any information, in any format, in any location.

Jumper is a Search 2.0 engine. It provides universal search of the deep web or disparate divisions and departments of your organization. Jumper indexes all your distributed and highly-fragmented content, media, and data regardless of format, both inside and outside the firewall, across divisions, partner sites, or the Internet.

You search Jumper by entering keyword searches or browsing categories. Advanced filters allow for very focused search based on knowledge tagging (see Wikipedia definition). These same users can also become contributors of the service categorizing information (databases, flat files, documents, pdfs, powerpoints, spreadsheets, images, video, web sites, etc) to create core listings. Jumper leverages proprietary enterprise bookmarking to power a “directory” model of search. This does NOT mean Jumper lacks search technology. Those directory listings have to be searched through, and quickly, and our relevancy algorithms are applied to deliver best results.

Vast amounts of information are available (and growing exponentially) to benefit decision making and research. Greater visibility is needed to bring the best information to the surface. Crawlers and spiders are very good when you need to find surface information ("the surface web that represents the most common 20% of searches), but the relevancy diminishes for complex queries, such as trying to find "amino acids containing tryptophan and phenylalanine that exhibit strong UV-light absorption". Jumper does much better at this with its knowledge tags, categorization, and filtering — and that is why Jumper has grown in popularity over its crawler-based rivals in the research driven enterprise.

Group Think
Today all search engines are pretty much the same. They will typically return the same search results with only very minor modifications. Everyone follows Google which means it is hard to find a search engine with better, or even different, search results.
Jumper delivers something truly new for delivering information hidden in silos.

Surface Web
Search engines return the most popular sites from the surface Web, that portion of the Web or your Enterprise that is indexed by conventional search engines, but there is a wealth of information that is deep and therefore missed. Most of the Web's information is buried far down on dynamically generated sites or in distributed silos in your Enterprise and standard search engines simply do not or cannot "see" or retrieve this information.
Jumper delivers the ability to search the deep web and distributed silos of your organization.

Relevant Results
The more complex the query the less likely the search results will be relevant. A search algorithm is a one size fits all approach. If the best information for your query is not returned within the first 20 search results you will not likely find it.
In Jumper human beings index the information and other users provide a rating that moves it up or down in the results to improve searchability.

Click Through
Search for search sake will return lots of results. But what is being returned? Users will typically have to click through every search result and review each result seperately to determine relevance and context. This can be a frustrating, time-consuming, and all too often fruitless process.
Jumper delivers knowledge with the search results allowing users to understand more context, meaning, and value about the information itself.

Complex Search
Complex queries often mean inquiring with multiple separate vertical or specialty engines to find relevant results. Individual point solutions such as federations, warehouses, document management, web pages, etc. require significant time and effort to locate information of interest by silo.
Jumper presents all relevant content, media, or data in the primary results page for universal search.

are your silos hindering innovation?

Silos make accessing information harder. Searching across silos means invoking each one's client, using unique interfaces, and receiving seperate results. Federating suffers similar problems, made worse because each silo has its own organizational structure. Pulling the silos into a basic index provides no way to link particular items, represent the relationships among the resources, capture context or meaning, and so hinders the free flow of information. As a result people spend too much time looking for information – or they spend too little and make decisions based on incomplete information. Isn't it time to move beyond the limitations of traditional search?

Read the Big Benefits for bioPharma?