ORCFLO is the visual platform for building production-grade AI workflows.
Most teams hit the same wall with AI: prototypes work in a chat window, but turning them into reliable, repeatable automations means stitching together LLM APIs, orchestration code, queues, retries, and observability - and rebuilding it every time a model changes.
ORCFLO solves that. Design multi-step AI workflows on a visual canvas, route between Claude, GPT, and other leading models, and connect to your tools and data. No glue code, no infrastructure to manage.
What you can build:
Content generation and editorial pipelines
Document processing and data extraction
Customer support triage and response
Research, analysis, and competitive intelligence
Marketing automation with AI-native steps
What makes ORCFLO different:
Visual-first, not code-first - design workflows by dragging steps, not writing JSON or Python
Multi-model by default - pick the right LLM for each step, switch providers without rewriting
Real-time observability - watch every execution step-by-step, replay any run, inspect every input and output
Built-in AI copilot - an in-app assistant that helps you design, debug, and optimize workflows
Blueprint library - start from proven templates instead of a blank canvas
Human Approvals - pause execution to approve LLM output or tool calls, via slack, discord, or in-app.
From prototype to production in minutes - without the engineering tax.
