Converseon´s Conversus NLP Sets New Benchmark for LLM-Powered Data Quality

Converseon´s Conversus NLP platform elevates large language model-powered natural language processing with advanced model governance, delivering market research-grade data quality for Artificial Intelligence and analytics.

Converseon’s Conversus NLP platform offers a new generation of natural language processing powered by large language models, designed to overcome persistent issues of data quality in unstructured data. With industry stats revealing that 90% of data was created in the past two years and that up to 90% is unstructured, the platform targets the prevalent inaccuracy in legacy sentiment models, whose typical accuracy lags at just 65%. This data quality gap undermines the reliability of both analytics and downstream Artificial Intelligence applications, often resulting in misleading insights and poor business decisions. Conversus addresses this with its ‘system of accuracy’, rigorous model observability, and governance mechanisms that support the creation of research-grade, trustworthy datasets.

The platform features dozens of prebuilt and customizable models, immediately aligned to key business use cases including customer experience analysis, brand tracking, and reputation measurement. Users can fine-tune foundational models for their specific brands or domains, reducing error rates by approximately 60-70% versus standard foundational models. This leads to better insights, reduced operational risks, and lowered costs from data correction. Conversus is designed to seamlessly integrate with leading listening platforms and supports multilingual analysis. Its Enterprise Query Management System, powered by proprietary ConvQL technology, further enhances the precision and relevancy of data through advanced Boolean and rules-AI hybrid pipelines, enabling efficient management of complex queries and consistent measurement across data sources.

Conversus’s Trusted Artificial Intelligence System distinguishes itself with continuous performance testing, drift detection, regression, and confidence assessment, as well as human-in-the-loop oversight. This suite ensures compliance with emerging governance standards like the EU Artificial Intelligence Act and delivers unprecedented transparency into model accuracy. Case studies, such as that of a global energy company replacing slow survey-based tracking with Conversus PRISM, illustrate the platform’s ability to enable real-time, actionable, and business-aligned reputation insights. Altogether, Conversus NLP offers a compelling solution for enterprises seeking reliable, scalable, and highly accurate data enrichment, model management, and operational efficiency in an Artificial Intelligence-driven era.

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