V7
vs.

Why choose V7 over Stack AI?
Both platforms offer enterprise AI automation with workflow builders, but V7 Go adds visual grounding and pre-built industry-specific agents.
Visual Grounding & Citations
V7 Go provides AI citations that visually trace every extracted data point to its exact source location in documents, creating audit trails for compliance requirements that Stack AI's general workflow outputs do not natively provide.
Pre-Built Industry Agents
V7 Go offers specialized AI agents designed for specific roles in finance, legal, insurance, and real estate that can be deployed immediately, while Stack AI requires building custom workflows from its modular components.
Rapid Proof of Concept
V7 Go delivers measurable results within 11 days through solution engineers who build custom agents in hours, compared to Stack AI's self-service approach that requires more internal development time.
Features
What makes V7 Go the best Stack AI alternative
Compare enterprise AI automation capabilities side by side
V7

Stack AI
Pre-built industry agents
Multi-modal data processing
Enterprise compliance
Human-in-the-loop review
Integration ecosystem
Stack AI pricing explained
Understanding run-based vs usage-based pricing for enterprise AI automation
V7
Base platform fee plus user licenses and usage-based data processing charges
White-glove service includes custom integrations and specialized agent development
Free proof of concept with your sample documents before commitment

Stack AI
Free tier available with 500 runs per month, 2 projects, and 1 seat
Enterprise plan includes dedicated solution engineers and custom integrations
Run-based pricing with costs scaling based on workflow execution volume
Comparing V7 Go and Stack AI capabilities
Comparing pricing models and implementation approaches
V7
Document-centric AI automation with visual grounding and industry agents
V7 Go is an enterprise AI automation platform designed for document-intensive workflows in regulated industries. The platform provides pre-built specialized AI agents for finance, legal, insurance, and real estate, with visual grounding that traces every AI output to its exact source location in documents. V7 Go achieves 95-99% accuracy on document processing benchmarks and supports 1M+ token context windows for large document bundles. The platform includes white-glove service with solution engineers who build custom integrations with legacy systems and design industry-specific agents, along with human-in-the-loop review stages for quality assurance.

Stack AI
Modular AI workflow platform for enterprise automation
Stack AI is an enterprise AI platform that enables organizations to build and deploy AI agents through a modular architecture comprising Agents, Flow, and Storage components. The platform supports multi-modal inputs including text, images, audio, and video, with data loaders for web scraping, file uploads, Google Drive, and Notion. Stack AI offers a free tier with 500 runs per month and scales to custom enterprise plans with unlimited runs, on-premise deployment, VPC options, SSO, and access controls. The platform serves industries including finance, insurance, legal, healthcare, and real estate with SOC 2, HIPAA, and GDPR compliance.
Trusted by teams shipping AI to production
What customers say after choosing V7 Go
Integrate with 2000+ apps and services
Everything you need to run AI in production
A complete platform for document intelligence and workflows
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.
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.
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.
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.
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
Any more questions?
How does V7 Go's visual grounding compare to Stack AI's workflow outputs?
V7 Go's visual grounding feature provides AI citations that trace every extracted data point back to its exact location in the source document, creating an interactive audit trail where users can click on any output and see the highlighted source. This capability is particularly valuable for regulated industries requiring compliance with SOX, HIPAA, FDA, and KYC/AML regulations. Stack AI's workflow outputs provide results from AI processing but do not natively include document-level source tracing. Organizations that need to prove data provenance for compliance purposes may find V7 Go's document automation approach more suitable for their audit requirements.
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What level of technical expertise is required for each platform?
Both platforms offer visual workflow builders accessible to non-technical users. Stack AI provides a modular approach with Agents, Flow, and Storage components that users configure to build custom workflows, which offers flexibility but requires understanding of how to connect components effectively. V7 Go provides pre-built specialized AI agents for specific industries and roles that can be deployed with minimal configuration, along with white-glove service where solution engineers handle complex customizations. Organizations with strong technical teams may appreciate Stack AI's flexibility, while those preferring faster deployment with expert support may find V7 Go's approach more efficient.
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How do the integration capabilities compare between V7 Go and Stack AI?
Stack AI offers extensive native integrations including Google Drive, Notion, web scraping, REST API access, Slack bots, and browser extensions, providing broad connectivity for common business tools. V7 Go provides native integrations plus custom legacy system connections built by solution engineers as part of its white-glove service. For organizations with complex legacy systems or specialized integration requirements, V7 Go's approach of having expert engineers build custom connections may reduce internal development burden. Stack AI's self-service integration approach works well for organizations comfortable configuring their own connections.
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Which platform is better suited for document-heavy workflows in regulated industries?
V7 Go is purpose-built for document-intensive workflows in regulated industries, achieving 95-99% accuracy on document extraction benchmarks with visual grounding that creates audit trails for compliance. The platform offers specialized agents for finance, insurance, real estate, and legal workflows. Stack AI provides document processing capabilities through its modular components and supports SOC 2, HIPAA, and GDPR compliance, making it suitable for regulated environments. Organizations whose primary use case is document-centric automation with auditability requirements may find V7 Go's specialized focus advantageous, while those needing broader workflow automation across various data types may prefer Stack AI's flexibility.
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How do the pricing models differ between V7 Go and Stack AI?
Stack AI uses run-based pricing where costs scale with the number of workflow executions, starting with a free tier of 500 runs per month and scaling to custom enterprise plans. V7 Go uses usage-based pricing with a base platform fee, user licenses, and data processing charges tied to document volume. Stack AI's model may be more predictable for organizations with consistent workflow volumes, while V7 Go's model scales with actual document processing needs. Both platforms offer enterprise tiers with custom pricing, dedicated support, and advanced security features including on-premise deployment options.
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What implementation support does each platform provide?
V7 Go provides white-glove service with dedicated solution engineers who build custom integrations with legacy systems, design industry-specific AI agents, and deliver measurable outcomes within 11 days of first contact. The platform offers free proof of concept with sample documents before commitment. Stack AI provides documentation, community support on Discord, and dedicated solution engineers for enterprise customers. Organizations that prefer hands-on implementation support and rapid deployment may find V7 Go's approach beneficial, while those comfortable with self-service implementation and community resources may work effectively with Stack AI's model.
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