90% faster data extraction
AI agent for Loss Run Analysts
From carrier chaos to clean data
Delegate loss run data extraction to a specialized AI agent. It reads PDF loss runs from any carrier, extracts claims history regardless of format variations, calculates loss ratios automatically, and delivers standardized data ready for your underwriting analysis.

Ideal for
Commercial Underwriters
Renewal Teams
Loss Control Analysts

See AI agent for Loss Run Analysts in action
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Renewal Analysis - Acme Manufacturing
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Time comparison
Time comparison
Traditional way
45-90 minutes per loss run
With V7 Go agents
3-5 minutes
Average time saved
90%
Why V7 Go
Why V7 Go
Multi-Carrier Format Recognition
Automatically processes loss runs from any insurance carrier, adapting to different table layouts, column orders, and terminology variations without requiring manual template configuration.
Multi-Carrier Format Recognition
Automatically processes loss runs from any insurance carrier, adapting to different table layouts, column orders, and terminology variations without requiring manual template configuration.
Multi-Carrier Format Recognition
Automatically processes loss runs from any insurance carrier, adapting to different table layouts, column orders, and terminology variations without requiring manual template configuration.
Multi-Carrier Format Recognition
Automatically processes loss runs from any insurance carrier, adapting to different table layouts, column orders, and terminology variations without requiring manual template configuration.
Automated Loss Ratio Calculation
Extracts incurred amounts, paid losses, and premium data to calculate loss ratios by policy year, coverage type, and claim category, eliminating manual spreadsheet formulas and calculation errors.
Automated Loss Ratio Calculation
Extracts incurred amounts, paid losses, and premium data to calculate loss ratios by policy year, coverage type, and claim category, eliminating manual spreadsheet formulas and calculation errors.
Automated Loss Ratio Calculation
Extracts incurred amounts, paid losses, and premium data to calculate loss ratios by policy year, coverage type, and claim category, eliminating manual spreadsheet formulas and calculation errors.
Automated Loss Ratio Calculation
Extracts incurred amounts, paid losses, and premium data to calculate loss ratios by policy year, coverage type, and claim category, eliminating manual spreadsheet formulas and calculation errors.
Claims Frequency Analysis
Identifies claim frequency patterns across policy periods, flagging unusual spikes or trends that require underwriter attention during renewal evaluation.
Claims Frequency Analysis
Identifies claim frequency patterns across policy periods, flagging unusual spikes or trends that require underwriter attention during renewal evaluation.
Claims Frequency Analysis
Identifies claim frequency patterns across policy periods, flagging unusual spikes or trends that require underwriter attention during renewal evaluation.
Claims Frequency Analysis
Identifies claim frequency patterns across policy periods, flagging unusual spikes or trends that require underwriter attention during renewal evaluation.
Standardized Data Output
Converts inconsistent carrier formats into a uniform data structure, enabling direct comparison across multiple insureds and integration with your underwriting management system.
Standardized Data Output
Converts inconsistent carrier formats into a uniform data structure, enabling direct comparison across multiple insureds and integration with your underwriting management system.
Standardized Data Output
Converts inconsistent carrier formats into a uniform data structure, enabling direct comparison across multiple insureds and integration with your underwriting management system.
Standardized Data Output
Converts inconsistent carrier formats into a uniform data structure, enabling direct comparison across multiple insureds and integration with your underwriting management system.
Large Claim Identification
Automatically flags claims exceeding specified thresholds, highlighting catastrophic losses and severity trends that impact pricing decisions and risk appetite.
Large Claim Identification
Automatically flags claims exceeding specified thresholds, highlighting catastrophic losses and severity trends that impact pricing decisions and risk appetite.
Large Claim Identification
Automatically flags claims exceeding specified thresholds, highlighting catastrophic losses and severity trends that impact pricing decisions and risk appetite.
Large Claim Identification
Automatically flags claims exceeding specified thresholds, highlighting catastrophic losses and severity trends that impact pricing decisions and risk appetite.
Verifiable Data Extraction
Every extracted claim amount, date, and description is visually linked back to its exact location in the source PDF, providing a complete audit trail for underwriting file documentation.
Verifiable Data Extraction
Every extracted claim amount, date, and description is visually linked back to its exact location in the source PDF, providing a complete audit trail for underwriting file documentation.
Verifiable Data Extraction
Every extracted claim amount, date, and description is visually linked back to its exact location in the source PDF, providing a complete audit trail for underwriting file documentation.
Verifiable Data Extraction
Every extracted claim amount, date, and description is visually linked back to its exact location in the source PDF, providing a complete audit trail for underwriting file documentation.
Processes loss runs from any carrier
To deliver standardized claims data for underwriting analysis.
Get started
Get started



