Driven by Results: Azati’s Portfolio

Azati designed and developed a group of 5 interconnected applications to redefine the traditional ordering and payment flow in venues. This real-time service works to the benefit of both venue owners and visitors. The solution includes mobile apps, a bartender application, a web portal for venue administration, and a custom CRM for the customer.

Azati designed and developed an intelligent search engine for inventory search enhancing traditional search algorithms. It analyzes the user input and looks for a specific entry. If the algorithm can’t find the requested item in the inventory, it explores the characteristics of the object and returns the list of similar products.

Azati Labs developed a progressive web scraping platform for a US-based real estate firm. The solution scrapes customer data from various websites and compiles it into a single, interactive dashboard. The project aimed to help real estate agents gain deeper insights into potential customers before they sign contracts, while adhering to strict data privacy laws in Northern California.

Creating a software tool that integrates components of both Human Resource Management and CRM into a single one, aimed at increasing effectiveness of human resources management by allowing flexibility and transparency.

Development of an online data source for sequence information, designed to meet scientists' and researchers' IP search needs, including patentability, Freedom-to-Operate (FTO), patent infringement, validity, and business intelligence.

An integrated Customer Relationship Management (CRM) system was implemented to improve customer engagement across various business channels, with Master Data Management (MDM) being a key factor in optimizing CRM processes.

Development and launch of a comprehensive educational web platform featuring secure video hosting, content management (CMS), integrated e-commerce functionality, recurring online payments, and a built-in CRM system to support and scale online drum lessons.

Azati developed a new API and enhanced the existing procurement platform’s functionality to optimize trading and procurement operations between buyers and suppliers.

Azati designed an automated policy application decision assistant for insurance underwriters. With machine learning tools and improving computing capacities, this has now become a reality. The assistant processes policy applications and provides recommendations to approve, decline, or manually review them, helping underwriters make faster, more informed decisions. The system utilizes historical data for predictive modeling, significantly enhancing the underwriting process.