Our work - Proven solutions for real-world problems.

A comprehensive asset management overhaul was conducted for a global manufacturing company, addressing inaccuracies in their asset register, improving tracking, and ensuring compliance with accounting standards.

Our team implemented a robust asset verification and tagging system, updated the asset register, and reconciled discrepancies, resulting in improved operational efficiency and compliance.

The call center faced challenges in assessing customer emotions during interactions. Our solution involved the development of an Emotion Analyzer tool, enabling representatives to better understand and respond to customer sentiments.

The integration of machine learning and natural language processing provided sophisticated sentiment analysis, which improved communication strategies and customer service quality.

We developed a Virtual Try On system for a prominent fashion retailer to address customer uncertainty in online apparel shopping, using advanced computer vision and deep learning models.

Our solution included collecting a vast dataset of clothing items, training a model for high-quality image generation, implementing an in-painting method for realistic garment fitting, and designing an intuitive user interface.

This project focused on simplifying access to medical research information by developing a state-of-the-art platform for efficient information retrieval and knowledge extraction from extensive medical research PDFs.

The platform features an intuitive PDF upload and text selection interface, automated summarization, and a vector database with semantic matching technology, significantly improving research efficiency and accuracy.

We applied advanced data analytics to refine the sales and marketing tactics of a prominent retail enterprise, leading to a granular understanding of their customer base, improved inventory management, and increased sales.

Our strategic use of K-means and Vector clustering models and time series forecasting models resulted in enhanced customer segmentation, accurate sales forecasting, and ultimately higher operational efficiency and profitability.

The insurance company, based in Muscat, Sultanate of Oman, faced challenges in the acquisition date determination, fair value assessment, subsidiary consolidation, and IFRS compliance during their business combination.

Our team provided technical IFRS expertise, ensuring accurate financial reporting, compliance with IFRS standards, and enhanced stakeholder confidence.

We provided IFRS expertise to a stock exchange-listed insurance company, helping them navigate the complexities of consolidating financial statements from various subsidiaries and ensuring compliance with IFRS requirements.

Our technical solutions included IFRS training, a comprehensive consolidation process, systematic management disclosure, and assistance in adopting new IFRS standards.

The university adopted cutting-edge contactless biometric technologies, including FaceNet for facial recognition and Deep Speaker Embeddings for voice biometrics, to ensure safety and operational efficiency during the pandemic.

This technology shift not only enhanced safety by reducing COVID-19 transmission risks but also improved the user experience and operational processes within the university.

Café 14 needed to create realistic financial projections for the next five years and prepare a full set of IFRS-compliant financial statements to attract potential investors.

Our team provided expertise in financial planning and IFRS compliance, resulting in well-structured business projections, comprehensive financial statements, and key financial ratio analyses.

The project for two foreign banks in Oman encompassed the development and implementation of an ECL model under IFRS 9, improving financial reporting, data quality, and regulatory compliance.

Our team provided expertise in ECL model development, data governance, methodology selection, and system integration, leading to enhanced financial stability and operational efficiency.