Our services
Automated Extract, Transform, Load (ETL) pipelines to structure and consolidate data from separate sources
Visualise data through reports and dashboards. Diagnostic, predictive and prescriptive analytics
Understanding businesses and their needs through automated business intelligence reports making businesses data driven
Use advanced data processing techniques to extract insights from textual, numeric, time and geo data
Use data science to design autonomous decision making processes amounting do Artificial Intelligence
User driven development of Web applications, CMS, and APIs, with strong focus on engaging user experience
We typically deliver projects through 2-week sprints.
User driven product design and development with emphasis on user experience and engaging UI
Breaking down project into fixed term sprints with fixed price proposals and transparent and granular pricing
Agile sprint based product development with clear deliverables and acceptance criteria
Regular monitoring and scheduled, urgent and on-demand maintenance and feature development
Qualimental Technologies has been awarded the “Leading Pioneers in Natural Language Processing – UK” in the 2020 Artificial Intelligence...
0 commentsGovernments are increasingly seeking to capture the opportunities offered by AI to improve public-sector productivity and the provision of...
0 commentsDataiku [1] is a collaborative data science platform designed to help scientists, analysts, and engineers explore, prototype, build, and...
0 commentsThe initial consultation is always free, we will help you assess your need and make a proposal and quote for the project.
Yes, we can send our consultants and developers to work onsite on the project. But of course, if it is not necessary, we normally work remote.
We offer both cloud-based and on-premise solution depending on your needs, we create a customised solution according to your needs.
Typically a mid-tier developer should be able to handle any maintenance work and update without it taking all their time.
C level team members use data outputs to drive high level strategic level decisions, but it is best exploited when used by everyone in the team from business development managers to marketers
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