Big data platform Import.io has raised £600,000 of seed funding
Import.io, the cloud-based big data platform, has announced a £600,000 seed round from Wellington Partners, Alta Vista founder Louis Monier and French technology investor Emmanuel Javal to enable the startup to expand and develop its platform.
Import.io helps companies and developers find, extract and connect different sets of data from the web in order to facilitate the creation of apps and businesses.
The company is currently in developer preview, so the investment will be now enable Import.io to build out their platform. Import.io allows developers to extract data from sites through a point-and-click interface, fuse data from underlying sources and access the data in real-time via a single API call.
“The web is full of useful data, but the reality stands: the web was designed for documents not data,” explains Import.io CEO David White. “We want to allow anyone to harness this trapped data. We democratise access to it by making it simple to turn websites into data sources and create incredibly rich new data sets in a single real-time, virtual database.”
Wellington Partners’ Eric Archambeau adds that he has faith in the company’s founders to develop a compelling proposition: “Given the founders’ previous experience in implementing and growing a successful business intelligence data tool that continues to be used today in some of the largest financial institutions, we believe they are well-suited to execute their goal of providing a simple yet powerful way to tap the data needed to help businesses and developers create data-rich applications.”
Founded in June 2012, Import.io’s underlying technology was created from an existing enterprise forensic search business – Kurisi – which has sold into some of the largest banks, governments and professional services firms in the world, such as KPMG, PwC and CitiGroup.
In addition to building out the product, Import.io plans to offer a data market place further down the line, enabling data owners to retain better control of their data.