Basement AI is a private AI research lab and consultancy focusing on helping organisations to identify and unlock the value of their data through artificial intelligence. We conduct research on natural language understanding and support both commercial and public sector organizations with their data, AI and natural language processing related initiatives. Our expertise and experience ranges from strategy definition to hands-on development of state-of-the-art machine learning and NLP systems.
Aarne has over 13 years of experience in AI, ranging from academic research to strategy consulting. Prior to founding Basement AI, Aarne led the Analytics consulting practice in the Nordic region at Gartner. He holds a PhD research position at University of Helsinki Language Technology group. Aarne leads Basement AI's consulting business and has the overall responsibility of the management of the company.
Alessandro holds a PhD in Computer Science from Sapienza University of Rome. His specialities include natural language processing and machine learning -- in particular computational models of natural language meaning. He is also a researcher at the language technology research group at University of Helsinki. Alessandro leads the development of new products and services as well as experimentation with the latest technologies at Basement AI.
Stergios holds a PhD in Theoretical Linguistics from King's College London. He specializes in computational semantics and has published a textbook and more than 50 academic papers and book chapters on the topic. He is also an associate professor and the coordinator of CLASP research center at University of Gothenburg. Stergios leads the development and execution of the research agenda of Basement AI.
We offer consulting services related to Data Monetization, Artificial Intelligence and Natural Language Processing.
We help your organization to understand and unlock the business value potential of AI and NLP by developing actionable AI and NLP strategies and roadmaps.
We help your organization to identify and prioritize AI and NLP use cases based on their business value potential and your organization's capabilities.
We help your organization to develop concrete AI and NLP experiments and proof of concepts based on the identified use cases.
We support your organization in executing and implementing production-ready AI and NLP solutions.
We conduct academic research on Natural Language Processing and Machine Learning.
Our research focuses on computational models of natural language meaning through deep learning. Our sentence representation models have achieved state-of-the-art performance in various natural language inference and sentence encoding benchmark tasks.
We conduct research on representation learning of natural language meaning in a multilingual setting utilizing deep learning. Multilingual models allow for improved transfer learning of insights between different languages.
We develop machine translation models and state-of-the-art neural machine translation systems. Our focus is especially on multilingual machine translation and machine translation of low resource languages like Finnish.