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 artificial intelligence. His experience ranges from software development to strategy consulting. Prior to founding Basement AI, Aarne has, for example, led the Search Platform team at Nokia, worked as a Technology Strategy consultant at Accenture Strategy and led the Analytics consulting practice in the Nordic region at Gartner. In addition to his extensive career in the industry, Aarne is also a researcher and a PhD student in Natural Language Processing at University of Helsinki. His research focuses on natural language understanding and deep learning.Contact us!
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.