Kaft

Since 2012 the Polish IT company Kaft, trading as Kaft: IT Tailored Solutions, has built system integrations, APIs and data platforms for organisations whose technology has to keep pace with their business. It writes mostly in Polish, and says that many of its clients return with further projects, so that its relationships are long-lasting.

Putting technology foundations in order

According to its site, the company tidies up an organisation's technology base so changes can be made faster, more safely and at larger scale. It describes the practical results as less needless complexity, a consistent flow of data between systems, less manual work and quicker processes, and an architecture ready for growth. It works with existing architecture and technology and says it does not assume it will rebuild an environment from scratch or replace working systems without a clear need, modernising the areas that hold development back. It builds and runs solutions on premises, in the cloud and in hybrid set-ups, and can take over a project that is mid-way or needs modernising.

Sectors with demanding requirements

Kaft points to experience in environments with strict demands on security, availability and regulatory compliance. The sectors it lists are finance and banking, health and life sciences (systems handling sensitive data and integrations important to medical and laboratory processes), telecommunications (large scale and high data volumes), online services and platforms, plus transport and logistics (distributed systems that need reliable data exchange).

How a project runs

Work usually begins with a short analysis of the current situation, business goals and technical limits. The stages that follow are an assessment of the current architecture and its risks, a proof of concept to test key assumptions before a full rollout, a design of the target architecture with an implementation plan, iterative delivery with quality control, and then support as needs change. The firm gives indicative durations for the early stages: a few weeks for an audit and for the target architecture and plan, and somewhat longer for a proof of concept.

Big data and business intelligence work

Its earlier site described a particular strength in big data. That covered deployment of computing clusters based on Hadoop, Spark and related tools, ETL processes, data science and analysis, dedicated big data applications in Java, search systems, NoSQL database systems, and rollout of the Pentaho business intelligence platform, an open source option.