Our Portfolio:

Mendix Low-Code Development

Mendix Low-Code Development

Mendix Low-Code Development

Explore the world of Low-Code application design

System Integration

System Integration

System Integration

Create sustainable infrastructure with our expert services

Artificial Intelligence

Artificial Intelligence

Artificial Intelligence

Use machine learning and neural networks in your projects with our help

Custom Development

Custom Development

Custom Development

You need a script or program that would do exactly what you need? Our programmers will prepare just the right solution for you

Sentiment Analysis

Sentiment Analysis

Sentiment Analysis

Enrich your decision making process with information extracted from sentiment analysis of your customers and key market players,

Legacy Data Export

Legacy Data Export

Legacy Data Export

Our expers will extraxt old valuable data from system such as Lotus Notes / Domino

Artificial intelligence applications
Natural language processing
Machine learning classification
Artificial intelligence for business
Convolutional neural networks
Ai engineers and programmers
Deep neural network
Artificial intelligence for websites
Development of machine learning algorithms
Recurrent neural networks
Artificial intelligence for retail
AI bots for business
LSTM neural networks
Machine learning applications development
Artificial intelligence software development
Face detection
Artificial intelligence automation in business
Machine learning engineers
Virtual assistents custom development
Artificial intelligence solutions
Marketing powered by AI
Artificial intelligence projects
Machine learning software development
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Artificial Intelligence and Machine Learning for Smarter Business

Among our core competencies belongs utilization and custom research development of Artificial Intelligence software and machine learning technology in the enterprise applications.  Actually, Creatity began as an Artificial intelligence startup. Optimize and automate processes, save costs, time and human resources or personalize customer service.

The main idea is simple – why to write a script where you need to specify every single condition and each reaction to it? You can let the AI learn based on available data and determine what the best reaction is. This is more accurate, faster and at the end of the day more cost-efficient approach than changing the code each time the situation changes. The human errors are eliminated, decisions are faster and quicker and consistent user experience is provided. The major benefit is that AI can take an action also in conditions that were never present in the training set.

Creatity s.r.o. will help you to identify most suitable use-cases for implementation of artificial intelligence into your business application. Not all use cases are suitable – it depends on available data sets, on the environment and actions that can be taken. We assess also security implications for applications equipped with AI decision engine. It is necessary to have quite a big amount of data for training of AI – even if your company does not possess the necessary data, we can get them for you in certain cases – our developers have know-how in the fields of web-scraping and web-crawling.

Prediction

Based on historical data we can implement and train neural networks so that they can predict next steps based on past situations. This is possible only if there is a causal dependence from the past to the future and the data set contains enough data for training, testing and validation. 

Classification

The main approach is very similar – based on available data, deep neural network is able to learn what category to choose for given input data. The architecture of the neural network is here a bit different. CNN in combination with GRU, LSTM or other types of neural networks is usually used. This depends on actual use case.

Pattern recognition

In this case the data must be somehow marked or tagged and pre-evaluated to show clearly what the desired pattern is, and sufficiently large training set must be present.  The neural network is then trained to identify this pattern even in very fuzzy data. However, there must always be correlation between the pattern and input data. Use cases are voice or face recognition, detection of objects in images or video, authentication and identification, etc.

Anomaly detection

This is like the pattern recognition problem, however, here is the situation reverted. AI is trained to detect a normal situation and classify it accordingly. In case that anything else beyond normal is detected, for instance some suspicious network activity happens, alert mechanism is triggered, and situation may be analyzed.

Data extrapolation and interpolation

Have you even seen those funny mobile applications that can predict how would you look like older or younger? If the answer is yes you have a better idea what we can do with production data. We can fill out missing gaps or interpolate any time sequence to the past or to the future.

In general data harmonization will help to achieve better prediction and optimal estimation of material and costs.

Automatization

Automating repetitive tasks in your company leads to time benefits and better quality due to standardization. Processes are faster and more effective; the human errors are eliminated. This approach provides opportunity for employees to do more creative and complex work. Your customers will be pleased by having personalized offers of products or virtual assistants.

AI and machine learning helps to optimize or automate the processes especially in the fields of

  • Virtual Assistants or Chatbots
  • Marketing, Retail, Shopping and Fashion – targeting and social analytics, price optimization, social media monitoring, sales prediction
  • Human resources management – analyze employee satisfaction, monitor productivity
  • Manufacturing and Production
  • Live Stock and Inventory Management
  • Warehousing and Logistic Supply Chain
  • Financial or investing analytics forecasts and improved reporting, expense or revenues reporting,
  • Monitoring and forecasts
  • Fraud detection
  • Sentiment analysis