iMaven accelerates the Pharmaceutical and Biotechnology drug development process using the power of artificial Intelligence.
iMaven accelerates the drug development process by helping Pharmaceutical and Biotechnology companies deliver more focused solutions, enabling the automatic curation and synthesis of Real World Evidence (RWE), and identifying new uses for existing medications – to name a few.
Using iMaven’s proprietary Cognitive Text Mining technology researchers can stay on top of new publications automatically, converting unstructured real world data into actionable insights.
iMaven uses powerful AI technologies like Natural Language Processing and Machine Learning to generate novel insights for further downstream research.
Bioinformaticians can create and publish complex analysis pipelines using the iMaven visual pipeline manager. Automation of Pharmaceutical and Biotechnology data analysis pipelines has never been easier.
iMaven provides extensibility to meet specific research requirements like applying custom data model for statistical modelling and correlation.
Users can connect to hundreds of different real world data sources, both public and private, using included pre-built data connectors.
Complex data can be visualized to identify hidden relationships through an extensive visualization library.