SciBite recognized as a KMWorld trend-setting product of 2020

SciBite is pleased to have been recognized as a KM World trend-setting product of 2020. Recognized for helping the life sciences to unlock previously inaccessible data and knowledge from life science texts – making the process of extracting and analysing data and information easier so organizations can continue to push understanding forward.

Recently acquired by global research publishing and information analytics provider Elsevier, SciBite’s data-first, semantic analytics software platform is designed for those who want to innovate and get more from their data. Built by scientists for scientists who believe data fuels discovery, SciBite continues to push boundaries with its cutting-edge technology applications and people-first solutions that unlock the complexities of scientific content. Leading the way by pioneering the combination of the latest in machine learning with an ontology-led approach, SciBite’s semantic infrastructure answers business-critical questions in real-time by releasing the value and full potential of unstructured data.

The KM World Trend-Setting Products list is created annually to help spread the word about new and noteworthy solutions that are helping to improve organizational systems. These offerings push the limits of what is possible with knowledge management. Some are mature and have evolved over many years by adding new features and capabilities, while others are newer entrants in the KM market. But whether time-tested or cutting-edge, the common theme is the potential value they offer organisations by transforming information into insight.

“We’re very pleased to have been recognized as a trend-setting product for 2020, our mission is to help our customers better understand the complexities of life sciences data. This recognition is yet another testament to the fantastic team we have built and continues to build on here at SciBite,” said Lee Harland, Founder & CSO at SciBite.

Learn more about SciBite’s latest technology advancement announcement, SciBite AI, designed for leveraging machine learning models alongside semantic technologies to unlock insights into life sciences data.

SciBite AI use case