90% faster model preparation
AI agent for Catastrophe Modelers
From days of data entry to minutes
Delegate catastrophe model data preparation to a specialized AI agent. It processes property exposure files, validates geocoding, configures construction characteristics, and inputs data into RMS and AIR platforms, allowing your modeling team to focus on loss analysis and portfolio strategy.

Ideal for
Catastrophe Modeling Teams
Risk Analytics
Reinsurance Underwriting

See AI agent for Catastrophe Modelers in action
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See AI agent for Catastrophe Modelers in action
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See AI agent for Catastrophe Modelers in action
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Q4 Portfolio Cat Model Run
See AI agent for Catastrophe Modelers in action
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Time comparison
Time comparison
Traditional way
3-5 days per portfolio
With V7 Go agents
2-4 hours
Average time saved
90%
Why V7 Go
Why V7 Go
Automated Geocoding Validation
Validates and corrects property addresses, assigns precise latitude/longitude coordinates, and flags ambiguous locations for review before model input.
Automated Geocoding Validation
Validates and corrects property addresses, assigns precise latitude/longitude coordinates, and flags ambiguous locations for review before model input.
Automated Geocoding Validation
Validates and corrects property addresses, assigns precise latitude/longitude coordinates, and flags ambiguous locations for review before model input.
Automated Geocoding Validation
Validates and corrects property addresses, assigns precise latitude/longitude coordinates, and flags ambiguous locations for review before model input.
Construction Class Mapping
Automatically maps building characteristics to RMS and AIR construction class taxonomies, ensuring consistent occupancy codes, construction types, and year-built classifications.
Construction Class Mapping
Automatically maps building characteristics to RMS and AIR construction class taxonomies, ensuring consistent occupancy codes, construction types, and year-built classifications.
Construction Class Mapping
Automatically maps building characteristics to RMS and AIR construction class taxonomies, ensuring consistent occupancy codes, construction types, and year-built classifications.
Construction Class Mapping
Automatically maps building characteristics to RMS and AIR construction class taxonomies, ensuring consistent occupancy codes, construction types, and year-built classifications.
Coverage Limit Standardization
Normalizes coverage amounts across building, contents, business interruption, and time element exposures, converting currencies and validating limit hierarchies.
Coverage Limit Standardization
Normalizes coverage amounts across building, contents, business interruption, and time element exposures, converting currencies and validating limit hierarchies.
Coverage Limit Standardization
Normalizes coverage amounts across building, contents, business interruption, and time element exposures, converting currencies and validating limit hierarchies.
Coverage Limit Standardization
Normalizes coverage amounts across building, contents, business interruption, and time element exposures, converting currencies and validating limit hierarchies.
Bulk Exposure Processing
Processes thousands of property records simultaneously, handling portfolio-level exposure files that would take analysts days to prepare manually.
Bulk Exposure Processing
Processes thousands of property records simultaneously, handling portfolio-level exposure files that would take analysts days to prepare manually.
Bulk Exposure Processing
Processes thousands of property records simultaneously, handling portfolio-level exposure files that would take analysts days to prepare manually.
Bulk Exposure Processing
Processes thousands of property records simultaneously, handling portfolio-level exposure files that would take analysts days to prepare manually.
Model Platform Integration
Formats exposure data to match RMS RiskLink and AIR Touchstone import specifications, eliminating manual reformatting and reducing model run errors.
Model Platform Integration
Formats exposure data to match RMS RiskLink and AIR Touchstone import specifications, eliminating manual reformatting and reducing model run errors.
Model Platform Integration
Formats exposure data to match RMS RiskLink and AIR Touchstone import specifications, eliminating manual reformatting and reducing model run errors.
Model Platform Integration
Formats exposure data to match RMS RiskLink and AIR Touchstone import specifications, eliminating manual reformatting and reducing model run errors.
Quality Control Reporting
Generates comprehensive data quality reports highlighting geocoding confidence scores, missing attributes, and exposure concentrations requiring analyst attention.
Quality Control Reporting
Generates comprehensive data quality reports highlighting geocoding confidence scores, missing attributes, and exposure concentrations requiring analyst attention.
Quality Control Reporting
Generates comprehensive data quality reports highlighting geocoding confidence scores, missing attributes, and exposure concentrations requiring analyst attention.
Quality Control Reporting
Generates comprehensive data quality reports highlighting geocoding confidence scores, missing attributes, and exposure concentrations requiring analyst attention.
Processes exposure data from any source
To deliver model-ready catastrophe inputs.
Get started
Get started



