Driven by Results: Azati’s Portfolio
Dive into our portfolio to see how we’ve helped customers achieve their goals. Each project showcases our expertise in delivering tailored solutions that drive growth, innovation, and success.
Contact Us
No industries selected
Reset all
Our Projects
AI Calorie Calculator and Food Recognition
Azati’s data scientists successfully developed a prototype for a calorie-counting application that uses AI to estimate the calorie content of complex dishes through image analysis. This solution can be applied in industries like agriculture, catering, sports, or for everyday life, making calorie tracking faster and more accurate.
Read more
NLP Solution For Pharmaceutical Marketing
Azati developed a unique AI and Computer Vision-based solution to help pharmaceutical companies generate assessment reports based on insights from medical practitioners. The solution automates the process of analyzing questionnaires and provides valuable data for enhancing pharmaceutical marketing strategies.
Read more
Patient Record System & Database Migration
Azati helped a well-known healthcare company to merge two separate solutions, enhance the user interface, and optimize basic business processes, leading to smoother system operation and increased performance.
Read more
ETL Process Enhancement
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.
Read more
Genetic Analysis Tool
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.
Read more
Semantic Search Engine for Bioinformatics Company
Azati developed a machine learning-powered semantic search engine to improve the accuracy and speed of searches within vast and complex scientific datasets, specifically for a bioinformatics company.
Read more
Improving Performance of the Smith-Waterman Algorithm
Azati improved the performance of the Smith-Waterman algorithm by applying computing acceleration technologies, reducing the time required to run queries by 30-50 times, while maintaining the accuracy of the results.
Read more
Multiple Sequence Search
A life science portal was enhanced with powerful multi-sequence search functionality, enabling researchers to query multiple nucleotide or peptide sequences simultaneously across comprehensive biological databases.
Read more
Bioinformatics Algorithm Enhancement: BLAST Optimization
Azati optimized the BLAST algorithm to improve accuracy when working with short DNA/RNA sequences, enabling a biotechnology company to conduct more reliable primer-based research and improve the effectiveness of their genomic sequence analysis.
Read more