Import your files
Microsoft Excel
,
Salesforce
,
Google Sheets
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 underwriting workflow.
Connect AI to your underwriting workflow.
Turn carrier chaos into clean, comparable claims data.
Turn carrier chaos into clean, comparable claims data.
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.
Loss runs come in countless formats from different carriers. This agent handles everything from clean digital PDFs to scanned faxes with complex multi-page tables, extracting claims data regardless of layout variations or document quality.
Input types
50+ languages
Low-Quality Scans
200 pages
Multi-modal
Document types
PDFs
Scanned Documents
Complex Tables
Multi-Page Layouts
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
Loss runs come in countless formats from different carriers. This agent handles everything from clean digital PDFs to scanned faxes with complex multi-page tables, extracting claims data regardless of layout variations or document quality.
Input types
50+ languages
Low-Quality Scans
200 pages
Multi-modal
Document types
PDFs
Scanned Documents
Complex Tables
Multi-Page Layouts
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
Loss runs come in countless formats from different carriers. This agent handles everything from clean digital PDFs to scanned faxes with complex multi-page tables, extracting claims data regardless of layout variations or document quality.
Input types
50+ languages
Low-Quality Scans
200 pages
Multi-modal
Document types
PDFs
Scanned Documents
Complex Tables
Multi-Page Layouts
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate
through GenAI reasoning.
Pricing decisions depend on accurate loss data. The agent uses multi-step validation to ensure claim amounts, dates, and calculations are extracted with precision, eliminating the manual errors that can distort loss ratios and renewal pricing.
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.
Pricing decisions depend on accurate loss data. The agent uses multi-step validation to ensure claim amounts, dates, and calculations are extracted with precision, eliminating the manual errors that can distort loss ratios and renewal pricing.
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.
Pricing decisions depend on accurate loss data. The agent uses multi-step validation to ensure claim amounts, dates, and calculations are extracted with precision, eliminating the manual errors that can distort loss ratios and renewal pricing.
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.
Build confidence in your underwriting decisions. Every extracted claim amount and date is visually linked to its exact location in the source loss run, providing instant verification and a complete audit trail for file documentation.

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.
Build confidence in your underwriting decisions. Every extracted claim amount and date is visually linked to its exact location in the source loss run, providing instant verification and a complete audit trail for file documentation.

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.
Build confidence in your underwriting decisions. Every extracted claim amount and date is visually linked to its exact location in the source loss run, providing instant verification and a complete audit trail for file documentation.

