Large language models turned AI from a specialist tool into a general-purpose technology. The companies below build the frontier foundation models — and the application layer on top of them — powering everything from chat assistants to autonomous agents.
Large language models have transformed how we interact with AI. These companies are building the foundation models and applications powering the next generation of AI experiences.
Apple AI
Cupertino, United States
Apple AI focuses on the research and development of on-device artificial intelligence, primarily through its MLX framework – an Apple silicon-optimized toolkit for developing and deploying large language models. Targeting AI researchers and developers, MLX enables private, efficient LLM experimentation and deployment directly on Apple hardware, bypassing reliance on cloud infrastructure. This positions Apple AI as a provider of both foundational ML technology and a secure, localized AI development environment.
Microsoft AI
Redmond, United States
Microsoft AI provides a comprehensive suite of artificial intelligence services and products, including the Copilot assistant and Azure AI platform. Leveraging large language models developed in partnership with OpenAI, they offer generative AI and cloud-based AI solutions for enterprise applications. Their focus is on enabling businesses to integrate AI capabilities for increased productivity, innovation, and sustainability initiatives.
Google AI
Mountain View, United States
and general knowledge: Google AI develops cutting-edge large language models like Gemini, alongside the widely-adopted TensorFlow machine learning framework and supporting infrastructure. Their key innovations center on multimodal AI – enabling models to process and understand text, images, audio, and video – as demonstrated by Gemini’s advanced reasoning and creative capabilities. Targeting developers, researchers, and general consumers, Google AI integrates these technologies across numerous Google products and recently launched the Gemini API for broader access and application development.
Amazon AI
Seattle, United States
Amazon AI provides a comprehensive suite of cloud-based artificial intelligence services and infrastructure through AWS, including the development of foundation models like Titan and the SageMaker AI platform. Their core offering centers on enabling organizations to build, train, and deploy agentic AI applications at scale, leveraging specialized infrastructure and a robust data foundation. Targeting businesses across all industries, Amazon AI differentiates itself by offering end-to-end capabilities – from model development to data governance – with a focus on cost optimization and enterprise-grade security.
Salesforce AI
San Francisco, United States
Salesforce AI delivers embedded artificial intelligence capabilities across the Salesforce Customer 360 platform, most notably through its Einstein GPT and Einstein Copilot offerings. Leveraging large language models and proprietary machine learning, Salesforce AI provides generative AI features like automated email generation, call summarization (via Sales AI), personalized marketing journeys, and AI-powered customer service tools like Agentforce – all integrated with CRM data. These solutions are targeted towards enterprise businesses seeking to enhance sales, service, marketing, and commerce operations, and have enabled features like automated knowledge base creation and the ability to integrate custom LLMs via the Einstein Trust Layer.
IBM watsonx
Armonk, United States
IBM watsonx is an enterprise AI platform offering foundation models – including open-source options – and governance tools designed to accelerate the deployment of generative AI. The platform focuses on enabling businesses to build, deploy, and monitor AI assistants and agents across hybrid cloud environments. watsonx targets large organizations seeking to integrate AI into core workflows while maintaining control, compliance, and data security.
Baidu AI
Beijing, China
Baidu is a Chinese technology company and search leader whose AI work includes the ERNIE large language models, the Apollo autonomous-driving platform, and a broad AI cloud business.
OpenAI
San Francisco, United States
OpenAI is an AI research and deployment company whose stated mission is to ensure artificial general intelligence benefits all of humanity. It develops the GPT family of large language models and products including ChatGPT, the DALL-E and Sora generative models, and widely used developer APIs.
Anthropic
San Francisco, United States
Anthropic is an AI safety and research company that builds Claude, a family of large language models focused on being reliable, interpretable, and steerable. Founded by former OpenAI researchers, it pioneered Constitutional AI and delivers Claude through consumer apps, a developer API, and major cloud partnerships.
xAI
San Francisco, United States
xAI is a US-based artificial intelligence company focused on developing and deploying large language models with a stated mission of advancing scientific discovery. Their primary product is Grok, a generative AI model accessible via API, web, and mobile platforms, offering enhanced speed, precision, and multilingual capabilities. xAI targets both individual users seeking an AI assistant and developers looking to integrate advanced LLM functionality into their applications, as demonstrated by their API offerings and recent partnership with the government of El Salvador.
Cursor (Anysphere)
San Francisco, United States
Cursor, built by Anysphere, is the leading AI-first code editor for pair programming with AI. Raised $2.3B in 2025 at a $29.3B valuation, becoming the fastest-growing dev tool.
Inflection AI
Palo Alto, United States
Inflection AI builds personal AI assistants and originally developed the Pi conversational assistant. In 2024 most of its team, including its co-founders, joined Microsoft, and the company refocused on enterprise AI products and models.
Frequently asked questions
What is a large language model?
A large language model (LLM) is a neural network trained on vast amounts of text to understand and generate human-like language, powering chatbots, copilots, and reasoning agents.
Who are the leading LLM companies?
Frontier labs such as Apple AI, Microsoft AI, Google AI lead foundation-model development, alongside a growing ecosystem of enterprise and open-source providers.
What is the difference between a foundation model and an application?
A foundation model is the large, general base model trained at great expense. Applications are products built on top of it — fine-tuned, wrapped in interfaces, or integrated into workflows.
Are open-source LLMs competitive with closed models?
Open-weight models have closed much of the gap on many tasks, giving organizations a self-hostable alternative, though the very frontier is still often led by closed labs.
How much does it cost to train an LLM?
Training a frontier model can cost from tens of millions to well over a hundred million dollars in compute alone, which is why so much capital concentrates in a few labs.