90% faster modeling
AI agent for Structured Finance Analysts
From asset tapes to cash flow models in hours
Delegate the extraction and normalization of loan-level data to a specialized AI agent. It reads asset tapes in any format, extracts collateral characteristics, validates data integrity, and populates your cash flow models with clean, structured data ready for waterfall analysis.

Ideal for
Structured Finance Teams
ABS Analysts
Securitization Groups

See AI agent for Structured Finance Analysts in action
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Auto Loan ABS Analysis
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Time comparison
Time comparison
Traditional way
3-5 days
With V7 Go agents
2-4 hours
Average time saved
90%
Why V7 Go
Why V7 Go
Automated Loan-Level Extraction
Reads asset tapes in any format and extracts critical loan characteristics including principal balance, interest rate, maturity date, FICO score, LTV ratio, and payment history for thousands of loans simultaneously.
Automated Loan-Level Extraction
Reads asset tapes in any format and extracts critical loan characteristics including principal balance, interest rate, maturity date, FICO score, LTV ratio, and payment history for thousands of loans simultaneously.
Automated Loan-Level Extraction
Reads asset tapes in any format and extracts critical loan characteristics including principal balance, interest rate, maturity date, FICO score, LTV ratio, and payment history for thousands of loans simultaneously.
Automated Loan-Level Extraction
Reads asset tapes in any format and extracts critical loan characteristics including principal balance, interest rate, maturity date, FICO score, LTV ratio, and payment history for thousands of loans simultaneously.
Collateral Pool Normalization
Standardizes inconsistent data formats across different originators and servicers, mapping diverse field names and structures into a unified schema ready for cash flow modeling and waterfall analysis.
Collateral Pool Normalization
Standardizes inconsistent data formats across different originators and servicers, mapping diverse field names and structures into a unified schema ready for cash flow modeling and waterfall analysis.
Collateral Pool Normalization
Standardizes inconsistent data formats across different originators and servicers, mapping diverse field names and structures into a unified schema ready for cash flow modeling and waterfall analysis.
Collateral Pool Normalization
Standardizes inconsistent data formats across different originators and servicers, mapping diverse field names and structures into a unified schema ready for cash flow modeling and waterfall analysis.
Data Quality Validation
Identifies missing fields, outlier values, and data inconsistencies that could compromise model accuracy, flagging loans that require manual review before inclusion in the collateral pool.
Data Quality Validation
Identifies missing fields, outlier values, and data inconsistencies that could compromise model accuracy, flagging loans that require manual review before inclusion in the collateral pool.
Data Quality Validation
Identifies missing fields, outlier values, and data inconsistencies that could compromise model accuracy, flagging loans that require manual review before inclusion in the collateral pool.
Data Quality Validation
Identifies missing fields, outlier values, and data inconsistencies that could compromise model accuracy, flagging loans that require manual review before inclusion in the collateral pool.
Stratification Analysis
Automatically segments the collateral pool by credit score bands, vintage, geography, loan size, and other key characteristics to support tranche structuring and investor reporting requirements.
Stratification Analysis
Automatically segments the collateral pool by credit score bands, vintage, geography, loan size, and other key characteristics to support tranche structuring and investor reporting requirements.
Stratification Analysis
Automatically segments the collateral pool by credit score bands, vintage, geography, loan size, and other key characteristics to support tranche structuring and investor reporting requirements.
Stratification Analysis
Automatically segments the collateral pool by credit score bands, vintage, geography, loan size, and other key characteristics to support tranche structuring and investor reporting requirements.
Weighted Average Calculations
Computes pool-level statistics including weighted average coupon, weighted average maturity, weighted average FICO, and other key metrics that drive pricing and credit enhancement decisions.
Weighted Average Calculations
Computes pool-level statistics including weighted average coupon, weighted average maturity, weighted average FICO, and other key metrics that drive pricing and credit enhancement decisions.
Weighted Average Calculations
Computes pool-level statistics including weighted average coupon, weighted average maturity, weighted average FICO, and other key metrics that drive pricing and credit enhancement decisions.
Weighted Average Calculations
Computes pool-level statistics including weighted average coupon, weighted average maturity, weighted average FICO, and other key metrics that drive pricing and credit enhancement decisions.
Model-Ready Output
Delivers clean, structured data in formats that integrate directly with Intex, Bloomberg ABS, or custom Excel cash flow models, eliminating manual data transfer and reducing modeling cycle time.
Model-Ready Output
Delivers clean, structured data in formats that integrate directly with Intex, Bloomberg ABS, or custom Excel cash flow models, eliminating manual data transfer and reducing modeling cycle time.
Model-Ready Output
Delivers clean, structured data in formats that integrate directly with Intex, Bloomberg ABS, or custom Excel cash flow models, eliminating manual data transfer and reducing modeling cycle time.
Model-Ready Output
Delivers clean, structured data in formats that integrate directly with Intex, Bloomberg ABS, or custom Excel cash flow models, eliminating manual data transfer and reducing modeling cycle time.
Processes any asset tape format
To deliver model-ready collateral data.
Get started
Get started



