A New Generation of LLM Powered NLP You Can Trust

Trusted by Top Brands of the World

90% of all data has been created in the last two years, and an estimated 80-90% of this data is unstructured. However this data suffers from deep data quality issues that, without the type of enhanced enrichment and improved accuracy provided by Conversus, make it unsuitable for most AI and market research purposes.

Data quality remains a top complaint by social media analytics practitioners. Research shows that the average sentiment accuracy of standard “foundational” models is only about 65%. Yet many LLM models use this data for training or summarization, leading to hallucinations, bias, erroneous insights and ultimately poor business decisions. In the AI era, the adage, “garbage in, garbage out,” is more true than ever.

Conversus Cleans the Garbage Out and Makes This Data AI and Market Research Ready

Conversus, our award-winning SaaS model governance and management platform enables you to take control and elevate your data quality. Access dozens of highly-accurate prebuilt models. Fine-tune our foundational models. Govern and manage LLM-powered models through a unique “system of accuracy” and model performance observability. Generate trust and adoption of this research-grade data.

Conversus NLP models have been demonstrated to reduce error rates by an approximate 60-70% versus standard “foundational” models, leading to better insights, less risk, and lower operational costs associated with data corrections and errors.

Conversus provides users with access to a deep and growing library of prebuilt models that are immediately available, aligned to key insights use cases (customer experience, brand tracking, reputation measurement, and more), and integrated seamlessly with many leading listening platforms, thereby solving data quality challenges for downstream insights and generative AI use cases.

“AI System of Accuracy”

No other industry solution provides this level of accuracy and data quality transparency at this level of automation, with so little human intervention.

Clear & effective AI usagem full transparency, superior accuraacy, risk mitigation and human-in-the-loop governance.

Operational Efficiency and Cost Savings

Our Enterprise Query Management System, powered by our proprietary query language, ConvQL, goes far beyond industry-standard Boolean capabilities:

Efficiently build, edit and manage large, complex query libraries and measurement frameworks using our variable reference structure which nests queries within queries.
Level up the precision and comprehensiveness of your searches with unique Boolean operators found nowhere else in the industry.
Seamlessly combine Boolean, rules and AI in a single NLP pipeline for superior data filtering and noise reduction.
Become truly platform agnostic: apply your queries and measurement frameworks consistently across any data source for a single source of truth.

Superior Data and Sharper, Faster Insights

Data quality doubt and endless manual QA should be a thing of the past. Our state-of-the-art, multilingual LLM-powered models are setting new standards for data quality, with out-of-box accuracy consistently around 90% and the ability to fine-tune by brand or domain for further enhancement.

Choose from a library of prebuilt models ranging from sentiment to voice segmentation, consumer attitude analysis, brand safety alerting, ESG measurement, Trust scoring, and more. Our prebuilt models are available “off the shelf” for immediate use, and custom models can be rapidly built and deployed to support your specific use cases.

AI-Powered Data Quality You Can Trust

Our accuracy numbers cited above are impressive, but we know it’s not enough to just claim the accuracy of your AI–you need to prove it. Conversus NLP’s Trusted AI System is the only solution to provide ongoing performance testing of your AI-powered classifications against your own data, at any point in time. No other industry solution provides this level of accuracy, AI governance, and performance transparency at this level of automation, with so little human intervention.

The result is AI and data quality you can trust, which in turn drives brand intelligence you can act on. Key features of the Trusted AI System include drift detection, regression testing, patent-pending confidence assessment algorithms, and human-in-the-loop oversight, all of which help ensure your AI models’ alignment with new and future AI governance standards (such as the EU AI Act).

A case in point

Operational Efficiency and Cost Savings

Global Energy Company

Measure & Predict Reputation and Quantify Value of Reputation Measures to Shareholder Value

Challenge

Global energy company, one of the largest in the world, needed to measure and track its reputation in near real time across more than 3 dozen attributes including “trust.” It had been using a survey-based reputation tracker but they found that solution was too slow to keep up with speed of developments, lacked actionability, and contained metrics that could not be aligned to business goals (such as shareholder value and sponsorship accountability).

Solution

The company turned to Conversus PRISM^TM and leveraged its 100+ prebuilt industry models, attributes and sub-attributes, to track reputation and “trust” across more than 8 languages. PRISM^TM was able to identify (and prioritize) which perceptions and topics were most important and predictive to their business goals, and which were not.

– Global Energy Company

Operational Efficiency and Cost Savings

Let’s connect on a strategy session to discover how we can help you improve your data.