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

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    Mercedes-Benz logo
    Alaris logo
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    Mercedes-Benz logo
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    ABL logo
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  • Mercedes-Benz logo
    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
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    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
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    Mercedes-Benz logo
    Paige logo
    Roche logo
    Mercedes-Benz logo
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Auto Loan ABS Analysis

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    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
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    Mercedes-Benz logo
    Paige logo
    Roche logo
    Mercedes-Benz logo
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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.

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

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: