Home ML and AI
Collect and process a wide range of data including historical data, customer demand data, market data, currency data, and news content. Build predictions with supervised ML, unsupervised ML, autoregression models, and more.
Benefit from natural language processing, optical character recognition, text preprocessing and evaluation, spam filters, document clustering, and linguistic research. Turn images, videos, and audio content into data sources and get trend labels as output for further predictions.
Build fast and self-improving algorithms to solve the combinatorial optimization problem. Solve other real-life optimization problems with advanced tools such as genetic algorithms, simulated annealing, stochastic local search, and reinforcement learning agents.
Use all your data to create advanced customer segments and cohorts. Use customer segments for building segment-specific forecasts, discovering customer behavior trends, planning targeted marketing, and launching new features.
Implement an AI-based anti-fraud system strengthened by ML. Discover and prevent email phishing, credit card and payment fraud, identity theft, document forgery, form jacking, account takeovers, and more.
Build a data warehouse to structure your data for analytics and decision-making. Use diverse techniques for data mining including association analysis, regression analysis, and classification and predictions.
