The goal of science-miner is to accelerate and strengthen science with Machine Learning techniques. The company proposes open source tools and R&D services for helping the scientists to take advantage of the very rapidly growing amount of scientific and technical information, from traditional scholar publications to experimental and primary datasets.
We are focusing on scholar text mining, scientific knowledge extraction and knowledge engineering. We primarily develop and maintain Open Source software for the benefit of the scientific community and propose consulting and R&D developments services on scientific information.
Founded in June 2015, science-miner is an independent and self-financed company. Our list of clients include CNRS INIST/DIST, CNRS CCSD, Inria Saclay and Paris, ImpactStory, WIPO (United Nations), scite.ai, the Collaborative Knowledge Foundation, dataseer.ai, the EPO, UT Austin, UC Berkeley and University of Lorraine.