove service included. V7 Go's pricing model is designed to be more predictable for document-centric workflows, while Databricks pricing scales with compute usage across diverse data workloads.
+
What level of technical expertise is required for each platform?
Databricks is designed for data engineers and data scientists who are comfortable with Spark, Python, SQL, and ML frameworks, requiring significant technical expertise to build and maintain production pipelines. V7 Go provides a low-code interface accessible to business users and domain experts, with pre-built AI agents that can be configured without programming. V7 Go's white-glove service means solution engineers handle complex integrations and custom agent development, reducing the technical burden on your team.
+
Can V7 Go and Databricks be used together in an enterprise environment?
Yes, V7 Go and Databricks can complement each other in enterprise environments. Databricks can serve as the unified data platform for large-scale analytics and ML training, while V7 Go handles document-centric automation workflows that require visual grounding and compliance features. V7 Go integrates with enterprise systems via APIs and can feed structured data extracted from documents into Databricks pipelines, or consume data from Databricks for document generation and analysis workflows.
+
How do V7 Go and Databricks differ in their approach to document processing?
V7 Go is purpose-built for document-centric workflows, providing specialized AI agents that extract structured data from PDFs, contracts, financial statements, and other complex documents with visual grounding that traces every output to its source. Databricks is designed for large-scale data processing and ML pipeline development, where document processing would require building custom models and pipelines. V7 Go delivers 95-99% accuracy on document extraction benchmarks out of the box, while Databricks accuracy depends on custom model development and training data quality.
+
Which platform is better suited for regulated industries requiring audit trails?
V7 Go provides visual grounding that creates audit trails required for SOX, HIPAA, FDA, and KYC/AML compliance by tracing every AI-generated output back to its exact location in source documents. This is particularly valuable for finance, insurance, and real estate workflows where proving data provenance is essential. Databricks offers data lineage tracking for data pipelines but does not provide document-level visual source verification for compliance purposes.
+
Can V7 Go handle the same large-scale data analytics workloads as Databricks?
Databricks is specifically designed for petabyte-scale data lake analytics, ETL processing, and distributed ML training, which are not the primary focus of V7 Go. V7 Go specializes in the last mile of information processing, transforming unstructured documents into actionable business insights. Organizations often use both platforms together, with Databricks handling large-scale data infrastructure and V7 Go automating document-centric workflows that feed into or consume data from those systems.
+
How do the pricing models compare between V7 Go and Databricks?
Databricks uses DBU-based pricing that varies by workload type, tier, and cloud provider, with additional infrastructure costs for compute and storage. This can make cost prediction complex, with enterprise deployments ranging from $8,000 to $20,000+ monthly. V7 Go offers custom pricing based on document volume and use case requirements, with white-glove service included. V7 Go's pricing model is designed to be more predictable for document-centric workflows, while Databricks pricing scales with compute usage across diverse data workloads.
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What level of technical expertise is required for each platform?
Databricks is designed for data engineers and data scientists who are comfortable with Spark, Python, SQL, and ML frameworks, requiring significant technical expertise to build and maintain production pipelines. V7 Go provides a low-code interface accessible to business users and domain experts, with pre-built AI agents that can be configured without programming. V7 Go's white-glove service means solution engineers handle complex integrations and custom agent development, reducing the technical burden on your team.
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Can V7 Go and Databricks be used together in an enterprise environment?
Yes, V7 Go and Databricks can complement each other in enterprise environments. Databricks can serve as the unified data platform for large-scale analytics and ML training, while V7 Go handles document-centric automation workflows that require visual grounding and compliance features. V7 Go integrates with enterprise systems via APIs and can feed structured data extracted from documents into Databricks pipelines, or consume data from Databricks for document generation and analysis workflows.
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How do V7 Go and Databricks differ in their approach to document processing?
V7 Go is purpose-built for document-centric workflows, providing specialized AI agents that extract structured data from PDFs, contracts, financial statements, and other complex documents with visual grounding that traces every output to its source. Databricks is designed for large-scale data processing and ML pipeline development, where document processing would require building custom models and pipelines. V7 Go delivers 95-99% accuracy on document extraction benchmarks out of the box, while Databricks accuracy depends on custom model development and training data quality.
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Which platform is better suited for regulated industries requiring audit trails?
V7 Go provides visual grounding that creates audit trails required for SOX, HIPAA, FDA, and KYC/AML compliance by tracing every AI-generated output back to its exact location in source documents. This is particularly valuable for finance, insurance, and real estate workflows where proving data provenance is essential. Databricks offers data lineage tracking for data pipelines but does not provide document-level visual source verification for compliance purposes.
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Can V7 Go handle the same large-scale data analytics workloads as Databricks?
Databricks is specifically designed for petabyte-scale data lake analytics, ETL processing, and distributed ML training, which are not the primary focus of V7 Go. V7 Go specializes in the last mile of information processing, transforming unstructured documents into actionable business insights. Organizations often use both platforms together, with Databricks handling large-scale data infrastructure and V7 Go automating document-centric workflows that feed into or consume data from those systems.
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How do the pricing models compare between V7 Go and Databricks?
Databricks uses DBU-based pricing that varies by workload type, tier, and cloud provider, with additional infrastructure costs for compute and storage. This can make cost prediction complex, with enterprise deployments ranging from $8,000 to $20,000+ monthly. V7 Go offers custom pricing based on document volume and use case requirements, with white-glove service included. V7 Go's pricing model is designed to be more predictable for document-centric workflows, while Databricks pricing scales with compute usage across diverse data workloads.
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What level of technical expertise is required for each platform?
Databricks is designed for data engineers and data scientists who are comfortable with Spark, Python, SQL, and ML frameworks, requiring significant technical expertise to build and maintain production pipelines. V7 Go provides a low-code interface accessible to business users and domain experts, with pre-built AI agents that can be configured without programming. V7 Go's white-glove service means solution engineers handle complex integrations and custom agent development, reducing the technical burden on your team.
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Can V7 Go and Databricks be used together in an enterprise environment?
Yes, V7 Go and Databricks can complement each other in enterprise environments. Databricks can serve as the unified data platform for large-scale analytics and ML training, while V7 Go handles document-centric automation workflows that require visual grounding and compliance features. V7 Go integrates with enterprise systems via APIs and can feed structured data extracted from documents into Databricks pipelines, or consume data from Databricks for document generation and analysis workflows.
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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.