ORCFLO provides a no‑code visual canvas for building and running multi‑step AI workflows, letting users drag‑and‑drop AI models and integrations with tools like Gmail, Notion, and Google Drive.
Funding
Funding not disclosed
Founders
Product
Problem
Knowledge workers rely on separate chat interfaces and manual copy‑paste to perform multi‑step AI tasks, which leads to fragmented workflows, loss of context, and difficulty reproducing results at scale.
Solution
ORCFLO offers a visual, no‑code canvas where users can assemble multi‑step AI workflows by dragging and dropping nodes that represent AI models (e.g., Gemini, GPT‑5.5, Claude) and productivity tools such as Gmail, Google Drive, Notion, and many others. The platform handles all infrastructure, API keys, and billing, allowing immediate execution of complex sequences like web research, report drafting, and content polishing. Users can select different models per step, inspect full outputs, compare runs, and restart from any point, providing transparency and repeatability. A free tier with 500 credits enables instant trial, while usage‑based pricing scales with credit consumption.
Target Audience
Primary users are knowledge workers and professionals—executives, analysts, creators, and consultants—who need repeatable, transparent AI‑assisted processes, as well as teams in enterprises seeking to embed AI workflows into existing productivity suites.
Features
- Visual canvas for building, editing, and running multi‑step workflows without writing code
- Per‑step model selection supporting major providers (OpenAI, Anthropic, Google, Mistral) and easy swapping of models
- Built‑in integrations with hundreds of apps (Gmail, Outlook, Notion, Slack, Salesforce, etc.) via Composio connectors
- Real‑time execution with one‑click run, mid‑flow restart, and scheduled triggers (cron/interval)
- Full transparency: view prompts, tool calls, raw model responses, credits used, and side‑by‑side run comparisons
- Credit‑based pricing with itemized usage, overage rates, and no hidden fees
- Human‑in‑loop controls such as approval steps and approval gating for safe autonomous actions