Import your files
Microsoft Excel
,
Snowflake
,
Tableau
Import your files from whereever they are currently stored
All types of Insurance documents supported
Once imported our system extracts and organises the essentials
Customer voices
Customer voices
Connect AI to your modeling workflow.
Connect AI to your modeling workflow.
Turn exposure files into model-ready data in minutes.
Turn exposure files into model-ready data in minutes.
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Customer Voices
Industrial equipment sales
We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.
Read the full story
Industrial equipment sales
We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.
Read the full story
Insurance
We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.
Read the full story
Insurance
We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.
Read the full story
Real Estate
Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.
Read the full story
Real Estate
Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.
Read the full story
Industrial equipment sales
We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.
Read the full story
Insurance
We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.
Read the full story
Real Estate
Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.
Read the full story
Finance
“Whenever I think about hiring, I first try to do it in V7 Go.” Discover how HITICCO uses V7 Go agents to accelerate and enrich their prospect research.
Read the full story
Finance
The experience with V7 has been fantastic. Very customized level of support. You feel like they really care about your outcome and objectives.
Read the full story
Features
Features
Results you can actually trust.
Reliable AI document processing toolkit.
Results you can trust.
Trustworthy AI document processing toolkit.
Supporting complex documents.
Up to 200 pages.
Exposure files come in countless formats. This agent handles everything from legacy Excel templates with custom macros to modern database exports with nested hierarchies. It processes property schedules regardless of how your organization structures location data.
Input types
50+ languages
Complex Hierarchies
200 pages
Multi-modal
Document types
Excel Models
CSV Files
Complex Tables
Database Exports
Nested Data
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
Exposure files come in countless formats. This agent handles everything from legacy Excel templates with custom macros to modern database exports with nested hierarchies. It processes property schedules regardless of how your organization structures location data.
Input types
50+ languages
Complex Hierarchies
200 pages
Multi-modal
Document types
Excel Models
CSV Files
Complex Tables
Database Exports
Nested Data
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
Exposure files come in countless formats. This agent handles everything from legacy Excel templates with custom macros to modern database exports with nested hierarchies. It processes property schedules regardless of how your organization structures location data.
Input types
50+ languages
Complex Hierarchies
200 pages
Multi-modal
Document types
Excel Models
CSV Files
Complex Tables
Database Exports
Nested Data
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate
through GenAI reasoning.
Catastrophe modeling demands precision. The agent uses sophisticated validation workflows to ensure property coordinates, construction characteristics, and coverage limits are captured with exceptional accuracy, ready for direct model input without manual verification.
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.
Catastrophe modeling demands precision. The agent uses sophisticated validation workflows to ensure property coordinates, construction characteristics, and coverage limits are captured with exceptional accuracy, ready for direct model input without manual verification.
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.
Catastrophe modeling demands precision. The agent uses sophisticated validation workflows to ensure property coordinates, construction characteristics, and coverage limits are captured with exceptional accuracy, ready for direct model input without manual verification.
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 data transformation. Each geocoded location, construction class assignment, and coverage limit is visually linked to its source in the original exposure file, providing complete transparency into the model preparation process.

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 data transformation. Each geocoded location, construction class assignment, and coverage limit is visually linked to its source in the original exposure file, providing complete transparency into the model preparation process.

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 data transformation. Each geocoded location, construction class assignment, and coverage limit is visually linked to its source in the original exposure file, providing complete transparency into the model preparation process.

