Our Solution
Evidence-based classification, built for how businesses actually operate
mnAi creates a real-time, data-driven view of industry classification by analysing what a business does - not what it was historically assigned.
We don't rely on classification - we create it
Rather than relying on static or self-declared codes, mnAi builds classification from the ground up using observable, verifiable data. Each entity is assessed dynamically, with classifications derived from evidence and continuously updated as new information becomes available.
Core capabilities
Multi-Source Data
We aggregate signals from company filings, digital presence, corporate structures, and broader data ecosystems to build a comprehensive view of each business.
Machine-Led Classification
Advanced models interpret these signals to identify core and secondary activities, mapping them accurately to the ANZSIC hierarchy.
Multiple ANZSIC Codes per Entity
Where businesses operate across multiple industries, we assign multiple classifications to reflect real-world complexity rather than forcing a single, simplified view.
Confidence Scores
Every classification is accompanied by a confidence score, enabling users to assess reliability and apply thresholds appropriate to their use case.
Reason Codes
Each classification is supported by structured reason codes, providing transparency into the underlying drivers of the decision.
Continuous Updates
Classifications evolve as new data emerges, ensuring outputs remain current and aligned to actual business activity.
The result is a scalable, explainable and continuously evolving view of industry classification.