90% faster analysis
AI Loss Run Analyzer Agent
From hours of data entry to minutes of analysis
Delegate loss run analysis to a specialized AI agent. It extracts claims history from PDFs regardless of carrier format, standardizes the data, calculates loss ratios, and delivers structured results ready for underwriting decisions.

Ideal for
Underwriters
Risk Managers
Brokers

See AI Loss Run Analyzer Agent in action
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Commercial Property Renewal Analysis
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Time comparison
Time comparison
Traditional way
3-4 hours per loss run
With V7 Go agents
5-10 minutes
Average time saved
90%
Why V7 Go
Why V7 Go
Carrier-Agnostic Data Extraction
Extracts claims data from loss runs regardless of carrier format, layout, or table structure. Handles PDFs from major carriers and regional insurers with equal accuracy.
Carrier-Agnostic Data Extraction
Extracts claims data from loss runs regardless of carrier format, layout, or table structure. Handles PDFs from major carriers and regional insurers with equal accuracy.
Carrier-Agnostic Data Extraction
Extracts claims data from loss runs regardless of carrier format, layout, or table structure. Handles PDFs from major carriers and regional insurers with equal accuracy.
Carrier-Agnostic Data Extraction
Extracts claims data from loss runs regardless of carrier format, layout, or table structure. Handles PDFs from major carriers and regional insurers with equal accuracy.
Automatic Loss Ratio Calculation
Calculates loss ratios, frequency trends, and severity metrics automatically from extracted claims data, eliminating manual calculation errors.
Automatic Loss Ratio Calculation
Calculates loss ratios, frequency trends, and severity metrics automatically from extracted claims data, eliminating manual calculation errors.
Automatic Loss Ratio Calculation
Calculates loss ratios, frequency trends, and severity metrics automatically from extracted claims data, eliminating manual calculation errors.
Automatic Loss Ratio Calculation
Calculates loss ratios, frequency trends, and severity metrics automatically from extracted claims data, eliminating manual calculation errors.
Data Standardization & Normalization
Normalizes inconsistent date formats, claim descriptions, and amount fields across multiple carriers into a unified, comparable dataset.
Data Standardization & Normalization
Normalizes inconsistent date formats, claim descriptions, and amount fields across multiple carriers into a unified, comparable dataset.
Data Standardization & Normalization
Normalizes inconsistent date formats, claim descriptions, and amount fields across multiple carriers into a unified, comparable dataset.
Data Standardization & Normalization
Normalizes inconsistent date formats, claim descriptions, and amount fields across multiple carriers into a unified, comparable dataset.
Trend Analysis & Pattern Detection
Identifies claim frequency trends, seasonal patterns, and anomalies that inform renewal pricing and risk assessment decisions.
Trend Analysis & Pattern Detection
Identifies claim frequency trends, seasonal patterns, and anomalies that inform renewal pricing and risk assessment decisions.
Trend Analysis & Pattern Detection
Identifies claim frequency trends, seasonal patterns, and anomalies that inform renewal pricing and risk assessment decisions.
Trend Analysis & Pattern Detection
Identifies claim frequency trends, seasonal patterns, and anomalies that inform renewal pricing and risk assessment decisions.
Structured Output for Underwriting Systems
Delivers extracted data in structured formats (JSON, CSV, Excel) that integrate directly with underwriting platforms and pricing models.
Structured Output for Underwriting Systems
Delivers extracted data in structured formats (JSON, CSV, Excel) that integrate directly with underwriting platforms and pricing models.
Structured Output for Underwriting Systems
Delivers extracted data in structured formats (JSON, CSV, Excel) that integrate directly with underwriting platforms and pricing models.
Structured Output for Underwriting Systems
Delivers extracted data in structured formats (JSON, CSV, Excel) that integrate directly with underwriting platforms and pricing models.
Verifiable Source Citations
Every extracted claim amount and date is linked back to its precise location in the source loss run, creating an auditable record for underwriting decisions.
Verifiable Source Citations
Every extracted claim amount and date is linked back to its precise location in the source loss run, creating an auditable record for underwriting decisions.
Verifiable Source Citations
Every extracted claim amount and date is linked back to its precise location in the source loss run, creating an auditable record for underwriting decisions.
Verifiable Source Citations
Every extracted claim amount and date is linked back to its precise location in the source loss run, creating an auditable record for underwriting decisions.
Extracts claims history from any loss run
To deliver accurate loss ratios for underwriting.
Get started
Get started



Import your files
Microsoft Excel
,
Google Sheets
,
Salesforce
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.
Accelerate renewal decisions with faster data analysis.
Accelerate renewal decisions with faster data analysis.
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.
From any carrier.
Loss runs come in countless formats from different carriers. This agent handles them all—from major national insurers to regional carriers, scanned documents to digital PDFs, and legacy formats to modern layouts. It extracts consistent data regardless of source.
Input types
Multiple Carriers
Scanned PDFs
Legacy Formats
Complex Tables
Document types
PDFs
Scanned Images
Complex Tables
Multi-Column Layouts
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
From any carrier.
Loss runs come in countless formats from different carriers. This agent handles them all—from major national insurers to regional carriers, scanned documents to digital PDFs, and legacy formats to modern layouts. It extracts consistent data regardless of source.
Input types
Multiple Carriers
Scanned PDFs
Legacy Formats
Complex Tables
Document types
PDFs
Scanned Images
Complex Tables
Multi-Column Layouts
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
From any carrier.
Loss runs come in countless formats from different carriers. This agent handles them all—from major national insurers to regional carriers, scanned documents to digital PDFs, and legacy formats to modern layouts. It extracts consistent data regardless of source.
Input types
Multiple Carriers
Scanned PDFs
Legacy Formats
Complex Tables
Document types
PDFs
Scanned Images
Complex Tables
Multi-Column Layouts
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate
through multi-step validation.
In underwriting, precision is critical. This agent uses multi-step validation to ensure claim amounts, dates, and loss types are extracted with exceptional accuracy. Every figure is verified against the source document.
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 multi-step validation.
In underwriting, precision is critical. This agent uses multi-step validation to ensure claim amounts, dates, and loss types are extracted with exceptional accuracy. Every figure is verified against the source document.
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 multi-step validation.
In underwriting, precision is critical. This agent uses multi-step validation to ensure claim amounts, dates, and loss types are extracted with exceptional accuracy. Every figure is verified against the source document.
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 source data.
Every extracted claim is visually linked back to its precise location in the loss run. This creates a complete audit trail for underwriting decisions and makes verification instant.

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 source data.
Every extracted claim is visually linked back to its precise location in the loss run. This creates a complete audit trail for underwriting decisions and makes verification instant.

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 source data.
Every extracted claim is visually linked back to its precise location in the loss run. This creates a complete audit trail for underwriting decisions and makes verification instant.

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 sensitive underwriting data.
Loss runs contain sensitive claims and underwriting information. V7 Go processes these documents within your secure environment, ensuring confidentiality and compliance with insurance data privacy standards.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for sensitive underwriting data.
Loss runs contain sensitive claims and underwriting information. V7 Go processes these documents within your secure environment, ensuring confidentiality and compliance with insurance data privacy standards.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for sensitive underwriting data.
Loss runs contain sensitive claims and underwriting information. V7 Go processes these documents within your secure environment, ensuring confidentiality and compliance with insurance data privacy standards.
Certifications
GPDR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
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Answers
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What you need to know about our
AI Loss Run Analyzer Agent
How does it handle different carrier loss run formats?
The agent is trained to recognize and parse loss run formats from all major carriers and regional insurers. It adapts to different table structures, date formats, and claim description styles, extracting consistent data regardless of source.
+
How does it handle different carrier loss run formats?
The agent is trained to recognize and parse loss run formats from all major carriers and regional insurers. It adapts to different table structures, date formats, and claim description styles, extracting consistent data regardless of source.
+
How does it handle different carrier loss run formats?
The agent is trained to recognize and parse loss run formats from all major carriers and regional insurers. It adapts to different table structures, date formats, and claim description styles, extracting consistent data regardless of source.
+
What data points does it extract?
The agent extracts claim dates, claim amounts, loss types, claim status, deductibles, and any other data visible in the loss run. It standardizes all fields for easy comparison and analysis.
+
What data points does it extract?
The agent extracts claim dates, claim amounts, loss types, claim status, deductibles, and any other data visible in the loss run. It standardizes all fields for easy comparison and analysis.
+
What data points does it extract?
The agent extracts claim dates, claim amounts, loss types, claim status, deductibles, and any other data visible in the loss run. It standardizes all fields for easy comparison and analysis.
+
Can it calculate loss ratios automatically?
Yes. The agent calculates loss ratios, loss frequency, average claim severity, and other key underwriting metrics directly from the extracted data, ready for renewal pricing decisions.
+
Can it calculate loss ratios automatically?
Yes. The agent calculates loss ratios, loss frequency, average claim severity, and other key underwriting metrics directly from the extracted data, ready for renewal pricing decisions.
+
Can it calculate loss ratios automatically?
Yes. The agent calculates loss ratios, loss frequency, average claim severity, and other key underwriting metrics directly from the extracted data, ready for renewal pricing decisions.
+
How accurate is the data extraction?
The agent achieves high accuracy by using multi-step validation and linking every extracted figure back to its source in the PDF. For critical underwriting decisions, every data point is visually verifiable.
+
How accurate is the data extraction?
The agent achieves high accuracy by using multi-step validation and linking every extracted figure back to its source in the PDF. For critical underwriting decisions, every data point is visually verifiable.
+
How accurate is the data extraction?
The agent achieves high accuracy by using multi-step validation and linking every extracted figure back to its source in the PDF. For critical underwriting decisions, every data point is visually verifiable.
+
What format is the output?
The agent delivers structured output in JSON, CSV, or Excel format, depending on your preference. The data is formatted to integrate directly with your underwriting and pricing systems.
+
What format is the output?
The agent delivers structured output in JSON, CSV, or Excel format, depending on your preference. The data is formatted to integrate directly with your underwriting and pricing systems.
+
What format is the output?
The agent delivers structured output in JSON, CSV, or Excel format, depending on your preference. The data is formatted to integrate directly with your underwriting and pricing systems.
+
Can it handle scanned or low-quality PDFs?
Yes. The agent uses advanced OCR and image processing to extract data from scanned loss runs, faxed documents, and PDFs with varying quality levels.
+
Can it handle scanned or low-quality PDFs?
Yes. The agent uses advanced OCR and image processing to extract data from scanned loss runs, faxed documents, and PDFs with varying quality levels.
+
Can it handle scanned or low-quality PDFs?
Yes. The agent uses advanced OCR and image processing to extract data from scanned loss runs, faxed documents, and PDFs with varying quality levels.
+
Next steps
Next steps
Still manually extracting loss run data?
Send us a sample loss run from any carrier, and we'll show you how to extract and analyze it 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:
