Solutions

Use Cases

Why Mozn

Use Cases

We combine deep technical expertise with keen business acumen to help some of the region’s largest organizations solve their most pressing challenges. Through advanced analytics, machine learning and other autonomous algorithms, we help your organization to change the way it works and evolve to make the most of your data.

Advisory Support

In the modern business landscape, many large public and private organizations aim to leverage the power of AI and Data Analytics to improve operations, but most are unsure where to begin. As a result, Mozn has developed a clear methodology for organizations to adapt, incorporating data and AI technologies that maximize value realization and have a tangible impact on your organization. Our proprietary AI transformation approach involves understanding your business objectives, evaluating your data’s potential, assessing the quality of your existing data sources, and utilizing your data by identifying areas of impact to provide you with a clear roadmap on how you can transform into a data-driven organization.

Value Proposition

Integration Of Business Strategy & AI

Integrating business goals with AI goals and helping you to determine the AI strategy for your entire organization.

Pursuit Of Value

Focusing on real-world use cases that deliver tangible value for your organization.

Customizing Products & Technologies

Customizing products and technologies to suit the unique needs of your business, instead of delivering ready-made solutions or treating AI as an add-on extension to your existing technologies.

Choosing The Right Partners

Partners with experience in AI & business connectivity, and complete understanding of system and market requirements.

Investing In Organizational Change

Establishing solid governance for AI applications and making data-driven decisions.

Technology

At Mozn, we help organizations harness the power of AI in Risk and Arabic Natural Language Understanding (NLU) with our cutting-edge R & D that leverages innovative thinking to power products that deliver real results.

  • Mozn translates these principles into a clear methodology to include data technologies and artificial intelligence to create value and have a direct impact on your organization.
  • Our Artificial Intelligence playbook guides business and technology teams to work hand in hand to achieve the maximum value from your digital transformation activities.

Language Intelligence Solutions

At Mozn, we assist you in your pursuit towards becoming a data-driven enterprise by designing language intelligence solutions that enable your computers to understand human language contained in unstructured data and deliver critical insights for your business. We have exhaustively explored ways to use the complex linguistic structures of the Arabic language for developing innovative, domain-specific models that suit your business needs.

Value Proposition

Arabic First

Designing, testing, and optimizing our NLU algorithms with careful consideration of the complexities of the Arabic language.

Proprietary Hybrid Models

Establishing proprietary hybrid models that incorporate both statistical and linguistic approaches to deliver the highest degree of successful impact for your organization.

Customizing Solutions & Technologies

Customizing products and technologies to suit the unique needs of your business, instead of delivering ready-made solutions or treating AI as an add-on extension to your existing technologies.

Technology

Natural Language Understanding

At Mozn, we deliver proprietary Arabic NLU by analyzing the unique linguistic structures of the Arabic language, in turn providing state-of-the-art performance. Our NLU capabilities are able to rapidly perform multiple functions on Arabic text to improve its accuracy.

  • We have developed a generic Arabic language model and domain-specific models to best suit your needs.
  • We have created ways to use the linguistic structures (syntactic and semantic) of the Arabic language to derive concept-level contextual embeddings, providing state-of-the-art performance in word-sense disambiguation.
  • We have explored hybrid modeling approaches to improve downstream language understanding tasks, such as search query answering.

Cognitive Search

In the age where finding the right information at the right time is critical to gaining important business insights and making effective decisions, many organizations are still struggling with search today. At Mozn, we pursue novel avenues (specifically in Arabic NLU) by building cognitive search solutions for enterprises that are task-oriented, domain-specific, and follow an Arabic-first NLU approach.

Value Proposition

Arabic First

Designing, testing, and optimizing our NLU algorithms with careful consideration of the complexities of the Arabic language.

Customizing Solutions & Technologies

Customizing products and technologies to suit the unique needs of your business, instead of delivering ready-made solutions or treating AI as an add-on extension to your existing technologies.

Developer Friendly

Integrating our AI solutions with your existing workflow without the hassle of complicated incorporation to your existing infrastructure.

Technology

Natural Language Understanding

At Mozn, we don't build NLU models that simply generate search results with keyword matching. We go above and beyond to design NLU capabilities that yield accurate search results by understanding the intent and contextual meaning of the specific search.

  • We leverage AI-powered phonetics similarities for estimating how close a group of words are in terms of pronunciation.
  • We experiment with semantic similarities in our NLU models for estimating how close a group of words are in terms of meaning.
  • We redefine information extraction to enable search in unstructured documents through various features, such as detecting and classifying semantic relationship mentions, named entities, and key themes.

Document Intelligence

Many organizations regularly deal with mountains of documents, including everything from status reports to policies and agreements. At Mozn, we understand that processing these documents can be costly, time-consuming, and prone to human errors and inconsistencies. That’s why we design and deliver sophisticated document intelligence solutions so that you can focus on tasks that matter to make better decisions and improve your business performance without administrative hassles.

Value Proposition

AI-First Approach

Focusing on understanding and using innovative processing techniques as a building block to cater to your specific business document requirements.

Enable Accuracy

Reducing your document processing time while achieving high processing accuracy levels for your business needs.

Developer Friendly

Integrating our AI solutions with your existing workflow without the hassle of complicated incorporation into your existing infrastructure.

Technology

Natural Language Understanding

At Mozn, we explore AI solutions that convert unstructured information in documents into organized, usable information. Our NLU capabilities are able to perform multiple functions on Arabic text to improve its accuracy.

  • We leverage the power of NLU to distill the most important information contained in a large text, saving the business both the time and the effort required to obtain and understand any document. This process can be extractive or abstractive.
  • We experiment with OCR AI models based on advanced segmentation and feature extraction processing.
  • We redefine information extraction to enable search in unstructured documents based on various features, such as detecting and classifying semantic relationship mentions, named entities, and key themes.
  • (Example/ design of documents being scanned with summarized NER content).

Fraud & Anomaly Detection

In most organizations, fraud is often detected after it has occurred and the damage has been done. Ideally, preventative measures should be taken before it has occurred. Our industry-leading fraud and anomaly Detection capabilities allow organizations to detect fraud before it happens. Using our methodology, you’ll be able to detect fraud in a variety of sectors, including banking, insurance, government, healthcare, and more.

Value Proposition

Prioritizing Your Needs

Detecting different types of fraud based on your organization’s needs using accurate machine learning.

Real-Time Prevention

Preventing fraudulent cases before they happen, using fraud prevention measures in real-time.

Red Flags For Fraud

Enabling your organization to flag fraudulent cases in any type of scenario by analyzing fraud patterns using predictive AI models.

Technology

Natural Language Understanding

At Mozn, we build sophisticated end-to-end fraud detection solutions that incorporate unsupervised machine learning techniques, allowing you to detect anomalies and identify fraud without human resources. Our AI solutions identify patterns across a wide range of documents and flag data points that do not follow normal patterns, improving accuracy in predicting fraud.

  • We develop our NLU models to retrieve the most relevant information from databases, knowledge bases, and raw text.
  • We design our NLU models to understand the content of the data to ensure high accuracy predictions in fraud detection.
  • We train our NLU models with pre-classified examples of text belonging to different classes.
  • We explore avenues to incorporate Arabic NLU with Risk Management in real-world situations.

Watchlist Screening

What if screening customers was no longer a complicated process for your organization? Our sophisticated watchlist screening solutions incorporate name-matching algorithms that are specifically designed for Arabic and Latin. Cutting-edge technology enables you to recognize name variations, human errors, and edge cases. With access to 1000+ real-time global and local sanctions and PEP lists, you can easily watch out for bad actors and protect your business with peace of mind.

Value Proposition

Access To 1000+ Sanctions & PEP Lists

Enabling your organization to screen and monitor customers on a global scale with access to 1000+ real-time global sanctions and PEP lists, such as OFAC, UN, and other leading sources.

Superior Fuzzy Matching

Leveraging phonetics similarity that is powered by AI to increase your matching accuracy and detect different transliterations of Arabic words in real-time.

Technology

Natural Language Understanding

At Mozn, we constantly pursue innovative ideas. We use phonetics similarity, powered by complex deep learning methodologies, to detect different transliterations of Arabic words. Our NLU platform is able to perform multiple functions on Arabic text to improve accuracy in the screening process.

  • We design NLU models proficient in matching names that are not identical in terms of spelling.
  • We redefine transliteration in NLU platforms by mapping from one system of writing to another based on phonetics.
  • We leverage AI-powered phonetics similarities for estimating how close a group of words are in terms of pronunciation.
  • We explore avenues to incorporate Arabic NLU with Risk Management in real-world situations.

Credit scoring

You no longer have to second guess your loan-making decisions. Our unique AI-powered credit scoring solutions are designed so that you can enjoy a new reality where low-risk credit scoring decisions are made in milliseconds. With highly accurate predictions and customizable risk models, you can automate your credit scoring standards and monitor credit score changes to match your risk appetite while staying away from bad borrowers.

Value Proposition

Enable Accuracy

Focusing on reducing your expenditures on credit scoring activities while achieving high accuracy levels in predictions and risk management.

Dynamic Risk Scoring

Leveraging customer data and profile to run risk assessment ratings to determine the customer’s credit score based on your risk assessment rules and risk tolerance.

Technology

Risk Management

At Mozn, we answer questions such as “Why did failures occur?” and “How can we make sure failures don’t occur in the future?” on a daily basis. We move beyond the limitations of conventional non-statistical and statistical methods to Bayesian and causal modeling approaches to risk assessment and decision analysis.

  • We have developed a Bayesian risk assessment and decision analysis engine based on Probabilistic Graphical Models.
  • We have built a causal risk assessment engine based on econometric approaches (Regression, Instrumental Variables, etc.).
  • We have experimented with a risk assessment engine based on advanced machine learning methods.