AI has proven to be an inseparable part of our lives, applicable and beneficial in all industries. With its ability to analyze vast amounts of different types of data almost instantaneously, the need for AI solutions is continuously growing.

IMAGE ANALYSIS
Object recognition on images

The algorithms for object recognition are far more advanced and up to 20 times more accurate than just a few years ago. More than 70% of data is transmitted by image or video. Automate your processes and gain valuable knowledge about your surroundings by enriching your software with AI and deep learning capabilities.

CUSTOMER SEGMENTATION & SENTIMENT ANALYSIS
Understand your clients thoroughly

Understanding your customers is an achievement that can skyrocket your marketing and sales outcomes. Thanks to AI, deep learning, and clustering algorithms, you will be able to uncover unknown unknowns, take a different approach to analyze the data, and gain more knowledge about your clients. Personalization will allow you to better communicate and improve acquisition & customer retention, and reach the dream ROI.

SATELLITE IMAGES ANALYSIS
Analyze any spot on the globe

Satellite images can be a rich source of information about the changing world and environment. But to understand that data with precision, we need an AI-based software, able to detect even the most delicate changes, merge them with other sources and information, thus creating in-depth observations and analytics. From smart & efficient agriculture to safe & eco-friendly architecture, satellite images analytics has many applications.

TREND DETECTION
Get ahead of your competitors
Recognizing and applying current trends is not enough to be a leading company, regardless of the industry. A key to success and innovation is the ability to spot emerging, less noticeable, and obvious factors that will rule tomorrow. AI-enabled algorithms can analyze high-volume, varied data (news & stock exchange reports, demographic trends, academic research, social media posts, etc.), creating advanced conclusions that will help you to make timely business decisions.

FORECASTING ENERGY CONSUMPTION
Optimize energy costs, utilization, and management
There are many factors that contribute to changes in energy consumption: temperature, humidity, consumer habits, and even population health & demographics. AI-based software can take them all into account and create accurate and detailed forecasts. It not only allows to optimize energy costs but also increases the efficiency and better utilization of renewable energy sources.

INVENTORY OPTIMIZATION
Improve your supply chain management / stock management
Introduce AI to your company and enter the era of Industry 5.0. Algorithms can solve the main warehousing riddle: how much stock is enough to keep the business running smooth but not sink too many resources in non-moving goods? In order of completing accurate analysis, they include many data and factors, such as market trends and your customers’ behavior, helping you to lower storage costs and improving overall supply chain management.

UNSUPERVISED LEARNING
Familiarize the unusual

AI field is rapidly developing, and its capabilities are constantly expanding, with technologies such as deep learning, neural networks, etc. Though it is mainly applied for trend detection and data segmentation, it can also help us to understand nuances and edge cases. Unsupervised learning combines the industry-specific, expert knowledge with algorithms trained on raw data, emerging a new, innovative perspective.

PROCESS AUTOMATION
Robotic process automation

One of the most popular fears, present from early beginnings of AI and robotics, is that the robots will outplace manpower, leaving many out of work. The reality is really quite different – robots and AI-based machines can take over a part of manual work, mainy repetitive and very detailed, which most people finds simply boring or exhausting. Humans remain involved in all processes, probably more satisfied with their tasks. Robotic process automation promotes cost-optimization and greatly increases production efficiency.

DATA ENGINEERING
Data acquisition, governance & quality

Machine learning and deep learning algorithms magnify our data engineering capabilities. What is more, with technologies such as web crawlers, we are able to gather large amounts of crucial data, which allows early, detailed trend detection. But even with the high-volume data, tools are needed to ensure its quality and governance. Such systems detect corrupted and incomplete information, flag and exclude it from further analysis. The effect? Richer, faster, more accurate data analysis.