V7
vs.

Why choose V7 over Built AI?
Both platforms automate real estate document workflows. V7 Go adds visual grounding, multi-industry agents, and custom legacy integrations.
Visual Source Grounding
V7 Go links every extracted data point to its exact location in source documents, creating audit trails that compliance teams can verify without manual cross-referencing.
Custom Legacy Integrations
Solution engineers build custom connections to property management systems, accounting platforms, and legacy databases as part of white-glove implementation.
Multi-Department Coverage
Organizations can extend the same platform to legal, finance, and insurance teams rather than deploying separate tools for each department.
Features
What makes V7 Go the best Built AI alternative
Compare real estate AI capabilities side by side
V7

Built AI
Visual source citations
Portfolio consolidation
Scenario modeling
Human review workflows
Legacy system integration
Built AI pricing explained
Both platforms require direct engagement for pricing details
V7
Base platform fee plus user licenses and usage-based data processing
White-glove service includes custom integrations and agent development
Free proof of concept with sample documents before commitment

Built AI
Pricing not published; requires booking a call with sales
Enterprise-focused with custom quotes based on portfolio size
Demo available through sales engagement
Comparing V7 Go and Built AI capabilities
Understanding pricing and implementation approaches
V7
AI automation platform with visual grounding for real estate and beyond
V7 Go is an AI automation platform that serves real estate professionals with lease abstraction, offering memorandum analysis, and document extraction workflows. The platform provides visual grounding that traces every AI output to its exact source location in documents, creating audit trails for compliance requirements. V7 Go achieves 95-99% accuracy on document processing and supports context windows exceeding 1M tokens for analyzing large document bundles. Beyond real estate, the platform offers specialized agents for finance, legal, and insurance. White-glove service includes solution engineers who build custom integrations with property management systems and design agents tailored to specific workflows.

Built AI
AI-powered portfolio consolidation for real estate investors
Built AI is an AI-powered real estate platform designed for asset and portfolio managers at institutional investors, REITs, and operating partners. The platform consolidates multiple assets into a single portfolio view, enabling users to identify risks and benchmark gaps quickly. Built AI automates data extraction from PDFs and deal documents to build cash flow models in minutes, replacing manual spreadsheet work. Users can upload rent rolls to reconcile actuals against forecasts and run dynamic scenario modeling to test market changes, lease assumptions, and capex plans with immediate impact on NOI, valuation, and returns. The platform is trusted by firms managing over $148 billion in assets.
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 do V7 Go and Built AI approach lease abstraction differently?
Both platforms extract lease terms, rent schedules, and key dates from real estate documents. Built AI focuses on feeding this data into portfolio consolidation and cash flow models. V7 Go adds visual grounding that links every extracted value to its exact location in the source document. This creates verifiable audit trails for compliance reviews. V7 Go also supports context windows exceeding 1M tokens, allowing analysis of large lease bundles in a single pass rather than processing documents individually.
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Can V7 Go handle portfolio-level scenario modeling like Built AI?
Built AI's core strength is dynamic scenario modeling with immediate impact calculations on NOI, valuation, and returns. V7 Go focuses on document processing and extraction rather than financial modeling. Organizations that need both capabilities often use V7 Go for document automation and feed structured outputs into financial modeling tools. V7 Go's workflow automation supports conditional logic and branching, but it is designed for document-centric processes rather than portfolio-level financial analysis.
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What compliance features does each platform offer for regulated real estate workflows?
V7 Go provides visual grounding that traces every AI output to its source location in documents, creating audit trails for SOX, HIPAA, and KYC/AML compliance. Human-in-the-loop review stages allow configurable approval workflows before data moves downstream. Built AI emphasizes actuals reconciliation and portfolio-level reporting but does not detail document-level source tracing or compliance certifications on its public website. Organizations with strict audit requirements should evaluate each platform's specific compliance capabilities during sales discussions.
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How do integration capabilities compare between V7 Go and Built AI?
V7 Go connects to 400+ apps natively and offers white-glove service where solution engineers build custom integrations with property management systems, accounting platforms, and legacy databases. Built AI focuses on consolidating real estate data into a single portfolio view but does not detail its integration capabilities publicly. Organizations with complex legacy system requirements should discuss specific integration needs with both vendors during evaluation. V7 Go's approach includes dedicated engineering support for custom connections.
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Which platform is better for organizations with needs beyond real estate?
Built AI is purpose-built for real estate asset and portfolio management. V7 Go serves real estate workflows while also offering specialized agents for finance, insurance, and legal teams. Organizations that need document automation across multiple departments can deploy V7 Go as a unified platform rather than separate tools for each vertical. This approach reduces vendor management overhead and allows teams to share workflow patterns across the organization.
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What level of technical expertise is required to use each platform?
Both platforms target business users rather than developers. Built AI emphasizes eliminating manual spreadsheet work for asset managers and finance leaders. V7 Go provides a low-code visual workflow designer with multiple interaction modes including spreadsheet views, node-based builders, and conversational interfaces. V7 Go's white-glove service means solution engineers handle complex configurations and custom agent development, reducing the technical burden on internal teams. Neither platform requires programming skills for standard use cases.
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