Custom AI Solutions Development Company
Custom AI Solutions in Saudi Arabia for Enterprises
Leverage the latest advancement in tech, powered by artificial intelligence. Ideate, innovate, and automate with intelligent AI solutions in Saudi Arabia for better business impact.
Elevating Enterprise-level Innovation Custom AI Solutions in Saudi Arabia
Unlock unparalleled advancements in your enterprise with built-from-scratch, custom AI solutions for the Saudi Arabian market. Veraqor’s expertise in AI development delivers transformative results, enhancing efficiency, driving innovation, and positioning your business at the forefront of technological evolution. As a leading AI development company in Saudi Arabia, we aim to increase ROI and provide business value through our services.
Knowledge Mining
Leverage vast data repositories to extract actionable insights, driving informed decision-making and fostering innovation.
Speech Transcription & Conversational AI
Convert spoken language into text and enable engaging, natural interactions to enhance user experiences.
AI Business Process Automation
Optimize your business processes and boost efficiency by automating repetitive tasks and workflows.
Computer Vision
Equip your systems to interpret and analyze visual data, with applications spanning surveillance, healthcare, and beyond.
Machine Learning
Allow your systems to learn from data, adapt, and improve performance autonomously, without the need for explicit programming.
AI Chatbot Development
Enhance customer interactions with bespoke AI chatbots tailored to your specific business requirements.
AI Software Development
Improve operational efficiency with our cutting-edge AI software solutions, customized to fit your enterprise's needs.
Custom Generative AI Solutions
Drive innovation with bespoke Generative AI development in Saudi Arabia, designed to address your unique business challenges and objectives.
Pre-Built AI Solutions for KSA
- On-Shelf Availability
- Fine-Grained Demand Forecasting
- Computer Vision Foundations
- Cyber Analytics
- Digital Twins
- ESG Performance Analytics
- Grid-Edge Analytics
- Managing Recalls with Barcode
- Traceability
- Overall Equipment Effectiveness
- Predictive Maintenance (IoT)
- Safety Stock
- Scalable Route Generation
- Supply Chain Distribution Optimization
- Survival Analysis & Lifetime value
- Anti-Money Laundering
- Compliance: AML & KYC
- Credit Card Transaction Analysis
- Customer Entity Resolution
- Customer Lifetime Value
- Cyber Analytics
- ESG Performance Analytics
- Geospatial Analytics to Identify Fraud
- Incident Investigation Using Graphistry
- IOC Matching & Multicloud query federation
- Merchant Classification
- Model Risk Management
- Modern Investment Platform
- NLP for Customer Service Analytics
- Automated PHI Removal
- Abstracting Real-World Data for Oncology
- Biomedical Literature Q&A with LLMs
- Detecting Adverse Drug Events
- Digital Pathology Image Analysis
- Digital Twins
- Disease Profiling with TCGA
- ESG Performance Analytics
- FHIR Interoperability with dB ignite
- Genome-Wide Association Studies
- Medicare Risk Adjustment
- Price Transparency
- R&D Optimization with Knowledge Graphs
- On-Shelf Availability
- LLMs for Knowledge Base Q&A Agent
- Fine-Grained Demand Forecasting
- Computer Vision Foundations
- Customer Lifetime Value
- Customer Segmentation
- Cyber Analytics
- Fuzzy Item Matching
- Large Language Models for Retail
- Multi-Touch Attribution
- Safety Stock
- Sales Forecasting & Ad Attribution
- Scalable Route Generation
- Subscriber Churn Prediction
- Toxicity Detection in Gaming
- LLMs for Knowledge Base Q&A Agents
- Fine-Grained Demand Forecasting
- Better LLMs with Better Data using Cleanlab Studio
- Customer Entity Resolution
- Cyber Analytics
- ESG Performance Analytics
- Media Mix Modeling (MMM)
- Multi-Touch Attribution
- Real-Time Bidding Optimization
- Responsible Gaming
- Sales Forecasting & Ad Attribution
- Survival Analysis & Lifetime value
- Video Quality of Experience
- LLMs for Knowledge Base Q&A Agent
- Automated Record Linking
- Cyber Analytics
- Entity Resolution for Public Sector
- ESG Performance Analytics
- PHIR Interoperability with dB Ignite
- HL7v2 Interoperability with Smolder
- Medicare Risk Adjustment
- Product Quality Inspection
- Scalable Route Generation
- Social Determinants of Health
- Supply Chain Optimization
- Survival Analysis & Lifetime Value
- Threat Detection with DNS
- LLMs for Knowledge Base Q&A Agents
- Fine-Grained Demand Forecasting
- Customer Entity Resolution
- Cyber Analytics
- Telco Customer Churn Prediction
- Telco Network Analytics
- Threat Detection with DNS
Custom AI Solutions in Saudi Arabia Generating Real Business Value
Harnessing the capabilities of Generative AI opens new avenues for marketers, enabling them to rapidly generate compelling content. This transformative technology streamlines content creation processes, ensuring that marketers can efficiently produce engaging material that aligns seamlessly with brand identity.
