Today it's official: Wrapidity is joining Meltwater, read background by Steve O’Hear at https://techcrunch.com/2017/02/21/meltwater-acquires-wrapidity, press release at https://www.wrapidity.com/wrapidity-acquired-by-meltwater!
Wrapidity’s mission is to open up humanity’s greatest resource—the web—to everyone.
For decades, we were promised that the web would become humanity’s greatest database. And that all that data would be available as XML, RDF, or Web 2.0 APIs. Yet, what remains is a vast ocean of dark data, hidden behind the surface in the silos of the deep web. To unearth the potential insights hidden in this accumulated information, the hidden data (estimated to be 80% of all Web data) has to be painstakingly extracted and refined to become amenable to further analysis.
Businesses and data scientists in many verticals have recognized the tremendous value of such insights, but also the punitive cost for their collection. Data scientists spend around 80% of their time on data collection and preparation, and they really hate doing so.
With Wrapidity’s technology every business, every policy maker, and every scientist will be able to afford including relevant web data into their decision models, ultimately leading to better, more fact-driven decisions.
Knowledge + redundancy + specialised AI.
$5M dollar top-tier European research grant, leading to dozens of publications in top international AI, database, and web technologies conferences.
What Wrapidity can do for you?
You think you have an idea how to better match people and jobs? Or how to answer “where are Italian restaurants along this route”? Or how to find out where a competitor is currently building up new operations?
But where do you get the necessary data on current job offers, restaurant menus, or other product offers? That’s where Wrapidity comes in: We quickly provide a highly structured database of all offers or goods you are interested in, whether they come from a few websites or hundreds of them—a database you can use to build better search, better recommenders, or better analytics.
This doesn't just help you build your application faster, it also makes applications possible that previously were out of reach even for the internet giants:
- Answering queries that link data from different domains: a place that's playing the latest Batman movie and where I can get a good burger afterwards.
- Answering queries that link dynamic and static data: find me a cheap hotel in a low crime area.
- Answering queries that involve data across many countries or even languages