Machine learning can be used in a variety of cases, from simple tasks like automation of data processing to highly complex and sophisticated human-like activities, and Klika’s teams are well-equipped to help you at any stage, whether it is just integrating solutions with your existing system or building a new one.
We help you assess, prepare and clean your data to set the baseline for any ML integration or development. With experts in ML, we are focused on setting you off with the right algorithms that specifically target the data you want trained, whether it is eliminating spam, automating entries or generating predictions like sales figures, customer segmentation, etc.
Using Deep Learning and other reliable tools and frameworks, we effectively solve specific problems and apply machine learning to data workflows and data models, which draw conclusions form the given context, helping you automatically elicit and categorize information.
With extensive knowledge and training in power BI, Tableau, D3.j.s. our data scientist teams combine knowledge and technology to deliver user-friendly data visualization models in all forms, i.e., heat maps, tree maps and others to bring specific data to the foreground.
If you want to enhance your system with specific AI features, we can help you optimize your system and add the necessary layers and features to support AI system integration. It serves as a pre-step to building AI solutions that will work with your system.
Experienced in NLP implementation, our teams can help you easily streamline routine processes, make use of larger datasets and enhance customer experience with NLP-based text generation, speech recognition, sentiment and more.
To extend the capabilities of your system, our teams are well-versed in developing deep learning solutions that can easily be integrated. Deep Learning is widely used in different industries, and it has become a defining factor for intelligent data extraction.
The Klika team was the core development team that built the technology behind automated workflows, smooth data integration, automated lead capturing from all available sources (from emails to websites) and AI capabilities that offered sophisticated features, such as reliable forecasts based on user activity and preference, next-step recommendations and a range of other functionalities, including voice-to-text transcription, data analytics models and a virtual assistant.