Sign Up

Enter your email address to register and stay updated on exciting offers.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Advanced NLU

ChatClay has an out of the box NLU
framework built into the platform that can
further be connected to LLMs or rely on our
own existing NLU engine to make sense of
user queries in multiple languages.

Natural Language Understanding
(NLU) plays a crucial role in enabling
chatbots to comprehend and respond
to human language effectively.

Advanced NLU goes beyond basic keyword matching to understand the nuances of human language, enabling chatbots to provide more accurate and meaningful responses.

ChatClay uses NLU and context sensitivity to create a system with a low failure rate and false positives. Some of the key capabilities of advanced NLU and its impact on enhancing the conversational experiences offered by chatbots built by ChatClay are discussed in detail below:

Entity Recognition
ChatClay’s advanced NLU enables chatbots to identify and extract specific entities mentioned in the user's input, such as dates, locations, and product names. This allows chatbots to offer more precise responses and take relevant actions. For instance, a chatbot in a travel app can recognize a destination mentioned by the user and provide information about flights and accommodations.
Intent Classification
ChatClay’s advanced NLU systems use machine learning algorithms to classify user intents accurately. By analyzing the structure and context of user inputs, chatbots can determine the user's underlying intent and respond accordingly. This enables chatbots to handle a wide range of queries and provide more meaningful interactions.
Multi-Language Support
ChatClay’s advanced NLU systems can support multiple languages, allowing chatbots to engage with users from diverse linguistic backgrounds. This capability is particularly valuable for businesses operating in global markets, enabling them to provide customer support and information in multiple languages.
Continuous Learning
ChatClay’s advanced NLU systems can continuously learn from user interactions to improve their understanding and accuracy over time. By analyzing user feedback and updating their models, chatbots can adapt to evolving language patterns and user preferences.

As ChatClay’s  NLU technology continues to evolve
we can expect chatbots to become even more adept at understanding and interacting with users, opening up new possibilities for customer engagement and business growth. Bridging the gap in human-application interaction and building a future where communicating with technology is as easy as chatting with a friend.

Chatting with a business or service can be as easy as chatting with a friend. Familiar & contextual.

Chatbot case studies across domains.

Button Text
Product
Solutions
Industries
Resources
Company
Product
Advanced NLUNo Code Chatbot BuilderChatbot AnalyticsIntegrationsHuman EscalationConversational A.I Micro ApsOmnichannelMulti Lingual CapabilitiesEnterprise Grade Security
Solutions
Custom Chatbots For BusinessConversational MarketingConversational Support ChatbotsConversation Design FrameworkA.I. Powered Customer ExperienceConversational AI Workflows
Industries
Customer Engagement ChatbotsLead Generation ChatbotsTravel & Hospitality ChatbotsHealthcare ChatbotAdvertising ChatbotsReal Estate ChatbotsEducation ChatbotMedia ChatbotsRetail Chatbots
Resources
Gen AI trackerLLM ModelsCase StudiesWhitepapersDemosChatbot Builder GuidesChatbot Marketing - Best PracticesROI CalculatorA.I. For Good
Company
About UsCareers ChatClay In The NewsCustomer Stories
© 2024 ChatClay. All rights reserved.
Terms of Service
Privacy Policy
Manage Cookies