LIBRA AI joins HETiA
16 June 2022: LIBRA AI Technologies IKE became a Member of the Hellenic Emerging Technologies Industry Association (HETiA), thus joining forces with top high-tech companies from this region to help the Digital industrial ecosystem (digital twins, microelectronics, embedded systems, IoT) of South-Eastern Europe evolve and become a versatile & credible partner in the global market.
HETiA is Greece’s alliance of highly innovative industrial and academic performers, promoting digital technology proliferation and entrepreneurship in emerging technology domains. HETiA brings together more than 50 corporate and 30 academic entities involved in fast-growth areas encompassing semiconductors, connected devices, cognitive technologies and the IoT.
HETiA is the evolution of the Hellenic Semiconductor Industry Association that was launched in 2005.
About LIBRA AI:
LIBRA AI technologies is a Boutique Data Science Agency aiming to help SMEs and Start-Ups enjoy disruptive AI technologies and advanced business intelligence, which lead to tangible business benefits, without requiring in-house data scientists and engineers.
The company pioneers in a range of cutting-edge ML technologies deep learning streaming/online Machine Learning (ML), Natural Language Processing, multiple time-series forecasting, anomaly detection, recommender systems and distributed ML.
LIBRA AI develops customized solutions building its services upon the following main pillars:
- Data strategy consultancy and data-warehousing.
- Data Science as a Service, from day-to-day data analytics to end-to-end design and deployment of AI-enabled applications and products.
- Visual analytics and Business Intelligence.
- ML / AI in practical applications.
Application areas vary from marketing analytics and indoors positioning and from automatic question/answering in unstructured text to AI-enabled Business Intelligence.
With offices in Athens, Greece and Edinburgh, UK, LIBRA AI Technologies is currently employing 19 data scientists and Engineers.
For more information,
please visit the website: www.libramli.ai