Real-time trigger assessment
AI agent for Insurance-Linked Securities Investors
From weather data to trigger assessment in minutes
Delegate catastrophe bond trigger analysis to a specialized AI agent. It monitors meteorological data feeds, models trigger events against bond parameters, and delivers precise assessments of whether catastrophe bonds have been activated, allowing your investment team to focus on portfolio strategy and risk management.

Ideal for
ILS Fund Managers
Catastrophe Bond Traders
Alternative Investment Teams

See AI agent for Insurance-Linked Securities Investors in action
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See AI agent for Insurance-Linked Securities Investors in action
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See AI agent for Insurance-Linked Securities Investors in action
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Hurricane Milton Trigger Assessment
See AI agent for Insurance-Linked Securities Investors in action
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Time comparison
Time comparison
Traditional way
4-8 hours per event
With V7 Go agents
5-10 minutes
Average time saved
95%
Why V7 Go
Why V7 Go
Automated Meteorological Data Processing
Continuously monitors and processes data from NOAA, European weather services, seismological networks, and proprietary meteorological feeds to track potential trigger events in real time.
Automated Meteorological Data Processing
Continuously monitors and processes data from NOAA, European weather services, seismological networks, and proprietary meteorological feeds to track potential trigger events in real time.
Automated Meteorological Data Processing
Continuously monitors and processes data from NOAA, European weather services, seismological networks, and proprietary meteorological feeds to track potential trigger events in real time.
Automated Meteorological Data Processing
Continuously monitors and processes data from NOAA, European weather services, seismological networks, and proprietary meteorological feeds to track potential trigger events in real time.
Parametric Trigger Calculation
Automatically calculates whether meteorological events meet the specific parametric triggers defined in catastrophe bond prospectuses, including wind speed thresholds, earthquake magnitudes, and geographic zones.
Parametric Trigger Calculation
Automatically calculates whether meteorological events meet the specific parametric triggers defined in catastrophe bond prospectuses, including wind speed thresholds, earthquake magnitudes, and geographic zones.
Parametric Trigger Calculation
Automatically calculates whether meteorological events meet the specific parametric triggers defined in catastrophe bond prospectuses, including wind speed thresholds, earthquake magnitudes, and geographic zones.
Parametric Trigger Calculation
Automatically calculates whether meteorological events meet the specific parametric triggers defined in catastrophe bond prospectuses, including wind speed thresholds, earthquake magnitudes, and geographic zones.
Multi-Peril Portfolio Analysis
Simultaneously tracks trigger conditions across diverse catastrophe perils including hurricanes, earthquakes, wildfires, and severe convective storms for comprehensive portfolio monitoring.
Multi-Peril Portfolio Analysis
Simultaneously tracks trigger conditions across diverse catastrophe perils including hurricanes, earthquakes, wildfires, and severe convective storms for comprehensive portfolio monitoring.
Multi-Peril Portfolio Analysis
Simultaneously tracks trigger conditions across diverse catastrophe perils including hurricanes, earthquakes, wildfires, and severe convective storms for comprehensive portfolio monitoring.
Multi-Peril Portfolio Analysis
Simultaneously tracks trigger conditions across diverse catastrophe perils including hurricanes, earthquakes, wildfires, and severe convective storms for comprehensive portfolio monitoring.
Historical Event Correlation
Cross-references current meteorological data against historical catastrophe patterns and previous trigger events to provide context for investment decisions and risk assessment.
Historical Event Correlation
Cross-references current meteorological data against historical catastrophe patterns and previous trigger events to provide context for investment decisions and risk assessment.
Historical Event Correlation
Cross-references current meteorological data against historical catastrophe patterns and previous trigger events to provide context for investment decisions and risk assessment.
Historical Event Correlation
Cross-references current meteorological data against historical catastrophe patterns and previous trigger events to provide context for investment decisions and risk assessment.
Prospectus Parameter Extraction
Automatically extracts and indexes trigger parameters from catastrophe bond prospectuses, creating a structured database of thresholds, measurement methodologies, and reporting requirements.
Prospectus Parameter Extraction
Automatically extracts and indexes trigger parameters from catastrophe bond prospectuses, creating a structured database of thresholds, measurement methodologies, and reporting requirements.
Prospectus Parameter Extraction
Automatically extracts and indexes trigger parameters from catastrophe bond prospectuses, creating a structured database of thresholds, measurement methodologies, and reporting requirements.
Prospectus Parameter Extraction
Automatically extracts and indexes trigger parameters from catastrophe bond prospectuses, creating a structured database of thresholds, measurement methodologies, and reporting requirements.
Verifiable Data Lineage
Links every trigger assessment back to the specific meteorological data points and bond parameters used in the calculation, providing a complete audit trail for investment committee decisions.
Verifiable Data Lineage
Links every trigger assessment back to the specific meteorological data points and bond parameters used in the calculation, providing a complete audit trail for investment committee decisions.
Verifiable Data Lineage
Links every trigger assessment back to the specific meteorological data points and bond parameters used in the calculation, providing a complete audit trail for investment committee decisions.
Verifiable Data Lineage
Links every trigger assessment back to the specific meteorological data points and bond parameters used in the calculation, providing a complete audit trail for investment committee decisions.
Processes meteorological data and bond parameters
To deliver precise trigger assessments.
Get started
Get started



