Our mission is to build natural language understanding solutions that create business efficiencies by making data understand people.
Our vision is to become a leading natural language understanding company.
Meet the Team
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Judith Snoecx
Senior Linguist
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Andreas Kraze
CIO
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Frank AErnout
CEO
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Kristof Vannotten
CTO
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Chloë Aerts
Sales Manager Projects
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Mieke Verheijen
Senior Linguist
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Shuwei Wang
Senior Linguist
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Frank Platteau
Chief Scientist
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Mandy Schiffrin
Chief Product Management
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Roel Van Gorp
Senior Developer
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Olha Zolotarenko
Chief NLP
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Geert Devos
Chief Languages
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Bruno Vermeiren
Business Development Brazil
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Jun Gao
Business Development China
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Jasmien Van Cleuvenbergen
Web Developer
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Luc Van Haute
Freelance Sales Agent
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Peter Bourgonje
Lead Computational Linguist
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Francisco Neto
Sales Manager Rio de Janeiro, Brazil
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Juliana Rocha
HR Consultant Brazil
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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