Artificial Intelligence and Data Science

Grow your business at the pace of technology giants

Having machines do complex, repetitive work previously pulled off only by humans is no longer wishful thinking. Thanks to machine learning developments, we can now reach formerly unfathomed levels of automation and data processing to obtain previously unseen information about our environment – all without the intrusion of our busy human brains. The current pace of digital disruption suggests that today the tech industry is experiencing the golden mean – companies are rapidly adopting machine learning, but the market still lacks competition.

AI and Data Science experts at Aksis will help you adopt state-of-the-art practices and elevate your product or service among your rivals. By leveraging complex methods and expertise in a range of ML algorithms and models including Deep Learning, we develop end-to-end machine learning solutions for your particular business needs.

Our AI and Data Science Expertise

Computer Vision

Extract useful information from images and surroundings for face recognition, biometrics, defect detection, stock counting, fraud detection, classification, damage inspection, transportation, AR, VR and other use cases with computer vision algorithms.

Customer analytics

Teach machines to understand text and speech as humans do, extract meaningful information, find topics in text documents, answer questions to automate customer service or build chatbots

Predictive Analytics

Glimpse into the future with the help of past and present data. Eliminate guesswork and learn how your organization, customers, or the whole industry will change in the future.

Recommender systems

Use the technology responsible for growing conversions in Netflix, Amazon, and Spotify. Provide your users with the most relevant content, deliver a personalized customer experience.

Time series forecasting

Find patterns in your historical data to predict trends and seasonal cycles. Forecast demand for your products, adjust your strategy or pricing, predict prices for competitors

Anomaly detection

Identify abnormal behavior to detect fraud, security issues, information breaches, medical problems, structural defects, and other malfunctions.

NLP (Natural Language Processing)

Analyze behavior, find data patterns, build a customer segmentation model to allow better targeting, personalization, and overall customer experience.