Launches Its Proprietary DynamicNLP™

Powered by zero-shot learning,’s DynamicNLP enables zero training of NLP models, go-live within minutes while delivering over 97 per cent intent accuracy., an enterprise-grade Conversational AI platform trusted by 1000+ enterprises globally, announced the launch of its proprietary DynamicNLP, a first in the enterprise Conversational AI space to enable enterprises to go live within minutes with lower operational costs and an intent accuracy of over 97 per cent.

According to the future of conversational AI from Deloitte, training AI agents with manual methods can take six to nine months, making it one of the enterprises’ most common setup challenges. DynamicNLP eliminates the tedious process of training and labelling Natural Language Processing (NLP) models manually. This enables Dynamic AI agents to learn on the fly, helping enterprises to set up Conversational AI flows within minutes and reduce training data-related costs and efforts. DynamicNLP comes with a pre-trained model built using billions of anonymised conversations, which helps reduce unidentified utterances by up to 60 per cent, making the AI agents more human-like and scalable across industries with wider use-cases.

Commenting on the launch, Raghu Ravinutala, co-founder and CEO, said, “ DynamicNLP is a first of its kind proprietary technology in the global enterprise Conversational AI industry; a breakthrough innovation that can help enterprises save time, effort, and operational cost while accelerating their go-live strategy. It enables our pre-trained Dynamic AI agents to deliver superlative moments of truth across the entirety of customers’ and employees’ life cycles. As global tech innovators, we see our DynamicNLP as a significant step forward in realising the true potential of NLP as a game-changing technology.”

Eric Hansen, CIO, Waste Connections, said “ has helped us accelerate our AI automation journey for some of the most important use cases, and with the launch of DynamicNLP, which enables zero training for NLP models, would elevate customer and employee experiences from day one. We firmly believe that DynamicNLP will open new avenues to scale up additional use cases of customer support and agent productivity.”

With DynamicNLP,’s platform can improve the accuracy of seen and unseen intents in utterances right from day one. The elimination of manual labelling also helps remove the propagated errors, leading to a stronger, more robust NLP with better intent coverage for all conversations. With the agility offered by DynamicNLP, enterprises can successfully maximise efficiency and effectiveness across various use cases, including Customer Support, Customer Engagement, Conversational Commerce, HR and ITSM Automation.