Flora

Flora is a platform for designing, orchestrating, and deploying generative AI workflows at scale. It enables teams to move beyond single prompts or isolated models and instead build structured, multi-step workflows that combine large language models, tools, and data sources. The primary purpose of Flora is to help organizations operationalize generative AI in a reliable, repeatable, and governed way across products and internal processes.

Flora provides a visual and modular workflow builder, allowing users to define complex pipelines that include prompt templates, branching logic, human-in-the-loop review, and integration with external APIs or internal systems. It supports versioning, testing, and evaluation of workflows so teams can compare model variants, monitor quality, and roll out improvements safely. Centralized configuration and environment management make it easier to move from experimentation to production without rewriting logic. Flora also offers observability features such as logging, metrics, and tracing, enabling teams to track performance, detect failures, and enforce compliance or safety constraints.