Visual Recognition

Most relevant technologies and solutions

Image Classifiction

We build fine-grained custom image classifications, which classify if an object exists in an image. Using as few as five reference images, we create a model to classify objects.

Object Detection and Segmentation

Our Algorithms can detect any given object in a video or an image in real-time. We use state-of-the-art deep learning techniques, alongside our developed algorithms to localize and track objects in video and images.

Action Detection

The algorithm is capable of detecting more complicated patterns, such as those that take place through time. For example, we can detect what activity a person is doing, analyze emotion through facial expressions, assume a person’s body pose, and sequence of actions.

Emotion Recognition

Our facial emotion recognition technology has been developed to identify human emotions associated with their facial expressions. Analyzing the movement of facial features and changes in the appearance of facial features, the system instantly codes facial expressions and delivers emotional states.

Data Analysis

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Predictive Analysis

We can predict various measures and events from given historical data. For example,we are predicting the probability of a user going default, the probability of churn, probabilityof certain ads being clicked, etc. We use Machine Learning algorithms and deep learning tofind hidden patterns in the data, which contributes to the prediction. (Supervised Learning)

Object Detection and Segmentation

In this scenario, our algorithms will segment the data into multiple groups based on complex patterns within the data. For example, we group users by similarities of their activities, given the user data. This is done by analyzing the relation within the data in order to detect anomalies of user behavior. We also do fraud detection by applying these technologies and developing domain knowledge, specific to the task at hand. (Unsupervised Learning)

Recommendation & Reinforcement Systems

The algorithm is capable of constructing an AI system that provides the best decisions in terms of maximizing a utility like an ad revenue, customer satisfaction, time spent on application, etc. The system learns and evolves through time by understanding patterns of data and adapts accordingly in real time. This can be used to provide the best suggestions for a certain scenario or have the authority to make decisions.

Churn Prediction

Churn prediction is aimed at reducing business costs and reducing their customer loss. It uses big data to detect customers who are likely to cancel their subscriptions, thus most at risk of churning. It leads to business savings, regardless of the size of the business. The full cost of churn includes both lost revenue and the marketing costs involved with replacing those customers with new ones.

Industrial Automation

Most relevant technologies and solutions

Industrial AI

Industrial AI works as an all-in solution for quality control in the manufacturing process. The technology is AI-powered and detects if there are defects in the product. This technology can be used in almost any manufacturing process, where a camera is placed on the production line.


Safety Reinforcement

Wearing a safety helmet is very important to ensure the safety of workers on the construction site. Our computer-vision-based technology automatically inspects the workplace and detects helmets in real time.


Quality Control

Image processing can help companies in quality control. For cases of producing products, the production stages can be checked by an AI model, following through cameras and catching in early stages if a product has a visible defect.


AI-Aided Decision Making

Repetitive tasks done by your employees that make decisions or predictions based solely on tabular data can possibly be replaced with AI. AI works at incredible speed and can read thousands of rows in seconds. The employee can quickly review the task done by AI and have time for other tasks.