The Strong AI Lab (SAIL) within the Centre for Natural, Organisational and Natural Intelligence (NAOI) works at the intersection of machine learning, reasoning and natural language understanding, with an additional focus on maximizing the near-term benefit of AI to NZ entrepreneurs and business, and more generally achieving the best social and civilizational impacts of increasingly powerful AI. While maintaining a strong interest in knowledge capture and natural language understanding, our current research goals involve the development and use of quasi-logical systems, which retain approximations of the formal properties of logic while adding the learnability and flexibility distributed representations, and have the full representational power of natural languages. As an adjunct to that work, we work directly on deep learning architectures and on the development and application of large, inferentially productive knowledge bases and inference systems across the resulting range of reasoning paradigms. We aim to apply these representations and reasoners to the construction of practical "dense domain models", which are sufficiently complete to support the full range of in-domain reasoning that humans are capable of.