Teaching machines to understand natural language is extremely complex and is considered the holy grail in the field of Artificial Intelligence. Extracting and providing relevant and useful information from the right places is even more challenging and with current approaches ultimately impossible to scale.

Wluper is at the intersection of Natural Language Processing and Knowledge Base creation, and aim to bring them together by leveraging state-of-the-art deep learning.


Analytics

Software

Wluper

Hami Bahraynian

Ian Hamilton

Jérome Joaug

Nikolai Rozanov

Gurneam Bains

Maurice Von Sturm

Linda Jiang

The Research and Development team at Wluper is dedicated to advancing the state of Natural Language Processing (NLP) and Knowledge Base creation. This team, comprising experts in dialogue systems, computational linguistics, machine learning, and deep learning, focuses on building scalable systems that enable machines to understand and extract relevant information from natural language inputs. Through rigorous research, innovative methodologies, and leveraging cutting-edge technologies, the R&D team aims to overcome the complexities and limitations of current NLP approaches.

Research and Development

Leadership Team

Research and Development

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Leadership Team