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

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See AI agent for Catastrophe Modelers in action

Play video

  • Mercedes-Benz logo
    SMC  logo
    Gradient rectangle
    Centerline logo
    Abstract graphic with black and white elements
    Abstract pattern with overlapping shapes.
    Alaris logo
    Progress bar with text at bottom percentage
    SITO logo
    Diagonal stripes on a rectangular background
    SVG logo for Reddit
    Grey and black abstract symbol
    Foobar logo
    ABL logo
    SVG logo for Google
    Bar chart with two bars of different heights
    Brotherhood Mutual logo
    Black and white abstract graphic.
    Paige logo
    Roche logo
    Logo with abstract shapes and text.
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Light gray waveform pattern on white background
    SVG logo with black letters
    Abstract pattern with blue and green colors

See AI agent for Catastrophe Modelers in action

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Q4 Portfolio Cat Model Run

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    SMC  logo
    Gradient rectangle
    Centerline logo
    Abstract graphic with black and white elements
    Abstract pattern with overlapping shapes.
    Alaris logo
    Progress bar with text at bottom percentage
    SITO logo
    Diagonal stripes on a rectangular background
    SVG logo for Reddit
    Grey and black abstract symbol
    Foobar logo
    ABL logo
    SVG logo for Google
    Bar chart with two bars of different heights
    Brotherhood Mutual logo
    Black and white abstract graphic.
    Paige logo
    Roche logo
    Logo with abstract shapes and text.
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Light gray waveform pattern on white background
    SVG logo with black letters
    Abstract pattern with blue and green colors

See AI agent for Catastrophe Modelers in action

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Time comparison

Traditional way

3-5 days per portfolio

With V7 Go agents

2-4 hours

Average time saved

90%

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.

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.

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.

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.

Customer voices

Customer voices

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

Customer Voices

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

12

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

12

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

OpenAI, Anthropic, Gemini logos

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

OpenAI, Anthropic, Gemini logos

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

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

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.

+

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.

+

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.

+

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

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:

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    Abstract pattern with blue and green colors
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    Gradient rectangle
    Diagonal stripes on a rectangular background
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    SVG logo for Reddit

Uncover hidden liabilities

in

supplier contracts.

V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:

  • Logo with abstract shapes and text.
    SITO logo
    Abstract pattern with blue and green colors
    SVG logo for Google
    Progress bar with text at bottom percentage
    Bar chart with two bars of different heights
    Gradient rectangle
    Diagonal stripes on a rectangular background
    Abstract pattern with overlapping shapes.
    SVG logo for Reddit