Defining what organisations actually do.

mnAi provides accurate, structured industry classification based on real-world activity - enabling better segmentation, analysis, and decision-making across company populations.

The Challenge

Industry classification is fundamental to how organisations analyse and segment companies.

However, traditional classification systems often fall short:

  • Classifications are self-reported or outdated
  • Companies are assigned to broad or inaccurate categories
  • Businesses with multiple activities are poorly represented
  • Static codes fail to reflect how companies actually operate

This results in:

  • Poor segmentation
  • Misaligned analysis
  • Inaccurate benchmarking
  • Weak reporting outputs

How mnAi Solves This

Activity-based industry classification

mnAi provides activity-based industry classification, built using structured data and real-world signals.

Rather than relying solely on static codes, mnAi:

  • Analyses company activity using multiple data inputs
  • Applies consistent classification logic across datasets
  • Captures primary and secondary business activities
  • Structures outputs into usable, scalable formats

This ensures classification reflects what companies actually do in practice.

What This Includes

Comprehensive classification capabilities

Activity-Based Classification

  • Classification based on real-world operations
  • Identification of primary and secondary activities
  • More granular and accurate categorisation

Structured & Consistent Outputs

  • Standardised classification across all entities
  • Alignment across datasets and use cases
  • Designed for analysis and reporting

Multi-Dimensional Segmentation

  • Classification across multiple attributes
  • Ability to segment by activity, sector, and behaviour
  • Flexibility across different use cases

Alignment with Industry Frameworks

  • Compatibility with established classification systems
  • Enhanced outputs aligned to reporting requirements
  • Structured mapping across frameworks

Why This Matters

Without accurate classification, organisations struggle to:

  • Segment markets effectively
  • Compare companies reliably
  • Benchmark performance
  • Produce meaningful analysis and reporting

mnAi addresses this by:

Providing accurate, activity-based classification

Enabling consistent segmentation across datasets

Supporting more reliable analysis and decision-making

What This Enables

Outcomes that matter

1

Improved Segmentation

Identify and group companies based on real-world activity.

2

Better Benchmarking

Compare companies within accurate peer groups.

3

More Reliable Analysis

Ensure datasets are aligned and meaningful.

4

Enhanced Reporting

Produce outputs based on consistent, accurate classification.

Differentiation

Traditional classification systems are:

StaticBroadOften outdated

mnAi provides:

Dynamic, Activity-Based Classification

Reflecting how companies actually operate.

Granular Segmentation

More detailed and precise categorisation.

Consistency at Scale

Standardised outputs across large populations.

Outcome

Accurate, consistent classification that reflects real-world company activity - enabling better segmentation, analysis, and reporting.

Speak to our team about Industry Classification & Segmentation

Learn how mnAi can support your organisation.

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