Import your files
Snowflake
,
Tableau
,
Microsoft Excel
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 meteorological intelligence.
Connect AI to meteorological intelligence.
Turn weather data into investment decisions faster.
Turn weather data into investment decisions faster.
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 formats.
From multiple sources.
Meteorological data comes in diverse formats from different providers. This agent processes everything from NOAA JSON feeds and USGS seismological reports to proprietary catastrophe model outputs and reinsurance company data streams, regardless of structure or format.
Input types
Real-time feeds
Historical archives
Multi-source data
API integration
Document types
JSON
XML
CSV
Time-series data
Geospatial files
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex data formats.
From multiple sources.
Meteorological data comes in diverse formats from different providers. This agent processes everything from NOAA JSON feeds and USGS seismological reports to proprietary catastrophe model outputs and reinsurance company data streams, regardless of structure or format.
Input types
Real-time feeds
Historical archives
Multi-source data
API integration
Document types
JSON
XML
CSV
Time-series data
Geospatial files
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex data formats.
From multiple sources.
Meteorological data comes in diverse formats from different providers. This agent processes everything from NOAA JSON feeds and USGS seismological reports to proprietary catastrophe model outputs and reinsurance company data streams, regardless of structure or format.
Input types
Real-time feeds
Historical archives
Multi-source data
API integration
Document types
JSON
XML
CSV
Time-series data
Geospatial files
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate
through GenAI reasoning.
Investment decisions in catastrophe bonds require precise trigger calculations. The agent uses multi-step workflows to ensure meteorological measurements, geographic coordinates, and parametric thresholds are processed with exceptional accuracy, eliminating calculation errors that could lead to incorrect trigger assessments.
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.
Investment decisions in catastrophe bonds require precise trigger calculations. The agent uses multi-step workflows to ensure meteorological measurements, geographic coordinates, and parametric thresholds are processed with exceptional accuracy, eliminating calculation errors that could lead to incorrect trigger assessments.
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.
Investment decisions in catastrophe bonds require precise trigger calculations. The agent uses multi-step workflows to ensure meteorological measurements, geographic coordinates, and parametric thresholds are processed with exceptional accuracy, eliminating calculation errors that could lead to incorrect trigger assessments.
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 trigger assessment with complete transparency. Each calculation is visually linked to the specific meteorological data points and bond parameters used, providing a defensible audit trail for investment committee decisions and regulatory reporting.

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 trigger assessment with complete transparency. Each calculation is visually linked to the specific meteorological data points and bond parameters used, providing a defensible audit trail for investment committee decisions and regulatory reporting.

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 trigger assessment with complete transparency. Each calculation is visually linked to the specific meteorological data points and bond parameters used, providing a defensible audit trail for investment committee decisions and regulatory reporting.

