Enterprise AI platforms face a fundamental tension: they need to be comprehensive enough to handle diverse use cases, yet flexible enough to integrate with existing infrastructure. Monolithic platforms try to solve this by doing everything, but end up doing nothing well.
The composable approach is different. Instead of a single, all-encompassing platform, we provide specialized components that work together. RAG Pipelines handle document processing. The AI Gateway manages model routing and cost optimization. Agent Observability provides visibility into system behavior.
Each component is production-grade on its own, but the real power comes from composition. When you combine our RAG Pipelines with the AI Gateway and Agent Observability, you get a complete agentic document processing system that's more capable and more maintainable than any monolithic alternative.
This approach also respects enterprise reality. Most organizations already have investments in cloud infrastructure, observability tools, and security frameworks. Our components integrate with what's already there rather than requiring wholesale replacement.
The composable architecture has another advantage: it enables incremental adoption. Teams can start with a single component — say, the AI Gateway for model management — and expand to the full platform as their needs grow. There's no big-bang deployment required.