UK Knowledge Technologies Companies

 


 

 

Autonomy Systems Ltd
Technology focus: provides software infrastructure that automates the processing of unstructured information (for e-commerce, crm, knowledge management, etc)

Products:
Commerce Application Builder: flexible, scalable and fully automated e-commerce content infrastructure for managing and personalizing e-commerce content to enable more and more high quality transactions.

Autonomy XML Engine: Enables XML applications to understand conceptual information, independent of variations in tagging schemas or the variety of applications in use. Automatically inserts XML tags.

Voice Suite: Plugs into any Autonomy product, allowing businesses to implement intelligent, scalable and applications that handle multimedia content.

Active Knowledge: Automatically brings relevant information to employees as they work, thereby eliminating the need to stop and search for information.

Further info:

At the heart of Autonomy's software is its ability to analyse text and voice (in any language) and identify and rank the main concepts within it. It can then automatically categorise, link, personalise and deliver that information. The technology is used to automate these operations within enterprise information portals, customer relationship management, knowledge management and e-business applications.

 

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Applied Psychology Research (APR)
Technology focus: specialise in intelligent software designed to enhance decision making through understanding the psychology of users and the content they require.

Further Info:

Applied Psychology Research (APR) offers decision intelligence solutions, designed for people who need to make transaction judgements.

APR's Youmeus Significance Engine understands the psychology of individual users, bringing order to large quantities of unstructured information, so that the right information is delivered to the right person at the right time.

Youmeus is unlike traditional personalisation or classification systems which only address half the problem. It is able to profile individuals and classify information, delivering context and insight, in order that better decisions can be made.

APR is backed by Barclays Ventures Technology Group, Intel Capital and Sussex Place Partners. The company has worked with a range of blue chip clients, including the Co-operative Wholesale Society, Affinity Internet Holdings and Blockbuster Entertainment Plc.

 


 

 

Infogistics
Infogistics Limited is an Edinburgh-based company founded by internationally recognized experts in the fields of text-mining and document retrieval.

Having designed the winning entry for the University of Edinburgh in the prestigious US Department of Defence-sponsored competition in Message Understanding in 1998, Dr. Andrei Mikheev left the University and teamed up with Dr. Steve Finch to develop Infogistics' groundbreaking new technology.

Infogistics is a leading provider of text-analysis solutions across multiple markets including HR, law enforcement, knowledge management and CRM. Combining award-winning software applications with patent-pending technology, Infogistics helps organizations locate and link key pieces of information within their vast databases.

Technology focus: text-analysis, content extraction and document retrieval solutions across multiple areas of industry.

Products:
Real Term: a powerful new technology from Infogistics which combines the flexibility of a query-based search with guided browsing capabilities of directories.

Xtractor: an engine that sifts through large volumes of texts, creates database records for the objects in the texts and identifies their relationships.

NLProcessor: segments texts into sentences, disambiguates sentence starting words, assigns the correct reading of the word given the context and groups words into syntactic structures.

XML Zoner: flexible set of re-usable components for segmenting texts into their structural parts (paragraphs, tables, titles).

Further info:
The early-stage firm, which has three staff in Edinburgh and four in Moscow, was founded to commercialise natural language processing technology developed at Edinburgh University. It is hoping to provide text-analysis, content extraction and document retrieval services across areas of industry including HR, law enforcement, knowledge management and CRM.

Infogistics' products utilise new advanced document understanding and clustering technology developed by world-leading experts in the fields of Information Retrieval and Document Understanding. All Infogistics' products are XML and Internet enabled and can be integrated easily into existing workflow systems, from large bespoke enterprise installations to multiple workstations running Microsoft Office.

 

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Linguamatics
Technology focus: Dialogue management systems, intelligent information extraction, automatic reporting,

Products:
Intelligent Extraction: To coin a phrase, your organisation is data-rich but information-poor . You've got access to masses of electronic text, but you know that getting information out of it will take more time than you can spare or afford.

