Supporting better underwriting and risk understanding.

mnAi provides structured company data that enables insurers to improve classification, assess exposure, and apply consistent data across underwriting and portfolio analysis.

The Challenge

Insurance decisions rely heavily on understanding what companies do and how they operate.

However, in practice, insurers often face:

  • Inaccurate or overly broad industry classification
  • Limited visibility into company activity and structure
  • Inconsistent data across underwriting and portfolio systems
  • Difficulty analysing exposure across large portfolios

This leads to misclassification of risk, inconsistent underwriting decisions, and reduced confidence in portfolio exposure.

Even small inaccuracies in classification or company understanding can have a disproportionate impact on pricing, underwriting decisions, and exposure management. At scale, this creates challenges in maintaining consistency across portfolios and identifying concentrations of risk.

Insurers require a structured, activity-based view of companies that reflects real-world operations and can be applied consistently across underwriting and portfolio analysis.

How mnAi Supports Insurers

A structured, activity-based view of companies

mnAi provides a structured, activity-based view of companies, enabling insurers to apply consistent data across underwriting, exposure analysis, and portfolio management.

By combining firmographic, classification, and relationship data, mnAi enables:

  • More accurate understanding of company activity
  • Consistent application of classification across portfolios
  • Improved visibility into ownership and relationships
  • Scalable analysis across large datasets

Built to reflect real-world company activity:

Not just static classifications - structured data that reflects what companies actually do.

Where mnAi is Applied

Applications across underwriting and portfolio management

Underwriting & Risk Assessment

Improve the accuracy and consistency of underwriting decisions.

  • Structured firmographic and activity-based data
  • Consistent attributes across companies
  • Better visibility into operational characteristics

Supports more informed and consistent underwriting

Industry Classification

Define risk based on what companies actually do.

  • Activity-based classification
  • More granular and accurate categorisation
  • Consistent outputs across portfolios

Reduces misclassification and improves risk alignment

Exposure Analysis

Understand risk across portfolios and sectors.

  • Analyse exposure across industries and geographies
  • Identify concentrations and trends
  • Segment portfolios using structured variables

Enables better portfolio oversight and management

Entity & Relationship Intelligence

Understand connections that impact risk.

  • Identify ownership structures and group relationships
  • Map connections between companies and individuals
  • Provide context for exposure and dependency

Supports a more complete view of risk

Core Capabilities in Practice

Insurers typically leverage mnAi across:

Industry Classification & Segmentation

Company & Firmographic Intelligence

Entity & Relationship Intelligence

Data Creation & Enhancement

Why mnAi

Insurers choose mnAi because it provides:

01

Accuracy

Classification based on real-world activity. Structured, reliable company data.

02

Consistency

Standardised outputs across underwriting and portfolio systems. Alignment across teams and workflows.

03

Scale

Billions of data points across company populations. 450+ structured variables per company.

04

Structure

Data designed for analysis and integration. Consistent definitions across datasets.

Traditional classification systems are often static and broad, while AI-based approaches can be inconsistent and difficult to standardise.

mnAi provides:

Structured, activity-based classification and firmographic data that can be applied consistently across underwriting and portfolio analysis.

Outcome

A more accurate, consistent, and scalable approach to underwriting and exposure analysis - supporting better risk understanding and decision-making.

Speak to our team about insurance applications

Learn how mnAi can support your organisation.