ML Model Development
Azati empowers with AI
AI-powered solutions help doctors accurately recognize, classify, and forecast different diseases, as well as automate general healthcare workflow.
Patient Data Analysis
For proper treatment, it is necessary to know everything about the patient: medical images, blood tests, medical history, etc. Artificial Intelligence automates patient file analysis with custom NLP techniques and digital image (MRI, X-rays, and CT scans) processing.
We train machine learning models to recognize malignant neoplasms of the skin to diagnose skin cancer, as well as analyze visual impairment to determine and forecast possible diseases.
Individual Treatment Selection
By combining data from the treatment history, previous diagnoses, and real-time health indicators, an ML model evaluates the current health of the patient to prepare an optimal individualized treatment plan. Such an approach helps to cure diseases much faster.
The petroleum industry has to solve the problems of assessing reliability during equipment operation, transport routes, and supply chain optimization.
Processing and Digitization of Complex Documents
Azati created a custom platform for document digitization (Azati OCR) that allows businesses to extract valuable data from complex documents that contain graphs, charts, and images. Azati OCR allows processing a wide variety of complex technical materials efficiently and accurately.
Intelligent Search Engines
Azati built several intelligent search engines powered by advanced machine learning technologies and sophisticated semantic techniques. It lets companies eliminate complex search queries, and helps to accelerate general data lookup processes, as users can form search queries with natural language.
Artificial Intelligence helps marketers to automate data processing, forecast market trends, increase the efficiency of the routine tasks, and collect valuable information about their customers.
With AI-powered tools for predictive analytics, marketers analyze data collected through previous periods to determine which marketing strategies may increase the probability of sale, and how this or that actions can potentially impact the overall sales numbers.
Market Trend Discovery
Using previously collected information like industry comparisons and economic trends, artificial intelligence help to assess and evaluate the demand, make better data-driven decisions, predict short and long-term sales results, and boost company income.
Individual Marketing Campaigns
AI-powered tools analyze customer profiles and provide insights helping to drive individual marketing campaigns. The software understands the enormous volume of market data, including economic demand, competitors’ offers, and market volatility, to set tariffs for products in accordance with current and forecasted demand.
Artificial Intelligence allows companies to eliminate several problems that financial institutes and stock market traders face: complex data processing, market trend discovery, and stock price prediction.
Automated Data Processing
While making informed decisions, it is essential to analyze data coming from various data sources. Artificial Intelligence helps to process all incoming data and turn this information into a single structured format, simple both for human and machine understanding.
Data Quality Control
Every financial company operates with sensitive customer data, so it is essential to avoid possible mistakes or at least to decrease the inaccuracy probability. Machine Learning models spot the deviation of new information, as well as validate the existing records.
Financial Fraud Detection
Huge financial institutes suffer from fraudulent activities, which cost them hundreds of millions every year. Hopefully, machine learning allows companies to process complex unstructured data much quicker, what significantly decreases fraud detection costs.
Artificial intelligence has tremendous potential to improve the insurance industry. It helps automate insurance processes to provide customers with the best quality and customer service.
Today AI helps to recommend new insurance products to potential customers. The individual customer profile is automatically matched with the available products, and the consulting process becomes faster, more efficient, and cheap enough.
Automated Customer Interaction
Chatbots provide great help to the first-line customer support serving clients 24/7. Conversational agents not only collect valuable data directly from the customers but also process and analyze information in real-time, helping to deliver better customer experience.
Insurance Fraud Detection
Insurance companies suffer from fraudulent activities no less than banks, and the only difference is data the algorithms analyze. Machine Learning helps underwriters to analyze incoming insurance policies in real time with advanced risk scoring techniques.
Business analysts and engineers go in-depth while researching the solution. Such an approach helps us to earn off-hand experience and unique knowledge in various industries.
Azati often hires professionals with scientific and academic backgrounds to share their in-depth technical knowledge and bring a new vision to the development of new technologies.
If the existing application is not built in an optimal way, we recommend alternative solutions that may improve the solution without disrupting the existing application infrastructure.
Featured Case Studies
At Azati Labs, our engineers developed an AI-powered prototype of a tool that can spot a stock market trend. Online trading applications may use this information to calculate the actual stock market price change.
Azati designed and developed a semantic search engine powered by machine learning. It extracts the actual meaning from the search query and looks for the most relevant results across huge scientific datasets.
Our data scientists implemented impressive startup idea - the application that allows to immediately change wallpapers on the photo taken from a smartphone.