90% faster modeling

AI Structured Finance Analyst Agent

From asset tapes to cash flow models in hours

Delegate the mechanical work of ABS analysis to a specialized AI agent. It extracts loan-level data from asset tapes, normalizes inconsistent formats, validates data quality, and populates your waterfall models with verified figures, freeing your team to focus on investment thesis and risk assessment.

Ideal for

Structured Finance Teams

Investment Banking

Asset Managers

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    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Mercedes-Benz logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
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See AI Structured Finance Analyst Agent in action

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  • Mercedes-Benz logo
    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Mercedes-Benz logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI Structured Finance Analyst Agent in action

Play video

  • Mercedes-Benz logo
    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Mercedes-Benz logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI Structured Finance Analyst Agent in action

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Auto Loan ABS Analysis

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    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Mercedes-Benz logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI Structured Finance Analyst Agent in action

Play video

Time comparison

Time comparison

Traditional way

3-5 days

With V7 Go agents

30-60 minutes

Average time saved

90%

Why V7 Go

Why V7 Go

Automated Loan-Level Data Extraction

Parses complex asset tapes in any format—fixed-width, delimited, or nested—and extracts all loan-level attributes into a standardized schema without manual field mapping.

Automated Loan-Level Data Extraction

Parses complex asset tapes in any format—fixed-width, delimited, or nested—and extracts all loan-level attributes into a standardized schema without manual field mapping.

Automated Loan-Level Data Extraction

Parses complex asset tapes in any format—fixed-width, delimited, or nested—and extracts all loan-level attributes into a standardized schema without manual field mapping.

Automated Loan-Level Data Extraction

Parses complex asset tapes in any format—fixed-width, delimited, or nested—and extracts all loan-level attributes into a standardized schema without manual field mapping.

Format Normalization & Reconciliation

Handles inconsistent data formats across multiple asset pools. Normalizes dates, rates, balances, and other fields to match your waterfall model's requirements automatically.

Format Normalization & Reconciliation

Handles inconsistent data formats across multiple asset pools. Normalizes dates, rates, balances, and other fields to match your waterfall model's requirements automatically.

Format Normalization & Reconciliation

Handles inconsistent data formats across multiple asset pools. Normalizes dates, rates, balances, and other fields to match your waterfall model's requirements automatically.

Format Normalization & Reconciliation

Handles inconsistent data formats across multiple asset pools. Normalizes dates, rates, balances, and other fields to match your waterfall model's requirements automatically.

Data Quality Validation & Flagging

Validates loan data against predefined rules and flags anomalies—missing values, out-of-range rates, inconsistent amortization schedules—for analyst review before modeling.

Data Quality Validation & Flagging

Validates loan data against predefined rules and flags anomalies—missing values, out-of-range rates, inconsistent amortization schedules—for analyst review before modeling.

Data Quality Validation & Flagging

Validates loan data against predefined rules and flags anomalies—missing values, out-of-range rates, inconsistent amortization schedules—for analyst review before modeling.

Data Quality Validation & Flagging

Validates loan data against predefined rules and flags anomalies—missing values, out-of-range rates, inconsistent amortization schedules—for analyst review before modeling.

Direct Model Population

Populates your Excel or Python-based cash flow models directly with extracted and validated data, eliminating manual copy-paste and reducing transcription errors.

Direct Model Population

Populates your Excel or Python-based cash flow models directly with extracted and validated data, eliminating manual copy-paste and reducing transcription errors.

Direct Model Population

Populates your Excel or Python-based cash flow models directly with extracted and validated data, eliminating manual copy-paste and reducing transcription errors.

Direct Model Population

Populates your Excel or Python-based cash flow models directly with extracted and validated data, eliminating manual copy-paste and reducing transcription errors.

Waterfall Assumption Verification

Cross-checks extracted data against your waterfall assumptions—prepayment speeds, default rates, loss severity—and flags deviations for strategic review.

Waterfall Assumption Verification

Cross-checks extracted data against your waterfall assumptions—prepayment speeds, default rates, loss severity—and flags deviations for strategic review.

