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

See AI Structured Finance Analyst Agent in action
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Auto Loan ABS Analysis
See AI Structured Finance Analyst Agent in action
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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.
Processes asset tapes in any format
To populate your cash flow models with verified data.
Get started
Get started



Import your files
Microsoft Excel
,
Snowflake
,
Google Sheets
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 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
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 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:
