90% faster data prep

AI agent for Actuarial Analysts

AI agent for Actuarial Analysts

AI agent for Actuarial Analysts

AI agent for Actuarial Analysts

From weeks of data prep to hours

From weeks of data prep to hours

From weeks of data prep to hours

From weeks of data prep to hours

Delegate the tedious work of loss data preparation to a specialized AI agent. It cleans historical claims data, standardizes formats, categorizes losses by type and severity, validates data integrity, and delivers model-ready datasets that feed directly into your pricing models.

Ideal for

Actuarial Teams

Pricing Analysts

Reserving Actuaries

  • Mercedes-Benz logo
    SMC  logo
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    Centerline logo
    Abstract graphic with black and white elements
    Abstract pattern with overlapping shapes.
    Alaris logo
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    SITO logo
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    SVG logo for Reddit
    Grey and black abstract symbol
    Foobar logo
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    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
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    SVG logo with black letters
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See AI agent for Actuarial Analysts in action

Play video

Q4 Loss Data Preparation

  • 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 Actuarial Analysts 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 Actuarial Analysts in action

Play video

Time comparison

Traditional way

2-3 weeks

With V7 Go agents

3-4 hours

Average time saved

90%

Why V7 Go

Automated Data Cleaning

Identifies and removes duplicate claims, corrects formatting errors, standardizes date formats, and validates data integrity across thousands of records in minutes.

Automated Data Cleaning

Identifies and removes duplicate claims, corrects formatting errors, standardizes date formats, and validates data integrity across thousands of records in minutes.

Intelligent Loss Categorization

Automatically categorizes claims by line of business, coverage type, loss cause, and severity using your firm's classification schema and historical patterns.

Intelligent Loss Categorization

Automatically categorizes claims by line of business, coverage type, loss cause, and severity using your firm's classification schema and historical patterns.

Outlier Detection

Flags statistical outliers, unusual claim patterns, and data anomalies that require actuarial judgment, ensuring your models are built on reliable data.

Outlier Detection

Flags statistical outliers, unusual claim patterns, and data anomalies that require actuarial judgment, ensuring your models are built on reliable data.

Format Standardization

Converts inconsistent data formats from multiple sources into a single, standardized schema that feeds directly into your actuarial modeling software.

Format Standardization

Converts inconsistent data formats from multiple sources into a single, standardized schema that feeds directly into your actuarial modeling software.

Missing Data Handling

Identifies missing critical fields, applies appropriate imputation methods based on your guidelines, and flags records requiring manual review for completeness.

Missing Data Handling

Identifies missing critical fields, applies appropriate imputation methods based on your guidelines, and flags records requiring manual review for completeness.

Audit Trail Documentation

Creates a complete record of all data transformations, cleaning steps, and categorization decisions with citations to source records for regulatory compliance and peer review.

Audit Trail Documentation

Creates a complete record of all data transformations, cleaning steps, and categorization decisions with citations to source records for regulatory compliance and peer review.

Processes any claims data format

To deliver model-ready datasets.

Get started

Logo
Logo
Logo

Import your files

Microsoft Excel

,

Snowflake

,

Google Sheets

Import your files from whereever they are currently stored

Precision AI

AI for multi-billion dollar workflows

V7 built the Operating System for financial decisions. A new standard for institutional intelligence built for high-stakes financial decisions.

Precision AI

AI for multi-billion dollar workflows

V7 built the Operating System for financial decisions. A new standard for institutional intelligence built for high-stakes financial decisions.

Precision AI

AI for multi-billion dollar workflows

V7 built the Operating System for financial decisions. A new standard for institutional intelligence built for high-stakes financial decisions.

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.

Actuarial data comes in countless formats. This agent handles everything from legacy Excel files with inconsistent schemas to scanned loss run reports and multi-tab spreadsheets with embedded calculations.

Input types

50+ languages

Legacy Formats

200 pages

Multi-modal

Document types

PDFs

Complex Tables

Nested Spreadsheets

Scanned Documents

CSV Files

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.

Up to 200 pages.

Actuarial data comes in countless formats. This agent handles everything from legacy Excel files with inconsistent schemas to scanned loss run reports and multi-tab spreadsheets with embedded calculations.

Input types

50+ languages

Legacy Formats

200 pages

Multi-modal

Document types

PDFs

Complex Tables

Nested Spreadsheets

Scanned Documents

CSV Files

Vendor_US.xlsx

12

Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate

through GenAI reasoning.

Pricing models demand precision. The agent uses sophisticated validation logic to ensure claim amounts, dates, and categories are extracted with near-perfect accuracy, eliminating the data errors that compromise model reliability.

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.

Pricing models demand precision. The agent uses sophisticated validation logic to ensure claim amounts, dates, and categories are extracted with near-perfect accuracy, eliminating the data errors that compromise model reliability.

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.

Every data transformation is auditable. Each cleaned record, categorization decision, and outlier flag is linked back to the source data, providing complete transparency for actuarial review and regulatory compliance.

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.

Every data transformation is auditable. Each cleaned record, categorization decision, and outlier flag is linked back to the source data, providing complete transparency for actuarial review and regulatory compliance.

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.

Historical loss data contains sensitive claim information. V7 Go processes all data within your secure environment, ensuring confidentiality and compliance with insurance data privacy regulations.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for high-stake industries.

Historical loss data contains sensitive claim information. V7 Go processes all data within your secure environment, ensuring confidentiality and compliance with insurance data privacy regulations.

Certifications

GPDR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

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Enterprise-grade security

Your data stays yours—always. Work with one of the few AI companies that never trains on your data.

  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

  • Fine-grained access controls

  • Inhouse security team

  • Audit logs across every workflow

Enterprise-grade security

Your data stays yours—always. Work with one of the few AI companies that never trains on your data.

  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

  • Fine-grained access controls

  • Inhouse security team

  • Audit logs across every workflow

Enterprise-grade security

Your data stays yours—always. Work with one of the few AI companies that never trains on your data.

  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

  • Fine-grained access controls

  • Inhouse security team

  • Audit logs across every workflow

Precision AI for Institutional Workflows

Build once.

Deploy across the team.

Improve over time.

About

Build once.

Deploy across the team.

Improve over time.

About

Build once.

Deploy across the team.

Improve over time.