With datasets becoming larger across almost every business sector, the analysis and management of large-scale and unstructured data are becoming a laborious process. Various existing tech startups provide automatic analysis and data categorization software, but the enormous datasets found in the data landscape of today are yet to have a dedicated solution.
Katana Graph provides a digital analytics engine that facilitates the end-to-end storage, ingestion, and analysis of very large sets of unstructured data. As a result, the company claims its software can help produce graphs and actionable insights in under half an hour, a process that would normally take days when applied to trillions of data points.
Despite many startups aiming to tackle the automatic analysis of raw datasets, Katana Graph holds a unique concept by applying AI, GPUs, and FPGAs to accelerate the generation of large-scale graphs. The startup also aims to make the migration to their analysis tools frictionless, by facilitating connectivity with Python code and the open query graph language OpenCyper.
Freddie
Company Specialist at Welcome to the Jungle