Refaire helps hardware companies automate product technical support when issues require physical diagnosis. Customers' "facetime" to show and describe the problem, and Refaire uses vision, voice, and product knowledge to diagnose issues, guide troubleshooting, recommend the right parts or services, and escalate to a human with full session context.
Hi Everyone,
I'm Brett, co-founder of Refaire.
We built this after spending way too many hours poring through repair videos, dead-end Google searches, and AI sessions trying to fix things around our homes. The parts were hard to find, the troubleshooting guides were sparse or didn't match our situation, and support teams couldn't see what we were looking at. We knew there had to be a better way.
That experience drove us to build Refaire, an AI technician for the physical world.
We help hardware companies support their customers better: "facetime" experience capturing visual, audio, and voice data, guided troubleshooting, parts and service recommendations, and human handoff, if needed, with full context, all in one flow. The goal is faster resolutions for customers and lower costs for support teams, while helping brands recover revenue through parts and service when it makes sense.
We're especially looking for feedback from teams supporting appliances, electronics, mobility products, or anything else with a plug or a motor. If that's you, we'd love to hear what's broken about support today.
