Concrete

Concrete is an AI-powered environment for building, running, and iterating on complex workflows, agents, and data pipelines. It provides a programmable interface for orchestrating LLMs, tools, APIs, and custom logic in a single, cohesive system. The primary purpose of Concrete is to help teams design reliable AI workflows that are versioned, testable, and production-ready from the start.

Concrete offers a composable graph-based model for defining workflows, allowing users to chain models, functions, and external services with clear data flow and control logic. It supports configuration-as-code, enabling teams to define workflows in a structured, declarative format that integrates with existing repositories and CI/CD pipelines. Built-in observability tools let users inspect inputs, outputs, intermediate states, and errors, making debugging and optimization more systematic. Concrete also emphasizes reproducibility, with versioning and environment controls that ensure workflows behave consistently across development, staging, and production.