Train your system to think like a human with a ML/AI capabilities

From prepping raw data to deploying solutions, Klika teams build reliable custom machine learning solutions to bring your system to the next level.

With our experts, we can apply machine learning in a variety of cases, from simple tasks like automation of data processing to highly complex solutions with human-like cognitive abilities.

Artificial intelligence technologies have grown rapidly and expanded in every domain of everyday life, and with the right technologies and team, you can easily put them to use. From chatbots to image recognition and speech-to-text processing, there are numerous ways AI can help you speed up your services, gain deeper insights and make forecasts for your business with custom algorithms developed specifically for your business.

Experts at Klika use ML as part of data science and data analytics and we develop and integrate custom ML solutions for clients in the health and wellness industry (IoT), fintech (intelligent analytics tools), and sales (smart CRMs) to help them turn data into actionable insights.

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.

Odinteq
Natixis
Spiro
Unilever
Skidata
mondu
kapch
HTL
Comparative agility
Bawag PSK

Expertise we offer

Data prep and algorithm development

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.

Model development

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.

Data visualization

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.

ML integration with existing systems

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.

NLP

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.

Deep Learning

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.

Tools we use

Figma
Sketch
Adobe XD
Maze
Useberry
Useberry
Figma
Sketch
Adobe XD
Maze
Maze
Maze
Figma
Sketch
Adobe XD

Our clients

Building a smart progressive CRM with AI and ML features

Klika teamed up with Spiro.ai in 2014 to design a next-generation CRM called the PRM (Proactive Relationship Management).  Using innovative technologies, the goal was to build a proactive platform that will make better use of data and give precise call to actions and better overall management of leads and pipelines.

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.