Intelligent Extraction is as simple to use as Alta Vista or Google and your queries produce not a million documents but tables of information ready to import into all your usual software (Access, Excel etc).

Intelligent Dialogue: Many automated booking systems are tedious and frustrating to use because they have rigid structures that prevent the user taking the initiative. Linguamatics' Intelligent Dialogue system supplies abstract representations of, for example, a booking process to a flexible and intelligent dialogue handler. This means that rather than the dialogue proceeding along lines determined by the system, the system can adjust the way it conducts an interaction according to the input it receives:

Further info:
Linguamatics was founded in late 2001 to create world-class products and conduct
cutting-edge research in the areas of Information Extraction and Dialogue Systems.

The founders have extensive experience in the field of Computational Linguistics, in
academic research and in product development.

 


 

 

Smartlogik
Technology focus: information retrieval: automatic document categorisation and information retrieval solutions.

Products:
'Structure':
Automatic Document Categorisation tools

  • Rule-based categorisation
  • Dynamic categorisation
  • Industry-specific starter rule-bases
  • Tailored thesaurus
  • Categorisation editing tool

Structure is a set of world-class categorisation tools designed to enable documents to be
automatically classified under related subjects, dramatically enhancing the relevance of
search results.

Categorised documents can be added to a searchable database to build an information
resource that can be accessed from anywhere in the world, with the knowledge that the
items retrieved are the most appropriate and the most up to date.

Structure reads and classifies documents from a variety of sources with a consistent
classification terminology, enabling information retrieval tools to pinpoint the documents
required, without the need to search through large volumes of irrelevant data.

When used in conjunction with Discovery, Structure's document categorisation provides a
sophisticated solution to automatically widen the scope of a search by extending the query vocabulary.

Discovery: Probabilistic Searching tools

  • Probabilistic search engine
  • Automated indexing
  • Dynamic indexing
  • Intuitive interaction
  • Alerts
  • Document-level security

Discovery is an advanced information retrieval engine which provides a powerful method of
interacting with the vast array of internal and external information available, so that users
can discover information that is highly relevant to the task at hand.

Discovery presents users with an intuitive, natural language environment enabling them to
interact with the search results to maximise the relevance of the information delivered. It
identifies concepts from the user, maps these to concepts extracted from all the information
sources available, and then identifies and suggests new and related concepts automatically
- expanding the knowledge base and beginning the process of knowledge creation.

Discovery may be used as a complete information retrieval system, with flexible and
highly configurable interfaces. EJB and COM+ development platforms provide
high-level interfaces with the technology and are defined using XML.
Discovery is fastest and most effective when used in conjunction with the unique
Structure product that automatically categorises information.



Further info:

APR acquired the assets of knowledge management products company, Smartlogik, in May
2002. For customers, the acquisition creates an information management suite which adds
Smartlogik's market leading information search and categorisation capabilities to APR's
intelligent understanding of user needs.

 

 

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Transversal
Technology focus
: Natural Language Search Technology, NLP

Products:
Transversal's metaFAQ products use natural language processing (NLP) technology. With Transversal's natural language technology, metaFAQ products automatically compensate for misspellings, recognize synonyms and perform concept matching tasks.

Transversal's Memory Engine is the basis of our natural language search technology. The Memory Engine allows web site visitors to ask questions from a site in plain English. The important ideas within a query or a body of text are then automatically matched with all relevant information in your metaFAQ knowledgebase. These results are displayed for the visitor in order of relevance. As the visitor clicks on information they find useful, the Memory Engine tracks their interests, pinpointing what it is they want to know.

Further info:
Transversal, an Internet Technology company based in Cambridge, England, was founded in 1998 by Dr Davin Yap and Dr David MacKay.


Transversal benefits from the founders' close ties to the University of Cambridge, which has made it easy to recruit some of the University's most gifted graduates and programming wizards.


Transversal provides affordable, web-based customer support and information management solutions.




 
 


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This page last updated 20.06.2002 11:12
Webmaster: Amy Neale