Find the answers you need.
We take the drudgery out of your daily work and research.
Formulate your ideas in your own words and get instant search results out of your text documents.
Search coverage for statements in your documents based on their semantic meaning, rather than on mere keywords.
Extract structured information from your unstructured text documents.
We use state-of-the-art machine learning models for semantic search, question answering, named entity recognition, and sentiment analysis.
We use a novel approach for semantic text analysis that captures the meaning of text passages in a high-dimensional vector space.
Our models can easily adapt to specific domains and learn the corresponding jargon, thanks to an unsupervised training method.
Our semantic analysis algorithm has quantum-mechanic structures and is thus ready to be implemented on future quantum computing systems.
Co-Founder & CEO
Graduated in mathematics and foundations of computer science from Oxford, Marco has written his MSc thesis on quantum linguistics. He is passionate about the interplay of language, linguistics, and AI.
Co-Founder & CFO
MBA from Rotman School of Management, Director of Innovation & New Ventures at RBC. Lauren has extensive experience in digitalisation and developing new products and brands.
Computer scientist and software engineer from Switzerland. Daniel's passion is to build software systems that not only just work, but are well-designed, efficient, reliable, and extensible.
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