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Expert (Key Opinion Leader) tool for the Life Science industry

Reference number
Coordinator MONOCL AB
Funding from Vinnova SEK 2 700 000
Project duration November 2014 - March 2016
Status Completed

Purpose and goal

The project was aimed to develop and pilot launch a groundbreaking analytics software for the evaluation of relevant experts and opinion leaders within Life Science and to enable long-term business relationships with these individuals. The project has exceeded high expectations and all objectives have successfully been achieved. The analytics software Monocl EGO was created through the project. The world´s largest Pharma company Novartis as well as the 11th largest instrument company Bio-Rad are early customers, as are several of Sweden´s prominent Life Science incubators.

Results and expected effects

The project was aimed to develop an expert analytics software for launch during Q1 2016 through four distinct objectives, all of which were fulfilled: 1. Establish a scalable cloud-based architecture with machine learning capabilities 2. Develop an expert registry with industry leading quality and algorithms for relevance sorting of experts 3. Establish a user friendly interface adapted to industry work flows 4. Establish and validate a suitable SaaS business and revenue model At the end of the project, more than 6 million searchable expert profiles were established in Monocl EGO.

Approach and implementation

Major software development work packages, related to core architecture and logics, expert registries, relevance sorting and interface development, were executed during the project. In parallel to this development, commercial work packages focused on business and revenue strategies as well as IP strategies were conducted. The pilot launch was performed during the final stages of the project and Monocl EGO received excellent response in the market place due to its highly relevant vertical integration and great applicability in Pharma and for other Life Science companies.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 25 November 2019

Reference number 2014-04968

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