We are moving away from LLM-based industry classification in favor of a fast, deterministic prototype-per-label embedding approach. This new architecture, detailed in updated documentation, ensures better consistency and lower latency by utilizing offline vector similarity while maintaining integration with existing rules and pipelines. The system is designed to provide high-recall classification while keeping resource usage low for local deployments.