Waterfall Assumption Verification

Cross-checks extracted data against your waterfall assumptions—prepayment speeds, default rates, loss severity—and flags deviations for strategic review.

Waterfall Assumption Verification

Cross-checks extracted data against your waterfall assumptions—prepayment speeds, default rates, loss severity—and flags deviations for strategic review.

Audit Trail & Traceability

Every extracted data point is linked to its source in the asset tape with full traceability. Creates a defensible record for investor presentations and regulatory review.

Audit Trail & Traceability

Every extracted data point is linked to its source in the asset tape with full traceability. Creates a defensible record for investor presentations and regulatory review.

Audit Trail & Traceability

Every extracted data point is linked to its source in the asset tape with full traceability. Creates a defensible record for investor presentations and regulatory review.

Audit Trail & Traceability

Every extracted data point is linked to its source in the asset tape with full traceability. Creates a defensible record for investor presentations and regulatory review.

Customer voices

Customer voices

Connect AI to your waterfall model.

Connect AI to your waterfall model.

Turn asset tapes into actionable deal analysis.

Turn asset tapes into actionable deal analysis.

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 data structures.

Any tape format, any pool type.

Asset tapes come in countless formats—fixed-width, delimited, nested hierarchies, custom proprietary structures. This agent adapts to any format without requiring manual field mapping or configuration for each new pool.

Input types

Fixed-Width Files

Delimited Data

Nested Structures

Custom Formats

Document types

CSV

Excel

Text Files

JSON

Databases

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting complex data structures.

Any tape format, any pool type.

Asset tapes come in countless formats—fixed-width, delimited, nested hierarchies, custom proprietary structures. This agent adapts to any format without requiring manual field mapping or configuration for each new pool.

Input types

Fixed-Width Files

Delimited Data

Nested Structures

Custom Formats

Document types

CSV

Excel

Text Files

JSON

Databases

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting complex data structures.

Any tape format, any pool type.

Asset tapes come in countless formats—fixed-width, delimited, nested hierarchies, custom proprietary structures. This agent adapts to any format without requiring manual field mapping or configuration for each new pool.

Input types

Fixed-Width Files

Delimited Data

Nested Structures

Custom Formats

Document types

CSV

Excel

Text Files

JSON

Databases

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Reach 99%+ accuracy

on loan-level data extraction.

In structured finance, precision is non-negotiable. This agent extracts loan-level data with exceptional accuracy, validates every field against your rules, and flags anomalies for review. Your models are built on verified data, not best guesses.

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

on loan-level data extraction.

In structured finance, precision is non-negotiable. This agent extracts loan-level data with exceptional accuracy, validates every field against your rules, and flags anomalies for review. Your models are built on verified data, not best guesses.

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

on loan-level data extraction.

In structured finance, precision is non-negotiable. This agent extracts loan-level data with exceptional accuracy, validates every field against your rules, and flags anomalies for review. Your models are built on verified data, not best guesses.

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 source data.

Every extracted data point is linked back to its precise location in the asset tape. This creates a complete audit trail for investor presentations, regulatory review, and internal governance. You can defend every number in your model.

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 source data.

Every extracted data point is linked back to its precise location in the asset tape. This creates a complete audit trail for investor presentations, regulatory review, and internal governance. You can defend every number in your model.

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 source data.

Every extracted data point is linked back to its precise location in the asset tape. This creates a complete audit trail for investor presentations, regulatory review, and internal governance. You can defend every number in your model.

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 institutional finance.

Asset tapes contain sensitive loan-level data and proprietary deal information. V7 Go processes all data within your secure environment. Tapes are never shared, never used for external purposes, and never exposed to third-party models.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for institutional finance.

Asset tapes contain sensitive loan-level data and proprietary deal information. V7 Go processes all data within your secure environment. Tapes are never shared, never used for external purposes, and never exposed to third-party models.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for institutional finance.

Asset tapes contain sensitive loan-level data and proprietary deal information. V7 Go processes all data within your secure environment. Tapes are never shared, never used for external purposes, and never exposed to third-party models.

