We constantly integrate new features into our platform, but at the end of the day it's more about features making sense rather than just being possible. It's a step by step process. In our labs it's the other way around: We play with new ideas, let them grow and share them. As demonstrators, prototype apps, open source libraries, datasets and other innovation artifacts.

Retrievr lets you find flickr images by drawing rough sketches of them. Finding images on Flickr is mostly textual (tags, keywords) or social (contacts, friends, groups). Retrievr is, like images, visual. At the same time it's our testbed for image retrieval algorithms, so that when you add an image to a page in System One Collaboration, it gets you the potentially most similar pictures back in realtime. Or you can add it as ingredient in a custom search strategy. Since its launch, retrievr drew the attention of millions of visitors as well as thousands of bookmarks, diggs, blog posts as well as reports on MSNBC, BBC, The Wall Street Journal, Slashdot, TechCrunch and others.

Wikipedia³ is a conversion of the monthly English Wikipedia database dump into RDF, creating a dataset containing around 47 million triples. While it has always been our test dataset of choice, its wealth of information created by thousands of people all over the world also opens up new perspectives when put into a Semantic Web format: How to not (again) put structure or ontology, but people and their data first. How to meaningfully infer from the already known. How to scale real-world graph platforms - It's a foundation for a lot of interesting work.