OSOS, Leading AI in Arabic

OSOS is a cutting-edge Gen-AI built with careful consideration of the intricate complexities of the Arabic language.

Why OSOS?

features

OSOS in Action

What It Is

An engine used to lookup for answers from documents and text in real-time.

How It Works

The question-answering engine navigates through the data and converts unstructured information to meaningful structured information by extracting and retrieving the answers to the queries utilizing machine learning NLP techniques.

What It Is

A world-class NLU Engine to extract accurate entities from Arabic texts.

How It Works

Our Arabic NER engine uses advanced machine learning techniques to extract entities across a wide variety of textual documents and classifies them into more than 20+ predetermined categories (Names, Events, Organizations, and many more).

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What It Is

Discover in-depth insights and emotions from arabic texts.

How It Works

The sentiment analysis engine understands the intent and contextual meaning of the texts and generates accurate sentiment results.

What It Is

An engine that summarizes textual documents and highlights key information.

How It Works

Leveraging advanced machine learning NLP techniques, the summarization engine generates summaries of the key information central to the textual Arabic documents by analyzing the texts and extracting word-to-word sentences that are scored in their order of importance.

What It Is

An Engine that Categorizes textual data into different classes based on a range of topics.

How It Works

Using advanced machine learning techniques, our Classification engine maps textual information to different categories. It accomplishes this via a trained NLU model with pre-classified examples of text belonging to various classes.

What It Is

An engine that matches various ways in writing or pronouncing names in Latin or Arabic for matching and checking.

How It Works

Engine converts text whether it is latin or Arabic and considers phonetics, character positions and machine learning techniques to map and score matching of names.