According to Harvard Business Review, "52% of fortune 500 companies have disappeared since 2000 due to digital disruption", and "75% of today’s S&P500 will be replaced by 2027”.
Data is driving the digital disruption. Data volumes are growing exponentially, and the data source are becoming increasingly heterogenous. RAW Labs addresses the growing need for companies to have a single platform to manage heterogenous data at scale. Being able to quickly access, integrate, join and transform any type of data - whether it comes from existing internal sources, or external sources - is the basis for any digital transformation.
Founded in 2015 as a spin-off from the renowned Ecole Polytechnique Federale de Lausanne in Switzerland, RAW Labs enables companies to rapidly build and deploy data driven applications, and data-as-a-services, without having to invest time and money in new and expensive data lakes and data warehouses. Rather, let RAW connect to your existing data lakes and data warehouses, and increase the return on your current investments.
RAW Labs makes it possible to create enhanced sets of data in real time, regardless of data format and complexity, and use these data sets to build data driven applications without having to replicate the data. Seamless integration to data science tools, allows the users to further enhance the data sets. The enhanced data sets in RAW can then be used to create new data driven applications such as predicting diabetes in patients or can be made available as a service for consumption by a company’s existing enterprise solutions. By accessing data at source, RAW eliminates data duplication and the need for heavy ETL processes before the data can be used, thus providing unprecedented time to value, lost cost and minimal IT overhead.
RAW can be deployed on premise, in the cloud and on the Edge.