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 Structured Finance Analyst Agent

What asset tape formats can it handle?

The agent is format-agnostic. It processes fixed-width files, CSV, Excel, pipe-delimited, and custom proprietary formats. It adapts to your tape structure without requiring pre-configuration for each new pool.

+

What asset tape formats can it handle?

The agent is format-agnostic. It processes fixed-width files, CSV, Excel, pipe-delimited, and custom proprietary formats. It adapts to your tape structure without requiring pre-configuration for each new pool.

+

What asset tape formats can it handle?

The agent is format-agnostic. It processes fixed-width files, CSV, Excel, pipe-delimited, and custom proprietary formats. It adapts to your tape structure without requiring pre-configuration for each new pool.

+

How does it handle missing or inconsistent data?

The agent flags missing values and inconsistencies for analyst review rather than making assumptions. It applies your firm's standard conventions for data imputation only where you've explicitly defined rules.

+

How does it handle missing or inconsistent data?

The agent flags missing values and inconsistencies for analyst review rather than making assumptions. It applies your firm's standard conventions for data imputation only where you've explicitly defined rules.

+

How does it handle missing or inconsistent data?

The agent flags missing values and inconsistencies for analyst review rather than making assumptions. It applies your firm's standard conventions for data imputation only where you've explicitly defined rules.

+

Can it work with our custom waterfall model?

Yes. The agent is configured to match your specific waterfall structure, assumptions, and output format. It learns your model's logic and populates it with extracted data automatically.

+

Can it work with our custom waterfall model?

Yes. The agent is configured to match your specific waterfall structure, assumptions, and output format. It learns your model's logic and populates it with extracted data automatically.

+

Can it work with our custom waterfall model?

Yes. The agent is configured to match your specific waterfall structure, assumptions, and output format. It learns your model's logic and populates it with extracted data automatically.

+

How accurate is the data extraction?

The agent achieves 99%+ accuracy on structured loan-level data. Every extracted field is validated against your rules and linked to its source. Flagged items are presented for analyst verification before model population.

+

How accurate is the data extraction?

The agent achieves 99%+ accuracy on structured loan-level data. Every extracted field is validated against your rules and linked to its source. Flagged items are presented for analyst verification before model population.

+

How accurate is the data extraction?

The agent achieves 99%+ accuracy on structured loan-level data. Every extracted field is validated against your rules and linked to its source. Flagged items are presented for analyst verification before model population.

+

How long does it take to process a typical asset tape?

Processing time depends on tape size and complexity, but a typical 5,000-loan pool is processed in 15-30 minutes. This includes extraction, validation, and model population—a task that typically takes analysts 3-5 days manually.

+

How long does it take to process a typical asset tape?

Processing time depends on tape size and complexity, but a typical 5,000-loan pool is processed in 15-30 minutes. This includes extraction, validation, and model population—a task that typically takes analysts 3-5 days manually.

+

How long does it take to process a typical asset tape?

Processing time depends on tape size and complexity, but a typical 5,000-loan pool is processed in 15-30 minutes. This includes extraction, validation, and model population—a task that typically takes analysts 3-5 days manually.

+

Is the extracted data secure and confidential?

Absolutely. V7 Go processes all data within your secure environment. Asset tapes and loan-level data are never shared or used for external purposes. The platform adheres to enterprise-grade security standards required for institutional finance.

+

Is the extracted data secure and confidential?

Absolutely. V7 Go processes all data within your secure environment. Asset tapes and loan-level data are never shared or used for external purposes. The platform adheres to enterprise-grade security standards required for institutional finance.

+

Is the extracted data secure and confidential?

Absolutely. V7 Go processes all data within your secure environment. Asset tapes and loan-level data are never shared or used for external purposes. The platform adheres to enterprise-grade security standards required for institutional finance.

+

Next steps

Next steps

Still manually extracting loan data from asset tapes?

Send us a sample asset tape and your waterfall template. We'll show you how to cut modeling time by 90% and eliminate transcription errors.

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: