90% faster deal analysis
AI Structured Finance Analysis Agent
From deal documents to validated models
Delegate the technical work of structured finance analysis to a specialized AI agent. It reads offering documents, extracts deal structures and cash flow mechanics, validates assumptions against market data, and populates your financial models with verified inputs, freeing your team to focus on investment strategy.

Ideal for
Fixed Income Analysts
Structured Products Teams
Asset Managers

See AI Structured Finance Analysis Agent in action
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See AI Structured Finance Analysis Agent in action
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See AI Structured Finance Analysis Agent in action
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RMBS Deal Analysis
See AI Structured Finance Analysis Agent in action
Play video
Time comparison
Time comparison
Traditional way
3-4 weeks
With V7 Go agents
4-6 hours
Average time saved
90%
Why V7 Go
Why V7 Go
Automated Deal Structure Extraction
Parses offering documents to extract tranche hierarchies, subordination levels, coupon structures, and payment waterfalls into structured, model-ready formats.
Automated Deal Structure Extraction
Parses offering documents to extract tranche hierarchies, subordination levels, coupon structures, and payment waterfalls into structured, model-ready formats.
Automated Deal Structure Extraction
Parses offering documents to extract tranche hierarchies, subordination levels, coupon structures, and payment waterfalls into structured, model-ready formats.
Automated Deal Structure Extraction
Parses offering documents to extract tranche hierarchies, subordination levels, coupon structures, and payment waterfalls into structured, model-ready formats.
Cash Flow Mechanics Analysis
Identifies and extracts cash flow rules, prepayment assumptions, loss allocation methodologies, and trigger events that drive deal performance.
Cash Flow Mechanics Analysis
Identifies and extracts cash flow rules, prepayment assumptions, loss allocation methodologies, and trigger events that drive deal performance.
Cash Flow Mechanics Analysis
Identifies and extracts cash flow rules, prepayment assumptions, loss allocation methodologies, and trigger events that drive deal performance.
Cash Flow Mechanics Analysis
Identifies and extracts cash flow rules, prepayment assumptions, loss allocation methodologies, and trigger events that drive deal performance.
Assumption Validation & Benchmarking
Compares deal assumptions against historical performance data and market benchmarks, flagging outliers and non-standard terms that warrant deeper analysis.
Assumption Validation & Benchmarking
Compares deal assumptions against historical performance data and market benchmarks, flagging outliers and non-standard terms that warrant deeper analysis.
Assumption Validation & Benchmarking
Compares deal assumptions against historical performance data and market benchmarks, flagging outliers and non-standard terms that warrant deeper analysis.
Assumption Validation & Benchmarking
Compares deal assumptions against historical performance data and market benchmarks, flagging outliers and non-standard terms that warrant deeper analysis.
Multi-Document Synthesis
Consolidates information across offering documents, prospectuses, and supplemental materials to create a unified, comprehensive deal profile.
Multi-Document Synthesis
Consolidates information across offering documents, prospectuses, and supplemental materials to create a unified, comprehensive deal profile.
Multi-Document Synthesis
Consolidates information across offering documents, prospectuses, and supplemental materials to create a unified, comprehensive deal profile.
Multi-Document Synthesis
Consolidates information across offering documents, prospectuses, and supplemental materials to create a unified, comprehensive deal profile.
Model Population & Validation
Extracts all necessary inputs and automatically populates your financial models with verified data, reducing manual entry errors and accelerating analysis.
Model Population & Validation
Extracts all necessary inputs and automatically populates your financial models with verified data, reducing manual entry errors and accelerating analysis.
Model Population & Validation
Extracts all necessary inputs and automatically populates your financial models with verified data, reducing manual entry errors and accelerating analysis.
Model Population & Validation
Extracts all necessary inputs and automatically populates your financial models with verified data, reducing manual entry errors and accelerating analysis.
Auditable Analysis Trail
Every extracted data point and assumption is linked back to its source in the offering document, creating a complete audit trail for compliance and review.
Auditable Analysis Trail
Every extracted data point and assumption is linked back to its source in the offering document, creating a complete audit trail for compliance and review.
Auditable Analysis Trail
Every extracted data point and assumption is linked back to its source in the offering document, creating a complete audit trail for compliance and review.
Auditable Analysis Trail
Every extracted data point and assumption is linked back to its source in the offering document, creating a complete audit trail for compliance and review.
Extracts deal structures from any offering document
To populate your models with verified inputs.
Get started
Get started
Import your files
Microsoft Excel
,
Snowflake
,
Microsoft Sharepoint Online
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 deal analysis workflow.
Connect AI to your deal analysis workflow.
Turn offering documents into actionable investment insights.
Turn offering documents into actionable investment insights.
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Customer Voices
Industrial equipment sales
Read the full story
Industrial equipment sales
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
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.
Structured finance documents vary widely in format and presentation. This agent handles dense prospectuses, complex tables, embedded schedules, and supplemental materials. It extracts deal mechanics regardless of document structure or presentation style.
Input types
Complex Tables
Embedded Schedules
200 pages
Multi-modal
Document types
PDFs
Spreadsheets
Tables
Graphs
Loan-Level Data
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
Structured finance documents vary widely in format and presentation. This agent handles dense prospectuses, complex tables, embedded schedules, and supplemental materials. It extracts deal mechanics regardless of document structure or presentation style.
Input types
Complex Tables
Embedded Schedules
200 pages
Multi-modal
Document types
PDFs
Spreadsheets
Tables
Graphs
Loan-Level Data
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
Structured finance documents vary widely in format and presentation. This agent handles dense prospectuses, complex tables, embedded schedules, and supplemental materials. It extracts deal mechanics regardless of document structure or presentation style.
Input types
Complex Tables
Embedded Schedules
200 pages
Multi-modal
Document types
PDFs
Spreadsheets
Tables
Graphs
Loan-Level Data
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate
through GenAI reasoning.
Structured finance analysis demands precision. This agent uses multi-step verification to ensure deal structures, cash flow mechanics, and assumptions are extracted with exceptional accuracy, ready for immediate model population 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.
Structured finance analysis demands precision. This agent uses multi-step verification to ensure deal structures, cash flow mechanics, and assumptions are extracted with exceptional accuracy, ready for immediate model population 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.
Structured finance analysis demands precision. This agent uses multi-step verification to ensure deal structures, cash flow mechanics, and assumptions are extracted with exceptional accuracy, ready for immediate model population 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.
Every extracted deal term and assumption is visually linked back to its precise location in the offering document. This creates a complete, auditable record that your team can verify in seconds, eliminating uncertainty and supporting compliance reviews.

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.
Every extracted deal term and assumption is visually linked back to its precise location in the offering document. This creates a complete, auditable record that your team can verify in seconds, eliminating uncertainty and supporting compliance reviews.

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.
Every extracted deal term and assumption is visually linked back to its precise location in the offering document. This creates a complete, auditable record that your team can verify in seconds, eliminating uncertainty and supporting compliance reviews.

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.
Structured finance documents contain proprietary deal information and sensitive market data. V7 Go processes these materials within your secure environment, ensuring confidentiality and compliance with institutional data governance standards. Your information is never used for external model training.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Structured finance documents contain proprietary deal information and sensitive market data. V7 Go processes these materials within your secure environment, ensuring confidentiality and compliance with institutional data governance standards. Your information is never used for external model training.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Structured finance documents contain proprietary deal information and sensitive market data. V7 Go processes these materials within your secure environment, ensuring confidentiality and compliance with institutional data governance standards. Your information is never used for external model training.
Certifications
GPDR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
More agents
More agents
Explore more agents to help you
Explore more agents to help you
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Answers
Answers
What you need to know about our
AI Structured Finance Analysis Agent
How does the agent handle complex tranche structures?
The agent uses multi-step reasoning to parse hierarchical tranche relationships, subordination rules, and payment priorities. It can handle traditional sequential-pay structures as well as complex pro-rata and hybrid arrangements.
+
How does the agent handle complex tranche structures?
The agent uses multi-step reasoning to parse hierarchical tranche relationships, subordination rules, and payment priorities. It can handle traditional sequential-pay structures as well as complex pro-rata and hybrid arrangements.
+
How does the agent handle complex tranche structures?
The agent uses multi-step reasoning to parse hierarchical tranche relationships, subordination rules, and payment priorities. It can handle traditional sequential-pay structures as well as complex pro-rata and hybrid arrangements.
+
Can it extract assumptions from unstructured narrative sections?
Yes. The agent reads both structured tables and narrative descriptions to identify key assumptions about prepayment speeds, default rates, loss severity, and other drivers embedded throughout offering documents.
+
Can it extract assumptions from unstructured narrative sections?
Yes. The agent reads both structured tables and narrative descriptions to identify key assumptions about prepayment speeds, default rates, loss severity, and other drivers embedded throughout offering documents.
+
Can it extract assumptions from unstructured narrative sections?
Yes. The agent reads both structured tables and narrative descriptions to identify key assumptions about prepayment speeds, default rates, loss severity, and other drivers embedded throughout offering documents.
+
How does it validate assumptions against market data?
The agent connects to your Knowledge Hub of historical performance data and market benchmarks. It compares deal assumptions against these baselines and flags deviations that may indicate risk or opportunity.
+
How does it validate assumptions against market data?
The agent connects to your Knowledge Hub of historical performance data and market benchmarks. It compares deal assumptions against these baselines and flags deviations that may indicate risk or opportunity.
+
How does it validate assumptions against market data?
The agent connects to your Knowledge Hub of historical performance data and market benchmarks. It compares deal assumptions against these baselines and flags deviations that may indicate risk or opportunity.
+
What formats can it populate?
The agent delivers structured data in JSON, Excel, or CSV formats that integrate directly with your financial models, valuation tools, and portfolio management systems.
+
What formats can it populate?
The agent delivers structured data in JSON, Excel, or CSV formats that integrate directly with your financial models, valuation tools, and portfolio management systems.
+
What formats can it populate?
The agent delivers structured data in JSON, Excel, or CSV formats that integrate directly with your financial models, valuation tools, and portfolio management systems.
+
How accurate is the extraction for complex securities?
The agent achieves high accuracy through multi-step verification workflows. Every extracted term is visually linked to its source, allowing your team to quickly verify critical assumptions before model population.
+
How accurate is the extraction for complex securities?
The agent achieves high accuracy through multi-step verification workflows. Every extracted term is visually linked to its source, allowing your team to quickly verify critical assumptions before model population.
+
How accurate is the extraction for complex securities?
The agent achieves high accuracy through multi-step verification workflows. Every extracted term is visually linked to its source, allowing your team to quickly verify critical assumptions before model population.
+
Can it handle multiple deal types?
The agent is designed to handle RMBS, CMBS, ABS, CLOs, and other structured products. It adapts to the unique mechanics and terminology of each asset class.
+
Can it handle multiple deal types?
The agent is designed to handle RMBS, CMBS, ABS, CLOs, and other structured products. It adapts to the unique mechanics and terminology of each asset class.
+
Can it handle multiple deal types?
The agent is designed to handle RMBS, CMBS, ABS, CLOs, and other structured products. It adapts to the unique mechanics and terminology of each asset class.
+
Next steps
Next steps
Still manually extracting deal structures from prospectuses?
Send us a recent offering document or prospectus. We'll show you how our agent extracts the deal structure and populates your model in hours.
Uncover hidden liabilities
in
supplier contracts.
V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:
Uncover hidden liabilities
in
supplier contracts.
V7 Go transforms documents into strategic assets. 150+ enterprises are already on board: