Driven by Results: Azati’s Portfolio

Azati developed online application forms for a US national leader in healthcare liability insurance. These forms automate the process of application management, including form submission, missing information gathering, decision making, and insurance quote acceptance, helping to streamline operations and reduce paperwork.

Azati Labs developed a proof-of-concept prototype using machine learning and computer vision to detect road defects from images and videos. The solution can assist municipal governments in automating road defect detection and repair cost estimation while also helping automotive manufacturers reduce maintenance costs for smart vehicles.

Azati designed and developed a custom recruitment platform for a staffing agency based in New Jersey. The platform uses a network of interconnected microservices to improve the process of resume search, candidate evaluation, and general hiring, ultimately speeding up the recruitment process and enhancing overall efficiency.

Azati built a platform to connect users with local tradesmen, including web and mobile apps, smart search, and integrated payments with digital and international options.

Azati Labs developed an AI-powered prototype that identifies stock market trends. The prototype leverages machine learning and sentiment analysis to evaluate how news articles impact stock price movements.

Azati developed an automated tool to optimize the marketing workflow for a US-based healthcare liability insurance company. The solution focused on automating the process of generating promotional materials for sales agents and external distributors, enabling them to provide real-time, personalized insurance offers to clients. The tool extracts relevant data from internal databases, customizes marketing documents, and creates microsites for each client or distributor.

Azati developed a complex solution for online food ordering, including a web portal and mobile applications. The system is integrated with various payment gateways and internal restaurant service systems, enabling smooth operation across platforms.

Azati enhanced the Extract, Transform, Load (ETL) process for a healthcare customer by identifying and eliminating issues related to incomplete or inconsistent reference data from multiple operational systems. The customer is a US national leader in customized insurance, claims, and patient safety & risk solutions for healthcare professionals and facilities.

NoteWorks is a musical game designed to teach note recognition and improve sight-reading skills. In the game, Hungry Munchy eagerly attempts to catch elusive blue notes, and the player's goal is to help Munchy catch each note as quickly as possible.