Import your files
Microsoft Excel
,
Snowflake
,
Tableau
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 securitization workflow.
Connect AI to your securitization workflow.
Turn asset tapes into cash flow models in hours, not days.
Turn asset tapes into cash flow models in hours, not days.
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.
Asset tapes come in countless formats from different servicers and originators. This agent handles everything from modern Excel files with complex formulas to legacy CSV exports and scanned PDF reports, extracting loan data regardless of structure.
Input types
50+ languages
Legacy Formats
200 pages
Multi-modal
Document types
Excel Files
CSV Exports
Complex Tables
Nested Data
Multi-Tab Workbooks
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
Asset tapes come in countless formats from different servicers and originators. This agent handles everything from modern Excel files with complex formulas to legacy CSV exports and scanned PDF reports, extracting loan data regardless of structure.
Input types
50+ languages
Legacy Formats
200 pages
Multi-modal
Document types
Excel Files
CSV Exports
Complex Tables
Nested Data
Multi-Tab Workbooks
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
Asset tapes come in countless formats from different servicers and originators. This agent handles everything from modern Excel files with complex formulas to legacy CSV exports and scanned PDF reports, extracting loan data regardless of structure.
Input types
50+ languages
Legacy Formats
200 pages
Multi-modal
Document types
Excel Files
CSV Exports
Complex Tables
Nested Data
Multi-Tab Workbooks
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate
through GenAI reasoning.
Cash flow models are only as good as the underlying collateral data. This agent uses multi-step validation to ensure loan balances, interest rates, and payment histories are extracted with precision, ready for waterfall analysis 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.
Cash flow models are only as good as the underlying collateral data. This agent uses multi-step validation to ensure loan balances, interest rates, and payment histories are extracted with precision, ready for waterfall analysis 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.
Cash flow models are only as good as the underlying collateral data. This agent uses multi-step validation to ensure loan balances, interest rates, and payment histories are extracted with precision, ready for waterfall analysis 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.
Verify every extracted data point instantly. Each loan characteristic, from FICO score to maturity date, is visually linked back to its exact cell in the source asset tape, providing complete transparency for model validation and investor due diligence.

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.
Verify every extracted data point instantly. Each loan characteristic, from FICO score to maturity date, is visually linked back to its exact cell in the source asset tape, providing complete transparency for model validation and investor due diligence.

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.
Verify every extracted data point instantly. Each loan characteristic, from FICO score to maturity date, is visually linked back to its exact cell in the source asset tape, providing complete transparency for model validation and investor due diligence.

