Conversational Intelligence Engine
The conversational intelligence engine turns unstructured conversations, like call recordings, emails, chatlogs, and agent notes, into structured data elements. These structured data elements become the building blocks for automation, insights, and improved outcomes.
Vertical specialization is the key to successful AI
Not all AI systems are the same. LLM-heavy “GPT Wrapper” products tend to underperform tailored workflows containing different model types for different purposes. The difference can be huge, with vertical specific, customized systems performing 30% better than base LLMs alone on human evaluation tests.
Accurate
Accuracy is the most important aspect of data structuring. Accurate data leads to relevant, actionable insights. So we focused on accuracy first, and created a process with best in class outputs.
Zanko’s Conversation Intelligence Engine is much more than a GPT-wrapper. It uses a combination of large language models, small language models, and traditional machine learning clustering techniques to achieve an accuracy rate much higher than LLMs, machine learning, and even humans.
Identification
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Easy to Customize
Zanko out of the box is designed to label and structure conversational data for over 200 different classifications across several major use cases. However, no one knows your business like you do, and we want to be able to interpret conversations the way that you know best. The built-in customization tools allow the conversation intelligence engines to both fine tune outputs based on your own rules, as well as to detect custom conversation patterns specific to your business.
The customization process can be done in as little as an hour, using data that you may have already collected.
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Scalable and Secure
The conversational intelligence platform is built on scalable architecture that meets your business needs no matter what size. We can handle 10 conversations per hour or 10 million conversations per hour with no performance degradation.