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.
Exposure data contains highly sensitive property values and location information. V7 Go processes all catastrophe modeling files within your secure environment, ensuring confidentiality and compliance with data protection standards.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Exposure data contains highly sensitive property values and location information. V7 Go processes all catastrophe modeling files within your secure environment, ensuring confidentiality and compliance with data protection standards.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Exposure data contains highly sensitive property values and location information. V7 Go processes all catastrophe modeling files within your secure environment, ensuring confidentiality and compliance with data protection standards.
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 Catastrophe Modelers
How does the agent handle international property exposures?
The agent supports global geocoding and can map construction characteristics to both RMS and AIR international taxonomies. It handles multiple currencies, local construction standards, and region-specific occupancy classifications across all major catastrophe-prone territories.
+
How does the agent handle international property exposures?
The agent supports global geocoding and can map construction characteristics to both RMS and AIR international taxonomies. It handles multiple currencies, local construction standards, and region-specific occupancy classifications across all major catastrophe-prone territories.
+
How does the agent handle international property exposures?
The agent supports global geocoding and can map construction characteristics to both RMS and AIR international taxonomies. It handles multiple currencies, local construction standards, and region-specific occupancy classifications across all major catastrophe-prone territories.
+
Can it work with our existing exposure data format?
Yes. The agent adapts to your current exposure file structure, whether you use Excel, CSV, or database exports. It learns your column naming conventions and data hierarchies, eliminating the need to reformat source files before processing.
+
Can it work with our existing exposure data format?
Yes. The agent adapts to your current exposure file structure, whether you use Excel, CSV, or database exports. It learns your column naming conventions and data hierarchies, eliminating the need to reformat source files before processing.
+
Can it work with our existing exposure data format?
Yes. The agent adapts to your current exposure file structure, whether you use Excel, CSV, or database exports. It learns your column naming conventions and data hierarchies, eliminating the need to reformat source files before processing.
+
What happens when geocoding confidence is low?
The agent flags any property with geocoding confidence below your specified threshold and provides alternative coordinate suggestions. It creates a separate review file for these locations, allowing your team to validate only the uncertain records rather than the entire portfolio.
+
What happens when geocoding confidence is low?
The agent flags any property with geocoding confidence below your specified threshold and provides alternative coordinate suggestions. It creates a separate review file for these locations, allowing your team to validate only the uncertain records rather than the entire portfolio.
+
What happens when geocoding confidence is low?
The agent flags any property with geocoding confidence below your specified threshold and provides alternative coordinate suggestions. It creates a separate review file for these locations, allowing your team to validate only the uncertain records rather than the entire portfolio.
+
Does it support both RMS and AIR platforms?
Yes. The agent generates exposure files formatted for both RMS RiskLink and AIR Touchstone platforms. It can produce parallel outputs for the same exposure set, enabling you to run comparative analyses across modeling vendors.
+
Does it support both RMS and AIR platforms?
Yes. The agent generates exposure files formatted for both RMS RiskLink and AIR Touchstone platforms. It can produce parallel outputs for the same exposure set, enabling you to run comparative analyses across modeling vendors.
+
Does it support both RMS and AIR platforms?
Yes. The agent generates exposure files formatted for both RMS RiskLink and AIR Touchstone platforms. It can produce parallel outputs for the same exposure set, enabling you to run comparative analyses across modeling vendors.
+
How does it handle missing construction characteristics?
The agent applies intelligent defaults based on property location, occupancy type, and year built when construction details are missing. It documents all assumptions made and flags properties where critical characteristics are unavailable, ensuring transparency in the modeling process.
+
How does it handle missing construction characteristics?
The agent applies intelligent defaults based on property location, occupancy type, and year built when construction details are missing. It documents all assumptions made and flags properties where critical characteristics are unavailable, ensuring transparency in the modeling process.
+
How does it handle missing construction characteristics?
The agent applies intelligent defaults based on property location, occupancy type, and year built when construction details are missing. It documents all assumptions made and flags properties where critical characteristics are unavailable, ensuring transparency in the modeling process.
+
Can we validate the geocoding results?
Absolutely. Every geocoded location includes a confidence score and is visually linked back to the original address in your source file. The agent provides map visualizations of the entire portfolio, making it easy to spot and correct any obvious geocoding errors before model execution.
+
Can we validate the geocoding results?
Absolutely. Every geocoded location includes a confidence score and is visually linked back to the original address in your source file. The agent provides map visualizations of the entire portfolio, making it easy to spot and correct any obvious geocoding errors before model execution.
+
Can we validate the geocoding results?
Absolutely. Every geocoded location includes a confidence score and is visually linked back to the original address in your source file. The agent provides map visualizations of the entire portfolio, making it easy to spot and correct any obvious geocoding errors before model execution.
+
Next steps
Next steps
Still spending days preparing exposure files for cat models?
Send us a sample property exposure file, and we'll show you how our agent prepares it for RMS or AIR modeling 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:
