Our in-house research turns real-world challenges into deployable solutions by combining rigorous science with engineering pragmatism.
We focus on methods that are robust, secure, and trustworthy from day one, validated against demanding, business-critical workflows.
Close collaboration between researchers, domain experts, and product teams ensures insights move quickly from lab to production—and back.
From academic to practice, from insight to impact – this is how we base ONTEC AI onto robust AI knowledge.
Academic research is the engine that turns AI from pure ideas into robust, secure, and trustworthy systems — grounding innovation in evidence, exposing failure modes before they reach production, and continually raising the bar for what responsible AI can do.
Discover our academic research and insights on topics like AI, machine learning, NLP, innovation, and log management. Explore how cutting-edge technology drives transformation.
Combining Taxonomies using Word2vec T Swoboda, M Hemmje, M Dascalu, S Trausan-Matu Proceedings of the 2016 {ACM} Symposium on Document Engineering, 131-134
We’re always excited to collaborate with the academic community. Reach out if you’re interested in a shared project, case study, or some research initiative.
