Organizations
Explore companies, research labs, universities, nonprofits, and public institutions across the AI ecosystem.
National University of SingaporeNUS is one of Southeast Asia’s main centers for AI research and training. Its AI Institute brings together foundational learning and reasoning, efficient systems, safety and governance, while specialist groups have made the university particularly visible in language technology and embodied intelligence.
Element AI sought to turn Montreal's deep-learning research base into enterprise products spanning language, vision, search and decision support. Its team and technology became the foundation of a Canadian AI innovation hub inside ServiceNow.
Humboldt University of BerlinHumboldt University contributes to Berlin’s broad AI research ecosystem through work spanning machine learning, language technology, computer vision and the social consequences of automated systems. Its role is strengthened by collaborations with Berlin’s universities and research institutes.
Bloomsbury AI built systems that could read documents and answer questions about their contents. Facebook acquired the London team to strengthen its natural-language-processing research and apply its expertise to understanding unstructured text.
Sarvam AISarvam AI builds language and multimodal systems designed around India’s many languages, public digital infrastructure and government or enterprise needs. Its work matters as an attempt to create a full-stack, locally deployable alternative to English-first frontier models and foreign AI platforms.
Its Faculty of Mathematics and Informatics has long trained researchers in mathematics and computer science. Current AI programmes cover machine learning, language processing, knowledge representation, computer vision and autonomous systems.
Oxford machine-learning startup co-founded by Edward Grefenstette. Its team joined Google DeepMind in 2014, bringing expertise in language understanding and deep learning.
Developed collaborative knowledge-discovery software that analyzed working documents, identified entities, and recommended related information for defense, intelligence, and financial-services users. Salesforce acquired the company in 2019.
Zhuiyi Technology builds enterprise conversational-AI systems for customer service, sales and operations. Its products combine language models, speech, digital humans and conversation analytics, and its team developed the rotary position embedding used widely in modern language models.
Computing research spans machine learning, natural language processing, computer vision, robotics, autonomous systems, data science, cybersecurity, and human–computer interaction, with links to the Alan Turing Institute.
Research spans foundational machine learning, language technology, trustworthy and inclusive conversational systems, human–computer interaction, and interdisciplinary applications of data science.
Its Centre for Machine Intelligence links foundational and applied work in machine learning, speech and language, computer vision, autonomous systems, health, manufacturing, and responsible human-centered AI.