Conversational AI Linguistic Assistant

Accurate and comprehensive NLP engine by Just AI

Since 2011, we were working on creating CAILA – our own Natural Language Understanding service, so that now you could use its powerful capabilities to the max

An end-to-end solution integrated with all Just AI products

Machine learning algorithms ease the process of working with datasets and building named entity recognition and intent classification models

Multilanguage support: English, Russian, Chinese, Portuguese, Japanese

CAILA is the backbone of our products

Aimylogic

A simple yet feature-packed builder to create AI-powered solutions

Just AI Conversational Platform

A full-range and secure conversational AI platform for solutions of any complexity. Keep everything under control with key statistics and customized reports

Just AI Conversational Framework

An open-source Kotlin-based conversational framework that is free of charge even for commercial use

Why CAILA

CAILA is built into Just AI products. No need to integrate with a third-party NLU service or search for libraries:

Qualitative text processing: recognition of synonyms, acronyms, and slang expressions

Increased accuracy of intent recognition, faster processing of unlabeled logs and data selection to train AI systems

New NLP models and algorithms powered by machine learning, rule-based approach, semantic and morphological analysis

Provided access to Just AI’s proprietary language technologies and linguistic libraries containing source code

How does CAILA work

Someone is asking a chatbot to make a call

CAILA defines the subject of inquiry and all the characteristics mentioned by the person.

Read documentation

A handy solution for professionals

Computational linguists

NLP engineers

Data scientists

Make the most of CAILA

Intent recognition

ML and deep learning
Semantic Textual Similarity algorithm
Rule-based approach

NLU model debug toolset:

Visualizing clustering result based on semantic distance
Model's confidence level analysis and threshold setting
Word alignment

NLU models enhancement

Automatic spell-checking based on system dictionaries
Custom dictionaries for spell checking and misprints

Dialog labeling

Text preparation (stop words removal, normalization, etc)
Keywords retrieval
Phrase clustering by k-means and other ml algorithms

Slots markup and filling:

Multiple slots in utterance
Slot filling sub-scenarios

Supported languages

English, Russian, Chinese, Portuguese, Japanese
Any other language can be added by request

Third-party NLU algorithms API:

Agent assistant built on client’s logs
Integration with dictionaries from external systems
FAQ knowledge base
Combination of intent recognition models for better performance

Named entity extraction:

Duckling entities
Dictionaries (custom & system)
Rule-based approach (regexp alike)

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