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Founded 2023
Find 4 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as OpenAI, Anthropic and Cohere. These Norns AI competitors have raised $228.1B and together serve more than 2.3M customers and employ over 7.5K team members.
AI & Machine Learning Operationalization (MLOps) Software
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core.
AI & Machine Learning Operationalization (MLOps) Software
We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
AI & Machine Learning Operationalization (MLOps) Software
Cohere is the leading AI platform for enterprise. Our world-class AI is uniquely suited to the needs of business, unlocking unprecedented ease-of-use, accessibility, and data privacy. Cohere’s platform is cloud-agnostic, accessible through API as a managed service, and can be deployed on virtual private cloud (VPC) or even on-site to meet companies where their data is, offering the highest levels of flexibility and control. Founded by Google Brain alumni and a co-author of the seminal Transformer research paper, Cohere is on a mission to transform enterprises and their products with AI that unlocks a more intuitive way to generate, search, and summarize information than ever before. We are backed by group of global institutional and strategic investors including Index Ventures, Oracle, NVIDIA, Salesforce Ventures, Inovia Capital, DTCP, Mirae Asset, Radical Ventures, Section 32, and Tiger Global, as well as several AI luminaries, including Geoffrey Hinton, Jeff Dean, Fei-Fei Li, Pieter Abbeel, and Raquel Urtasun.
AI & Machine Learning Operationalization (MLOps) Software
Bringing artificial intelligence (AI) into the 21st century involves advancing technologies and applications to maximize their potential and impact on society. This includes improving AI algorithms, enhancing data processing capabilities, and creating innovative solutions to address complex challenges in various industries such as healthcare, finance, and transportation. Ultimately, the goal is to harness the power of AI to drive progress, efficiency, and innovation in the modern era.
