The companies building the stack.

Composable pipeline and memory infrastructure for production LLM applications. Enables teams to build, deploy, and scale AI features without managing the underlying orchestration complexity.

Open-source framework for building and deploying production AI agents. Provides the scaffolding — tools, memory, routing — that agent developers need to ship reliably.

Platform for building internal LLM applications and workflows without custom infrastructure. Designed for enterprise teams deploying AI across their operations.

Action execution layer for AI agents — enabling agents to interact with external systems, APIs, and data sources in a structured, reliable way.

Usage-based billing infrastructure for the modern software stack, with native support for AI workload pricing models. The financial plumbing for AI-native businesses.

AI-powered documentation platform that keeps developer docs accurate and current. The surface where developers first encounter a product — built to meet them where they work.

AI system for code review and codebase search — understands the full context of a repository and surfaces relevant patterns, risks, and suggestions at review time.

Private knowledge retrieval for LLM applications — enabling enterprises to query their internal data with foundation models without exposing sensitive information to external systems.