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.
Asset tapes contain sensitive borrower information and proprietary deal structures. V7 Go processes all collateral data within your secure environment, ensuring compliance with data privacy regulations and protecting confidential transaction details.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Asset tapes contain sensitive borrower information and proprietary deal structures. V7 Go processes all collateral data within your secure environment, ensuring compliance with data privacy regulations and protecting confidential transaction details.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Asset tapes contain sensitive borrower information and proprietary deal structures. V7 Go processes all collateral data within your secure environment, ensuring compliance with data privacy regulations and protecting confidential transaction details.
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 Structured Finance Analysts
What types of asset classes can this agent handle?
The agent is designed to process asset tapes across all major ABS asset classes including auto loans, student loans, credit card receivables, equipment leases, residential mortgages, and commercial loans. It adapts to the unique data structures of each asset type.
+
What types of asset classes can this agent handle?
The agent is designed to process asset tapes across all major ABS asset classes including auto loans, student loans, credit card receivables, equipment leases, residential mortgages, and commercial loans. It adapts to the unique data structures of each asset type.
+
What types of asset classes can this agent handle?
The agent is designed to process asset tapes across all major ABS asset classes including auto loans, student loans, credit card receivables, equipment leases, residential mortgages, and commercial loans. It adapts to the unique data structures of each asset type.
+
How does it handle inconsistent data formats from different servicers?
The agent uses intelligent field mapping to recognize common loan characteristics even when column headers, date formats, or value representations differ across servicers. It learns from your firm's historical asset tapes to improve mapping accuracy over time.
+
How does it handle inconsistent data formats from different servicers?
The agent uses intelligent field mapping to recognize common loan characteristics even when column headers, date formats, or value representations differ across servicers. It learns from your firm's historical asset tapes to improve mapping accuracy over time.
+
How does it handle inconsistent data formats from different servicers?
The agent uses intelligent field mapping to recognize common loan characteristics even when column headers, date formats, or value representations differ across servicers. It learns from your firm's historical asset tapes to improve mapping accuracy over time.
+
Can it validate data against deal documents and servicing agreements?
Yes. The agent can cross-reference extracted loan data against eligibility criteria specified in the Pooling and Servicing Agreement, flagging any loans that fail to meet representation and warranty standards before pool finalization.
+
Can it validate data against deal documents and servicing agreements?
Yes. The agent can cross-reference extracted loan data against eligibility criteria specified in the Pooling and Servicing Agreement, flagging any loans that fail to meet representation and warranty standards before pool finalization.
+
Can it validate data against deal documents and servicing agreements?
Yes. The agent can cross-reference extracted loan data against eligibility criteria specified in the Pooling and Servicing Agreement, flagging any loans that fail to meet representation and warranty standards before pool finalization.
+
How accurate is the extraction for complex loan structures?
The agent achieves high accuracy by using multi-step validation workflows. Every extracted data point is linked back to its source cell in the asset tape with Visual Grounding, allowing analysts to verify critical fields before model population.
+
How accurate is the extraction for complex loan structures?
The agent achieves high accuracy by using multi-step validation workflows. Every extracted data point is linked back to its source cell in the asset tape with Visual Grounding, allowing analysts to verify critical fields before model population.
+
How accurate is the extraction for complex loan structures?
The agent achieves high accuracy by using multi-step validation workflows. Every extracted data point is linked back to its source cell in the asset tape with Visual Grounding, allowing analysts to verify critical fields before model population.
+
Does it work with legacy asset tapes in older formats?
Yes. The agent processes asset tapes regardless of age or format, including legacy Excel files with complex macros, CSV exports with non-standard delimiters, and scanned PDF reports from older servicing systems.
+
Does it work with legacy asset tapes in older formats?
Yes. The agent processes asset tapes regardless of age or format, including legacy Excel files with complex macros, CSV exports with non-standard delimiters, and scanned PDF reports from older servicing systems.
+
Does it work with legacy asset tapes in older formats?
Yes. The agent processes asset tapes regardless of age or format, including legacy Excel files with complex macros, CSV exports with non-standard delimiters, and scanned PDF reports from older servicing systems.
+
What is the final output format?
The agent delivers structured output in your preferred format, typically a normalized Excel file or CSV that maps directly to your cash flow model inputs, along with a summary report of pool characteristics and data quality flags.
+
What is the final output format?
The agent delivers structured output in your preferred format, typically a normalized Excel file or CSV that maps directly to your cash flow model inputs, along with a summary report of pool characteristics and data quality flags.
+
What is the final output format?
The agent delivers structured output in your preferred format, typically a normalized Excel file or CSV that maps directly to your cash flow model inputs, along with a summary report of pool characteristics and data quality flags.
+
Next steps
Next steps
Still manually copying loan data from asset tapes?
Send us a sample asset tape from your last deal. We'll show you how our AI extracts and normalizes the collateral data in minutes instead of days.
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:
