We combine data science skills with engineering by applying software craftsmanship principles. That means we implement clean code, static code analysis and automated tests, code reviews, and other best practices.
We start with improving data quality, only to move on to improving algorithms and dedicating time to experimentation with alternative methods before delivering your solution.
From building infrastructure and data pipes, through ETL processes and task scheduling, to API design and integration of predictive models with end user systems - we've got you covered.
We follow two principles in our data science projects:
You can count on our expertise at every stage of the process: data collection, data processing and the Extract, Transform and Load (ETL) process, data cleaning and structuring unstructured data, data analysis (including visualisation) and building predictive models on the top of data.
Data science is a broad area so we handpicked a few disciplines that we believe have most potential in business applications - we’re just passionate about them!
Let your organization benefit from quality data visualization and analytics.
Unlock the potential of data hidden in vast repositories.
We equip our solutions with powerful and functional search engines.
Take advantage of a cutting-edge technology everyone’s talking about.
Analyze massive amounts of textual content with a few clicks.
Benefit from computer vision solutions to get a better grasp of your data.
Help your customers find what they need with automatically generated recommendations.
Make your development team more productive with our tools.
Here are the technologies we swear by when developing data science projects for our partners. Our team members are constantly learning new things so expect this list to grow quickly.
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