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.
Loss runs contain sensitive claims information and insured data. V7 Go processes these documents within your secure environment, ensuring confidentiality and compliance with insurance data protection standards.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Loss runs contain sensitive claims information and insured data. V7 Go processes these documents within your secure environment, ensuring confidentiality and compliance with insurance data protection standards.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Loss runs contain sensitive claims information and insured data. V7 Go processes these documents within your secure environment, ensuring confidentiality and compliance with insurance 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 Loss Run Analysts
How does it handle different carrier formats?
The agent uses advanced table recognition to identify claims data regardless of carrier-specific formatting. It understands semantic relationships between columns, so it correctly extracts data even when carriers use different column orders, headers, or terminology for the same information.
+
How does it handle different carrier formats?
The agent uses advanced table recognition to identify claims data regardless of carrier-specific formatting. It understands semantic relationships between columns, so it correctly extracts data even when carriers use different column orders, headers, or terminology for the same information.
+
How does it handle different carrier formats?
The agent uses advanced table recognition to identify claims data regardless of carrier-specific formatting. It understands semantic relationships between columns, so it correctly extracts data even when carriers use different column orders, headers, or terminology for the same information.
+
Can it process multi-year loss runs?
Yes. The agent automatically segments claims by policy year, even when carriers present data in complex multi-year formats with varying levels of detail. It maintains the temporal structure needed for accurate loss development analysis.
+
Can it process multi-year loss runs?
Yes. The agent automatically segments claims by policy year, even when carriers present data in complex multi-year formats with varying levels of detail. It maintains the temporal structure needed for accurate loss development analysis.
+
Can it process multi-year loss runs?
Yes. The agent automatically segments claims by policy year, even when carriers present data in complex multi-year formats with varying levels of detail. It maintains the temporal structure needed for accurate loss development analysis.
+
What happens with scanned or low-quality PDFs?
The agent includes advanced OCR capabilities specifically tuned for insurance documents. It can extract data from scanned loss runs, faxed documents, and low-resolution PDFs that would be unreadable by standard extraction tools.
+
What happens with scanned or low-quality PDFs?
The agent includes advanced OCR capabilities specifically tuned for insurance documents. It can extract data from scanned loss runs, faxed documents, and low-resolution PDFs that would be unreadable by standard extraction tools.
+
What happens with scanned or low-quality PDFs?
The agent includes advanced OCR capabilities specifically tuned for insurance documents. It can extract data from scanned loss runs, faxed documents, and low-resolution PDFs that would be unreadable by standard extraction tools.
+
How accurate is the loss ratio calculation?
The agent achieves high accuracy by using multi-step validation. It cross-references extracted premium amounts with incurred losses, validates date ranges, and flags any mathematical inconsistencies for review before finalizing calculations.
+
How accurate is the loss ratio calculation?
The agent achieves high accuracy by using multi-step validation. It cross-references extracted premium amounts with incurred losses, validates date ranges, and flags any mathematical inconsistencies for review before finalizing calculations.
+
How accurate is the loss ratio calculation?
The agent achieves high accuracy by using multi-step validation. It cross-references extracted premium amounts with incurred losses, validates date ranges, and flags any mathematical inconsistencies for review before finalizing calculations.
+
Can it identify specific claim types or causes?
Yes. The agent extracts claim descriptions and categorizes them by type when that information is present in the loss run. It can identify patterns like slip-and-fall claims, auto liability, or property damage to support risk assessment.
+
Can it identify specific claim types or causes?
Yes. The agent extracts claim descriptions and categorizes them by type when that information is present in the loss run. It can identify patterns like slip-and-fall claims, auto liability, or property damage to support risk assessment.
+
Can it identify specific claim types or causes?
Yes. The agent extracts claim descriptions and categorizes them by type when that information is present in the loss run. It can identify patterns like slip-and-fall claims, auto liability, or property damage to support risk assessment.
+
What format is the final output?
The agent delivers structured data in Excel or CSV format, with each claim as a separate row and standardized columns for date of loss, claim amount, status, and other key fields. This format integrates directly with most underwriting systems.
+
What format is the final output?
The agent delivers structured data in Excel or CSV format, with each claim as a separate row and standardized columns for date of loss, claim amount, status, and other key fields. This format integrates directly with most underwriting systems.
+
What format is the final output?
The agent delivers structured data in Excel or CSV format, with each claim as a separate row and standardized columns for date of loss, claim amount, status, and other key fields. This format integrates directly with most underwriting systems.
+
Next steps
Next steps
Still manually typing claims data into spreadsheets?
Send us a few loss runs from different carriers, and we'll show you how our AI agent can standardize them all in minutes.
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:
