90% faster UBO verification
AI agent for Know Your Customer (KYC) Analysts
From ownership maze to verified UBOs
Delegate complex ownership verification to a specialized AI agent. It analyzes corporate registry documents, traces ownership chains through multiple layers, extracts beneficial ownership percentages, and identifies Ultimate Beneficial Owners with precision, allowing your compliance team to focus on risk assessment rather than document hunting.

Ideal for
KYC Analysts
Compliance Teams
AML Operations

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Corporate Customer Onboarding
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Time comparison
Time comparison
Traditional way
3-6 hours per entity
With V7 Go agents
15-20 minutes
Average time saved
90%
Why V7 Go
Why V7 Go
Multi-Layer Ownership Tracing
Automatically follows ownership chains through multiple corporate layers, identifying both direct and indirect beneficial owners regardless of structure complexity.
Multi-Layer Ownership Tracing
Automatically follows ownership chains through multiple corporate layers, identifying both direct and indirect beneficial owners regardless of structure complexity.
Multi-Layer Ownership Tracing
Automatically follows ownership chains through multiple corporate layers, identifying both direct and indirect beneficial owners regardless of structure complexity.
Multi-Layer Ownership Tracing
Automatically follows ownership chains through multiple corporate layers, identifying both direct and indirect beneficial owners regardless of structure complexity.
Visual Chart Analysis
Processes complex organizational charts and ownership diagrams, extracting relationships and percentages even from hand-drawn or scanned visual representations.
Visual Chart Analysis
Processes complex organizational charts and ownership diagrams, extracting relationships and percentages even from hand-drawn or scanned visual representations.
Visual Chart Analysis
Processes complex organizational charts and ownership diagrams, extracting relationships and percentages even from hand-drawn or scanned visual representations.
Visual Chart Analysis
Processes complex organizational charts and ownership diagrams, extracting relationships and percentages even from hand-drawn or scanned visual representations.
Registry Document Extraction
Reads corporate registry filings, shareholder registers, and legal formation documents to extract ownership percentages, entity relationships, and control structures with precision.
Registry Document Extraction
Reads corporate registry filings, shareholder registers, and legal formation documents to extract ownership percentages, entity relationships, and control structures with precision.
Registry Document Extraction
Reads corporate registry filings, shareholder registers, and legal formation documents to extract ownership percentages, entity relationships, and control structures with precision.
Registry Document Extraction
Reads corporate registry filings, shareholder registers, and legal formation documents to extract ownership percentages, entity relationships, and control structures with precision.
Threshold Calculation
Automatically calculates cumulative beneficial ownership percentages across multiple holding structures to identify individuals meeting regulatory thresholds.
Threshold Calculation
Automatically calculates cumulative beneficial ownership percentages across multiple holding structures to identify individuals meeting regulatory thresholds.
Threshold Calculation
Automatically calculates cumulative beneficial ownership percentages across multiple holding structures to identify individuals meeting regulatory thresholds.
Threshold Calculation
Automatically calculates cumulative beneficial ownership percentages across multiple holding structures to identify individuals meeting regulatory thresholds.
Cross-Document Validation
Reconciles ownership information across multiple source documents, flagging discrepancies between registry filings, shareholder agreements, and organizational charts.
Cross-Document Validation
Reconciles ownership information across multiple source documents, flagging discrepancies between registry filings, shareholder agreements, and organizational charts.
Cross-Document Validation
Reconciles ownership information across multiple source documents, flagging discrepancies between registry filings, shareholder agreements, and organizational charts.
Cross-Document Validation
Reconciles ownership information across multiple source documents, flagging discrepancies between registry filings, shareholder agreements, and organizational charts.
Audit-Ready Documentation
Provides complete audit trails with AI Citations linking every identified UBO back to the specific page and section in source documents where ownership was verified.
Audit-Ready Documentation
Provides complete audit trails with AI Citations linking every identified UBO back to the specific page and section in source documents where ownership was verified.
Audit-Ready Documentation
Provides complete audit trails with AI Citations linking every identified UBO back to the specific page and section in source documents where ownership was verified.
Audit-Ready Documentation
Provides complete audit trails with AI Citations linking every identified UBO back to the specific page and section in source documents where ownership was verified.
Analyzes any ownership document
To deliver verified UBO identification.
Get started
Get started


Import your files
Salesforce
,
Microsoft Sharepoint Online
,
Google Drive
Import your files from whereever they are currently stored
All types of Finance documents supported
Once imported our system extracts and organises the essentials
Customer voices
Customer voices
Connect AI to your compliance framework.
Connect AI to your compliance framework.
Turn ownership verification into automated intelligence.
Turn ownership verification into automated intelligence.
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Customer Voices
Industrial equipment sales
We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.
Read the full story
Industrial equipment sales
We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.
Read the full story
Insurance
We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.
Read the full story
Insurance
We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.
Read the full story
Real Estate
Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.
Read the full story
Real Estate
Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.
Read the full story
Industrial equipment sales
We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.
Read the full story
Insurance
We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.
Read the full story
Real Estate
Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.
Read the full story
Finance
“Whenever I think about hiring, I first try to do it in V7 Go.” Discover how HITICCO uses V7 Go agents to accelerate and enrich their prospect research.
Read the full story
Finance
The experience with V7 has been fantastic. Very customized level of support. You feel like they really care about your outcome and objectives.
Read the full story
Features
Features
Results you can actually trust.
Reliable AI document processing toolkit.
Results you can trust.
Trustworthy AI document processing toolkit.
Supporting complex documents.
Up to 200 pages.
Corporate ownership documents come in countless formats. This agent handles everything from official registry filings and shareholder registers to hand-drawn organizational charts and scanned legal documents. It extracts ownership information regardless of document quality or structure.
Input types
50+ languages
Handwritten Charts
200 pages
Multi-modal
Document types
PDFs
Registry Filings
Org Charts
Visual Diagrams
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
Corporate ownership documents come in countless formats. This agent handles everything from official registry filings and shareholder registers to hand-drawn organizational charts and scanned legal documents. It extracts ownership information regardless of document quality or structure.
Input types
50+ languages
Handwritten Charts
200 pages
Multi-modal
Document types
PDFs
Registry Filings
Org Charts
Visual Diagrams
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
Corporate ownership documents come in countless formats. This agent handles everything from official registry filings and shareholder registers to hand-drawn organizational charts and scanned legal documents. It extracts ownership information regardless of document quality or structure.
Input types
50+ languages
Handwritten Charts
200 pages
Multi-modal
Document types
PDFs
Registry Filings
Org Charts
Visual Diagrams
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate
through GenAI reasoning.
In KYC compliance, a single error can trigger regulatory penalties. This agent uses multi-step verification workflows to ensure ownership percentages, entity names, and beneficial owner identities are extracted with exceptional accuracy, ready for regulatory submission without manual correction.
Model providers

Security note
V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Reach 99% accuracy rate
through GenAI reasoning.
In KYC compliance, a single error can trigger regulatory penalties. This agent uses multi-step verification workflows to ensure ownership percentages, entity names, and beneficial owner identities are extracted with exceptional accuracy, ready for regulatory submission without manual correction.
Model providers

Security note
V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Reach 99% accuracy rate
through GenAI reasoning.
In KYC compliance, a single error can trigger regulatory penalties. This agent uses multi-step verification workflows to ensure ownership percentages, entity names, and beneficial owner identities are extracted with exceptional accuracy, ready for regulatory submission without manual correction.
Model providers

Security note
V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Trustworthy results,
grounded in reality.
Build confidence in your UBO verification. Every identified beneficial owner, ownership percentage, and corporate relationship is visually linked back to its exact location in the source registry document, providing a complete audit trail for regulatory examination.

Visual grounding in action
00:54
Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.
Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.
Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.
Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.
Prior Warning and Ignoring Compliance

02
01
01
02
Trustworthy results,
grounded in reality.
Build confidence in your UBO verification. Every identified beneficial owner, ownership percentage, and corporate relationship is visually linked back to its exact location in the source registry document, providing a complete audit trail for regulatory examination.

Visual grounding in action
00:54
Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.
Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.
Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.
Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.
Prior Warning and Ignoring Compliance

02
01
01
02
Trustworthy results,
grounded in reality.
Build confidence in your UBO verification. Every identified beneficial owner, ownership percentage, and corporate relationship is visually linked back to its exact location in the source registry document, providing a complete audit trail for regulatory examination.

Visual grounding in action
00:54
Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.
Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.
Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.
Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.
Prior Warning and Ignoring Compliance

02
01
01
02
Enterprise grade security
for high-stake industries.
KYC documents contain highly sensitive customer information and corporate ownership data. V7 Go processes these documents within your secure environment, ensuring confidentiality and compliance with data privacy regulations. Your customer data is never used for external purposes.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
KYC documents contain highly sensitive customer information and corporate ownership data. V7 Go processes these documents within your secure environment, ensuring confidentiality and compliance with data privacy regulations. Your customer data is never used for external purposes.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
KYC documents contain highly sensitive customer information and corporate ownership data. V7 Go processes these documents within your secure environment, ensuring confidentiality and compliance with data privacy regulations. Your customer data is never used for external purposes.
Certifications
GPDR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
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Answers
Answers
What you need to know about our
AI agent for Know Your Customer (KYC) Analysts
How does the agent handle complex multi-tier ownership structures?
The agent uses graph analysis to map ownership relationships across unlimited corporate layers. It traces both direct shareholdings and indirect beneficial ownership through holding companies, trusts, and nominee arrangements, calculating cumulative ownership percentages at each level.
+
How does the agent handle complex multi-tier ownership structures?
The agent uses graph analysis to map ownership relationships across unlimited corporate layers. It traces both direct shareholdings and indirect beneficial ownership through holding companies, trusts, and nominee arrangements, calculating cumulative ownership percentages at each level.
+
How does the agent handle complex multi-tier ownership structures?
The agent uses graph analysis to map ownership relationships across unlimited corporate layers. It traces both direct shareholdings and indirect beneficial ownership through holding companies, trusts, and nominee arrangements, calculating cumulative ownership percentages at each level.
+
Can it process organizational charts and visual diagrams?
Yes. The agent uses computer vision to analyze organizational charts, ownership diagrams, and visual representations of corporate structures. It extracts entity names, ownership percentages, and relationship arrows even from hand-drawn or low-quality scanned images.
+
Can it process organizational charts and visual diagrams?
Yes. The agent uses computer vision to analyze organizational charts, ownership diagrams, and visual representations of corporate structures. It extracts entity names, ownership percentages, and relationship arrows even from hand-drawn or low-quality scanned images.
+
Can it process organizational charts and visual diagrams?
Yes. The agent uses computer vision to analyze organizational charts, ownership diagrams, and visual representations of corporate structures. It extracts entity names, ownership percentages, and relationship arrows even from hand-drawn or low-quality scanned images.
+
What happens when ownership percentages don't add up to 100%?
The agent flags mathematical inconsistencies and missing ownership information. It identifies gaps in the ownership chain, highlights discrepancies between documents, and prompts analysts to request additional documentation for complete verification.
+
What happens when ownership percentages don't add up to 100%?
The agent flags mathematical inconsistencies and missing ownership information. It identifies gaps in the ownership chain, highlights discrepancies between documents, and prompts analysts to request additional documentation for complete verification.
+
What happens when ownership percentages don't add up to 100%?
The agent flags mathematical inconsistencies and missing ownership information. It identifies gaps in the ownership chain, highlights discrepancies between documents, and prompts analysts to request additional documentation for complete verification.
+
How does it determine which individuals meet the UBO threshold?
The agent calculates both direct and indirect beneficial ownership for each individual, aggregating percentages across all ownership paths. It applies your institution's specific threshold rules and regulatory requirements to identify qualifying UBOs automatically.
+
How does it determine which individuals meet the UBO threshold?
The agent calculates both direct and indirect beneficial ownership for each individual, aggregating percentages across all ownership paths. It applies your institution's specific threshold rules and regulatory requirements to identify qualifying UBOs automatically.
+
How does it determine which individuals meet the UBO threshold?
The agent calculates both direct and indirect beneficial ownership for each individual, aggregating percentages across all ownership paths. It applies your institution's specific threshold rules and regulatory requirements to identify qualifying UBOs automatically.
+
Can it handle international registry documents in different languages?
Yes. The agent processes corporate registry documents in over 50 languages, extracting ownership information from diverse jurisdictions and document formats. It normalizes entity names and ownership structures into a standardized format for analysis.
+
Can it handle international registry documents in different languages?
Yes. The agent processes corporate registry documents in over 50 languages, extracting ownership information from diverse jurisdictions and document formats. It normalizes entity names and ownership structures into a standardized format for analysis.
+
Can it handle international registry documents in different languages?
Yes. The agent processes corporate registry documents in over 50 languages, extracting ownership information from diverse jurisdictions and document formats. It normalizes entity names and ownership structures into a standardized format for analysis.
+
What is the final output format?
The agent delivers a structured UBO report containing identified beneficial owners, their ownership percentages, the ownership path traced, and visual citations to source documents. This output integrates directly with your KYC system or can be exported as a compliance-ready PDF.
+
What is the final output format?
The agent delivers a structured UBO report containing identified beneficial owners, their ownership percentages, the ownership path traced, and visual citations to source documents. This output integrates directly with your KYC system or can be exported as a compliance-ready PDF.
+
What is the final output format?
The agent delivers a structured UBO report containing identified beneficial owners, their ownership percentages, the ownership path traced, and visual citations to source documents. This output integrates directly with your KYC system or can be exported as a compliance-ready PDF.
+
Next steps
Next steps
Still manually tracing ownership chains through registry documents?
Send us a complex corporate structure, and we'll show you how our agent identifies all UBOs in minutes instead of hours.
Uncover hidden liabilities
in
supplier contracts.
V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:
Uncover hidden liabilities
in
supplier contracts.
V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:
