Using Artificial Intelligence to Make Conversations More Human

Yekaliva's intelligent chatbot uses groundbreaking AI to reimagine how a chatbot works. Rather than responding to predefined strings with generic answers, Yekaliva uses AI and machine learning to naturally respond to every question your customers have.

Machine Learning

The Streaming Machine learning model, with classic NLP and statistical functions, classifies and segments intents. This gives a structure to score keywords and searches.

Bidirectional Neural Model

The Bidirectional Neural model converts words into vectors and simplifies it into a matrix graph. The neural classifier matches queries with intents in the database.

Graph Neural Model

The Graph Neural Model combines vector and enriched data relationships in a matrix. This keeps the accuracy of answers high.

Entity Label Graph

Our Entity Label Graph is an entity that identifies distinct words in a sentence. With answer deviation, the graph maps these words and filters metaphors in questions.

Logical graph

The Logical Graph represents NLP data flow through a series of computations in terms of relational and logical dependencies between individual hyponyms and hypernyms.

Active Knowledge graph

The Core Knowledge Graph is built with intent databases and external data. This helps data enrichment and collecting data behind keywords. This helps give accurate answers.

Get your bot today, pay later.

Try out Yekaliva free for 7 days, keep your credit card in your wallet

Already a customer? Log in