Airflo AI

Automation Built From Simply Observing

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Forget the old-school RPA that breaks when someone sneezes near a workflow, or “AI agents” that live and die inside a browser tab. Airflo creates adaptive, self-healing automations powered by proprietary Small Action Models (SAMs) that understand intent, context, and steps. This allows organizations to transform any workflow into resilient, learning automation in minutes—running on-prem or in the cloud, fully enterprise-ready. We’re not automating tasks, we’re teaching machines how to work.
Airflo AI gallery image
Airflo AI gallery image
Airflo AI gallery image
Airflo AI gallery image
Airflo AI gallery image
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Launch tags:Productivity•Robots•Artificial Intelligence
Launch Team / Built With
AssemblyAI
AssemblyAI
Build voice AI apps with a single API
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What do you think? …

Carla Marzari
Maker
📌
Hey Product Hunt! I’m Carla, cofounder (and CTO) of Airflo AI -- automation at the speed of observation. 🚀 We’re a tiny but mighty team of three -- myself, Sam, and Ritchie -- here to revolutionize automation. Sam and I have collectively spent 20 years in R&D across RPA, AI, and agentic automation, and we’ve seen firsthand how rigid and fragile traditional automation can be. We watched customers wrestle with brittle RPA tools that broke if someone so much as sneezed near a workflow, so we decided to fix it. Airflo is the result -- a platform where AI agents learn by watching humans work. No APIs, no scripts, no developer army required. Using pure computer vision, Airflo runs anywhere, even in on-prem environments where cloud tools can’t go. If a human can do it on a computer, Airflo can too. We’d love your thoughts, feedback, or wild automation ideas -- drop them below! Let’s make self-healing, human-aware automation the new normal.