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.
Catastrophe bond portfolios and trigger methodologies are proprietary investment strategies. V7 Go processes all meteorological data and bond parameters within your secure environment, ensuring confidentiality and compliance with financial services data protection standards.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Catastrophe bond portfolios and trigger methodologies are proprietary investment strategies. V7 Go processes all meteorological data and bond parameters within your secure environment, ensuring confidentiality and compliance with financial services data protection standards.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Catastrophe bond portfolios and trigger methodologies are proprietary investment strategies. V7 Go processes all meteorological data and bond parameters within your secure environment, ensuring confidentiality and compliance with financial services 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 Insurance-Linked Securities Investors
How does the agent handle different trigger methodologies?
The agent is designed to work with all standard catastrophe bond trigger structures, including parametric triggers based on physical measurements, modeled loss triggers using industry loss indices, and indemnity triggers tied to actual insurer losses. It adapts to the specific methodology defined in each bond's prospectus.
+
How does the agent handle different trigger methodologies?
The agent is designed to work with all standard catastrophe bond trigger structures, including parametric triggers based on physical measurements, modeled loss triggers using industry loss indices, and indemnity triggers tied to actual insurer losses. It adapts to the specific methodology defined in each bond's prospectus.
+
How does the agent handle different trigger methodologies?
The agent is designed to work with all standard catastrophe bond trigger structures, including parametric triggers based on physical measurements, modeled loss triggers using industry loss indices, and indemnity triggers tied to actual insurer losses. It adapts to the specific methodology defined in each bond's prospectus.
+
What meteorological data sources does it support?
The agent integrates with major meteorological data providers including NOAA, the European Centre for Medium-Range Weather Forecasts, USGS seismological networks, and proprietary catastrophe modeling services. It can also process custom data feeds from reinsurance companies and specialized weather services.
+
What meteorological data sources does it support?
The agent integrates with major meteorological data providers including NOAA, the European Centre for Medium-Range Weather Forecasts, USGS seismological networks, and proprietary catastrophe modeling services. It can also process custom data feeds from reinsurance companies and specialized weather services.
+
What meteorological data sources does it support?
The agent integrates with major meteorological data providers including NOAA, the European Centre for Medium-Range Weather Forecasts, USGS seismological networks, and proprietary catastrophe modeling services. It can also process custom data feeds from reinsurance companies and specialized weather services.
+
How quickly can it assess trigger events?
The agent processes meteorological data in real time as it becomes available. For a typical catastrophe event, it can assess trigger status across an entire portfolio within minutes of receiving updated measurements, compared to hours or days for manual analysis.
+
How quickly can it assess trigger events?
The agent processes meteorological data in real time as it becomes available. For a typical catastrophe event, it can assess trigger status across an entire portfolio within minutes of receiving updated measurements, compared to hours or days for manual analysis.
+
How quickly can it assess trigger events?
The agent processes meteorological data in real time as it becomes available. For a typical catastrophe event, it can assess trigger status across an entire portfolio within minutes of receiving updated measurements, compared to hours or days for manual analysis.
+
Can it model complex multi-event triggers?
Yes. The agent handles sophisticated trigger structures including aggregate annual triggers, multiple-event thresholds, and cascading trigger conditions. It maintains a running calculation of cumulative losses and event counts throughout the risk period.
+
Can it model complex multi-event triggers?
Yes. The agent handles sophisticated trigger structures including aggregate annual triggers, multiple-event thresholds, and cascading trigger conditions. It maintains a running calculation of cumulative losses and event counts throughout the risk period.
+
Can it model complex multi-event triggers?
Yes. The agent handles sophisticated trigger structures including aggregate annual triggers, multiple-event thresholds, and cascading trigger conditions. It maintains a running calculation of cumulative losses and event counts throughout the risk period.
+
How does it ensure data accuracy for investment decisions?
Every trigger assessment is linked back to the source meteorological data with AI Citations, showing exactly which measurements were used and how they were applied to the bond's trigger formula. This allows your team to verify the calculation methodology and data quality before making investment decisions.
+
How does it ensure data accuracy for investment decisions?
Every trigger assessment is linked back to the source meteorological data with AI Citations, showing exactly which measurements were used and how they were applied to the bond's trigger formula. This allows your team to verify the calculation methodology and data quality before making investment decisions.
+
How does it ensure data accuracy for investment decisions?
Every trigger assessment is linked back to the source meteorological data with AI Citations, showing exactly which measurements were used and how they were applied to the bond's trigger formula. This allows your team to verify the calculation methodology and data quality before making investment decisions.
+
What is the output format?
The agent delivers structured trigger assessments in JSON or Excel format, including trigger status, confidence levels, supporting meteorological data, and relevant bond parameters. This output can be integrated directly into portfolio management systems or risk dashboards.
+
What is the output format?
The agent delivers structured trigger assessments in JSON or Excel format, including trigger status, confidence levels, supporting meteorological data, and relevant bond parameters. This output can be integrated directly into portfolio management systems or risk dashboards.
+
What is the output format?
The agent delivers structured trigger assessments in JSON or Excel format, including trigger status, confidence levels, supporting meteorological data, and relevant bond parameters. This output can be integrated directly into portfolio management systems or risk dashboards.
+
Next steps
Next steps
Still tracking hurricane paths manually for your cat bond portfolio?
Share your catastrophe bond prospectuses and meteorological data feeds. We'll demonstrate automated trigger modeling that delivers assessments in minutes, not 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:
