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1️. Application Layer – Where Learning Happens
- This is where AI delivers value to businesses. AI-powered apps connect to models through the Platform & Enablement layer, making AI accessible and actionable.
- Examples: Brim, Cursor, Jaspr
2️. Platform & Enablement – The Orchestrators
- These tools manage LLM outputs, orchestrate AI workflows, fine-tune models, and handle integrations, ensuring AI-generated content and insights are structured, relevant, and useful for business needs.
- Examples: Foundry, Snorkej, Langfuse
3. Foundation Models – The Engines
- The core AI models powering everything else. These models are either general-purpose or domain-specific, but they require the right tools and platforms to be useful in a business setting.
- Examples: OpenAI, Anthropic, Stability AI.
4️. Cloud Layer – The Infrastructure
- The backbone of AI workloads, enabling models to be trained, deployed, and scaled.
- Examples: AWS, Azure, Google Cloud.
5. Compute Layer – The Foundation
- The chips that power AI models—without this layer, none of the above would be possible.
- Examples: NVIDIA, AMD, Intel.