Meet the team

an experienced, mature, diverse and international team

  • 15 people

  • from 6 different nationalities

  • living in 6 different countries

  • 7 women & 8 men

  • 8 in nlp & nlu

  • 4 in tech operations

  • 2 in sales

  • 1 in general management

  • 2 patents

#wearenalantis

Sofie Geeroms

Andreas Kraze

Mandy Schiffrin

Olha Zolotarenko

Peter Bourgonje

Mieke Verheijen

Frank Platteau

Geert Devos

Jasmien Van Cleuvenbergen

Roel Van Gorp

Kristof Vannotten

Judith Snoecx

Shuwei Wang

Chloe Aerts

Sofie Geeroms • Andreas Kraze • Mandy Schiffrin • Olha Zolotarenko • Peter Bourgonje • Mieke Verheijen • Frank Platteau • Geert Devos • Jasmien Van Cleuvenbergen • Roel Van Gorp • Kristof Vannotten • Judith Snoecx • Shuwei Wang • Chloe Aerts •

Our approach to
natural language understanding

 

We have fallen deeply in love with language technology (it’s true)
We think AI is all about augmented intelligence
We live by explainable and trustworthy AI #NoBlackbox
We love intuitive solutions
We make data understand people
We are Nalantis

 

Artificial Intelligence has been around for 50+ years with a massive amount of progress recently by researchers, companies and institutions. We've seen major milestones and tremendous change in computational linguistics, natural language processing, semantic modelling and of course machine learning. The rise of deep learning has accelerated the dawn of AI and we anticipate an even more rapid acceleration of AI achievements in the next decade. We’ve invested and combined these techniques to deliver a unique approach to using natural language understanding to benefit businesses.

Central to our company values at Nalantis is a strong belief in AI transparency… AI you can Trust. Putting trust at the center will help build better AI frameworks avoiding ill performance or biased algorithms.

Implementing transparency and explainable AI helps Enterprise and government understand how their data is being used and how decisions are made. What makes this challenging is the growing complexity of machine learning and the popularity of deep-learning neural networks, which can behave like black boxes with no explanation of how their results were computed. The NoBlackbox approach at Nalantis (Semantic ConceptNet Modeling) enables the developer community to tap into APIs for semantic representation of language and unstructured text and creates full explainability and transparency.

 

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