Fast Search & TransferT (FASTT), a developer of enterprise search and real-time alerting technologies, has announced a relationship with IBM to pursue the development, marketing and sales of integrated e-business solutions to the Life Sciences market in Europe and in North America. As part of this agreement, the two companies will explore opportunities to integrate FAST Data SearchT, FAST’s scalable enterprise search platform solution, with IBM Life Science Solutions. This integration will help accelerate the discovery process for professionals in the Life Sciences market by delivering highly scalable, real-time, and single point access to the most relevant information available from massive amounts of data located in disparate formats from internal and external sources.

“IBM Life Sciences is dedicated to rapidly bringing leading-edge technology and valuable solutions out of the laboratory and into the marketplace for customers and Business Partners in the fields of pharmaceutical research, biotechnology, genomics, proteomics, health care, and academic research,” stated Martin Stoddart, Senior Marketing Manager, IBM Life Science Discovery Solutions. “Our partnership with FAST brings key data analysis and discovery capabilities which we believe will be of interest to our customers. We expect this partnership to help improve the discovery process for those in the Life Sciences sector, who require real-time access to scientific information that is highly relevant to their research needs.”

“This agreement extends IBM and FAST’s successful partnership to meet the requirements of researchers who need instant access to, and dissemination of the most relevant scientific information and analysis,” commented John M. Lervik, FAST’s chief executive officer. “While expanding FAST’s presence in the growing Life Sciences sector, the combination of our technologies with IBM’s delivery capabilities and life sciences expertise will enable researchers to efficiently leverage FAST’s data aggregation, search and analysis capabilities. This will result in researchers being able to turn large amounts of structured and unstructured data into scientific discovery and further advancing the field of medicine.”