AI Foundation Model APIs
The base models you build on — accessed via API to power any AI feature you can imagine.

Meta's open-source large language model family for building custom AI applications and workflows.

Enterprise AI platform providing foundation models and embeddings for search, generation, and classification.

Open-source AI assistant and foundation model optimized for reasoning and code generation.

AWS managed service for accessing and fine-tuning foundation models from leading AI providers.

IBM's enterprise AI platform for building, deploying, and governing AI models and assistants.

Upstage's Solar LLM and Document AI APIs offering high-performance language models and document intelligence for developers.

Anthropic's agentic coding tool for writing, editing, and running code in the terminal.

AWS's generative AI assistant for business users and developers built on Amazon's models.

Microsoft's suite of AI APIs including Azure OpenAI, vision, speech, language, and document intelligence services.

Stability AI's open-source image generation model - the foundation for thousands of AI image tools and custom fine-tuned models.

Open-source AI-native vector database for semantic search, RAG applications, and multimodal AI data storage.

Enterprise AI writing platform with Palmyra LLM, brand voice enforcement, and AI apps for content teams and developers.

Google DeepMind's AI web agent that navigates browsers and completes tasks using Gemini 2.0's multimodal reasoning.

Open-source multi-agent AI framework for orchestrating collaborative AI agent teams to complete complex tasks.

Google Cloud's unified AI platform for building, deploying, and scaling ML models and Gemini-powered generative AI applications.

AWS's end-to-end ML platform for building, training, and deploying machine learning models at scale.

LangChain's stateful multi-agent framework for building controllable, cyclical AI workflows and production agent systems.

AI data platform for training data labeling, RLHF, model evaluation, and enterprise AI development used by leading AI labs.

Open-source AI-native vector database for embedding storage and semantic search in LLM and RAG applications.

Data framework for connecting LLMs to enterprise data sources for RAG, agents, and AI-powered search over documents.

Google DeepMind's AI video generation model producing cinematic video with native audio, dialogue, and sound effects from text or image prompts.