Large Language Model (LLM) Companies
Companies building and deploying large language models, from frontier research labs to enterprise AI providers.
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 Cloud AI
Mountain View, United States
Google Cloud AI provides a comprehensive suite of cloud-based artificial intelligence services for enterprise customers. Their core offering, Vertex AI, is a unified platform enabling the full lifecycle of machine learning development – from model building and tuning to deployment and MLOps. Google Cloud AI differentiates itself through decades of internal AI research – including the development of transformer models – and a focus on enabling customizable, production-ready AI agents for business automation.
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.
Snowflake
Bozeman, United States
Snowflake provides a cloud-based data platform enabling organizations to store, process, and analyze data at scale. Their core offering, the AI Data Cloud, incorporates features like Cortex AI to facilitate the development and deployment of custom large language models (LLMs) directly within the platform. Snowflake targets data-intensive enterprises seeking to break down data silos and accelerate AI innovation without data movement or complex infrastructure management.
Palantir AIP
Denver, United States
Palantir AIP delivers a comprehensive artificial intelligence platform, built upon its foundational Foundry platform, that integrates Large Language Models (LLMs) like those powering its “Harpoon” and “Gotham” offerings with an organization’s disparate data sources. Key AI capabilities include contextual AI analysis, enabling users to query data using natural language, and secure, scalable deployment of generative AI applications within highly regulated environments. Palantir AIP currently serves customers in the U.S. government, financial services, and manufacturing, and recently announced a partnership with Airbus to accelerate digital transformation and innovation.
Baidu AI
Beijing, China
Baidu is China's leading AI company with ERNIE LLM, Apollo autonomous driving, and PaddlePaddle deep learning framework.
OpenAI
San Francisco, United States
OpenAI is an AI research and deployment company dedicated to ensuring that artificial general intelligence benefits all of humanity. Creator of GPT-4, ChatGPT, DALL-E, and Sora.
Anthropic
San Francisco, United States
Anthropic is an AI safety company working to build reliable, interpretable, and steerable AI systems. Creator of Claude, focused on Constitutional AI and harmlessness research.
Duolingo
Pittsburgh, United States
Duolingo is a US-based EdTech company offering free, gamified language learning across a wide range of languages. Their core offering is enhanced by AI-powered personalization, most notably through Duolingo Max which integrates OpenAI’s GPT-4 to provide users with realistic conversation practice and detailed feedback. Targeting a broad consumer base of language learners, Duolingo differentiates itself through accessibility, a science-backed methodology, and increasingly sophisticated AI-driven features.