Generative AI introduces a paradigm shift in analysis by providing advanced data analysis and summarization features. This results in improved decision-making processes, as complex information is distilled into clear and concise insights, facilitating a more efficient understanding of key data points.
Tech leaders benefit from the power of Generative AI in automating code generation and documentation processes. This technology accelerates development cycles, ensuring the swift creation of proprietary code and comprehensive documentation tailored to the unique needs of technology-driven initiatives.
Generative AI brings a game-changing approach to data analysis in e-commerce. By incorporating advanced data analysis and summarization capabilities, this technology enhances decision-making processes for online retailers, and complex data sets are distilled into clear insights.
Generative AI’s automation capabilities transform code generation and documentation processes, benefiting tech leaders in online retail. This powerful technology accelerates development cycles, ensuring the rapid creation of proprietary code and comprehensive documentation.
Leveraging AI and ML algorithms can help healthcare providers make sense of this vast amount of data, providing insights into patient outcomes, identifying patterns and trends, informing diagnosis and treatment recommendations, and managing the data better. These technologies can analyze large datasets of patient records, medical images, and genomic data to make these predictions and recommendations.
Developing new drugs or vaccines is time-consuming and costly for pharmaceutical and biotech companies. The use of AI technology can help expedite the drug discovery and development process. AI-powered algorithms can identify potential drug targets, predict drug efficacy and safety, and optimize clinical trial design, leading to faster drug development timelines and better patient outcomes.
Through the cloud’s real-time processing, organizations can monitor any external environmental factors, such as air and water quality, enabling them to be aware of any potentially harmful impacts. This also helps companies ensure their workforce’s safety, avoiding any hazardous operations that may result in a catastrophe.
Frequently Asked Questions
What advantages can my business gain in KSA by integrating artificial intelligence?
How do you ensure AI projects stay secure and reliable during development?
How does outsourcing to AI companies work, especially for custom AI solutions?
What's the difference between AI and machine learning models?
What do artificial intelligence companies do?
Why is an AI solution built?
What are the most common roles in an AI team?
What industries can benefit from AI development services?
How long does it take to develop an AI solution?
How do you ensure the quality and accuracy of AI models?
Can custom AI solutions work with the systems and processes we already have?
See How Organizations are Innovating with AI Solutions
Situation
Solution
Howden implemented Cognitive search technology to address this challenge to optimize their bidding process. This technology enabled them to scour through large volumes of data efficiently and extract relevant information from their engineering documents. Using AI algorithms, Howden could automatically identify key information from these documents and use it to create accurate customer proposals.
Impact​
By implementing this solution, Howden was able to significantly speed up their proposal generation process, which improved their overall productivity and reduced the likelihood of errors. The technology allowed them to access the relevant information they needed quickly and efficiently, enabling them to generate proposals faster and more accurately. This, in turn, helped Howden to serve its customers better and win more business.
Situation
E-commerce customers often struggle to find personalized fashion recommendations online, leading to a less-than-ideal shopping experience. This can result in lost sales and a decline in customer satisfaction.
Solution
To address this challenge, we proposed a solution to modernize the e-commerce customer shopping experience by introducing an AI-powered shopping assistant chatbot. This chatbot uses advanced algorithms to analyze customer preferences and provides real-time personalized fashion recommendations, creating a more engaging and interactive shopping experience for online customers.
Impact​
Through this solution, the e-commerce company boosted online sales by proactively catering to changing customer tastes and identifying trends through the data gathered by the chatbot. Moreover, customers benefited from an improved shopping experience, increasing satisfaction and loyalty. The AI-powered shopping assistant chatbot helped modernize the e-commerce customer shopping experience and created a more personalized and engaging environment for online shoppers.
Situation
Claims management transactions in the National Health Service (NHS) can be time-consuming and inefficient, involving a lot of manual data entry and processing of paper documents. This can lead to delays in processing claims, impacting patient safety and resulting in higher costs for taxpayers.
Solution
To address this challenge, we proposed a solution to modernize claims management transactions by digitizing documents and using AI and machine learning to extract data from those forms. This data can then be used to drive better decision-making for the NHS, improving the efficiency and accuracy of the claims management process.
Impact​
By implementing this solution, the NHS delivered better taxpayer value by reducing the costs associated with claims management and improving the accuracy of claims processing. This also led to better patient outcomes, as claims were processed more quickly and accurately, reducing potential errors or delays that could impact patient safety. The digitization and data-driven claims management approach helped the NHS operate more efficiently and improve performance and efficacy.
Situation
PwC, a leading player in professional services, faced the challenge of advancing its audit approach into the Next Generation Audit (NGA), blending human expertise with cutting-edge technology and data-driven insights. The aim was to enhance audit efficiency and transparency and reduce unnecessary burdens on clients while ensuring compliance with data regulations and maintaining robust security.
Solution
Impact​
Situation
Enerjisa Ãœretim, a major player in the energy sector, faced the critical challenge of enhancing operational efficiency in an industry where even marginal gains matter significantly. The company embarked on reshaping the energy landscape through a robust digital transformation initiative. Transitioning to a cloud-native ecosystem powered by Microsoft Azure marked the initial step in this transformative journey.
Solution
The solution materialized in the form of a state-of-the-art Remote Operation Centre overseeing the real-time activities of 20 hydropower, wind, and solar plants around the clock. This center leverages advanced AI analytics, providing Enerjisa Ãœretim with the capability to monitor performance in real-time, forecast production levels, and predict maintenance requirements.Â
Impact​
Situation
PageGroup, dedicated to finding top talent for business growth, faced a challenge in streamlining the administrative-intensive tasks of consultants to maximize efficiency. With a global workforce and diverse operations, the need arose for a centralized platform to enhance innovation and leverage cloud-based technologies, including generative AI, to elevate their service delivery.
Solution
To address these challenges, PageGroup implemented a global enterprise data platform on Microsoft Azure. This solution not only streamlined administrative processes but also laid the foundation for continuous innovation. Leveraging Azure and embracing technologies like OpenAI and Generative AI’s capabilities, PageGroup created a versatile platform that promotes further advancements and ensures the efficient use of cloud-based tools, enhancing their ability to deliver top-notch talent solutions to clients.
Impact​
The implementation of the global enterprise data platform on Microsoft Azure empowered PageGroup to achieve operational efficiency and scalability. With a streamlined workflow, consultants can now focus on high-value tasks, significantly impacting business growth. The incorporation of cloud-based technologies, including generative AI, is already demonstrating tangible business benefits. PageGroup is now well-positioned to navigate the dynamic landscape of talent acquisition, ensuring they continue to deliver exceptional services to clients globally.