We are a visionary IT company that creates software, tailored to individual needs of our Clients. We ensure the highest quality and transparency of the written code.
During the implementation process we can optimize the standard solutions with machine learning elements.
We follow software craftsmanship best practices.
As a part of the project we prepare a documentation in a form desired by the Client.
We keep our tech radar updated to deliver the state of the art.
We leverage our knowledge about cloud service providers to design distributed systems dedicated to serve extensive traffic.
WorkITNow UX/UI Designers provides functional and user friendly solutions. We ensure efficient integration of your software with any other external systems.
Our developers always care about transparency and effectiveness of the implemented code, as well as, highest legibility of the documentation.
We provide safe and easily scalable solutions for business, based on the highest management and code development standards, including data protection standards.
Tensorflow framework and Python programming language allow us to create relevant applications based on the accurate machine learning models.
We carry out the projects using mainly Agile methodology. It means there is no need to define rigid requirements for the very beginning of the project. The lean approach allows the owner to bring in the changes at every stage of the software development process.
When a business grows, the software has to evolve to match current needs and to serve its purpose. That is exactly the case we were introduced to by our client. Dynamics of the market has changed the way sales consultants and pharmacy managers work. This impacted the existing processes and caused a paradigm shift. Existing warehouse system occured to be a constraint rather than a booster for the business. It doesn’t mean it didn’t work and the only solution was to rewrite. We took a pragmatic approach.
Data is everywhere but it’s shape and location very often determine how effective we are with collecting and processing it. As humans we have very limited capabilities when it comes to processing, matching and merging big portions of data. These are tasks which are the best candidates for automation. When a new business process emerges within an organisation it may occur that data required to support it is scattered around. That was exactly the case we faced while supporting our client.
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