Frequently asked questions

Refaire's AI hardware technician reasons over vision, audio, and physics/time-series signals captured through a standard phone camera — watching for cracks or loose parts, listening for rattles or odd sounds, and reasoning about what it sees. It's the same multimodal approach a trained technician would use to look, listen, and feel for a fault, instead of just matching keywords in a written description.

Consumer and prosumer electromechanical products: e-bikes, drones, smart appliances, sewing machines, 3D printers, and small-scale lab equipment. These products get used in wildly different environments, so they need frequent hardware troubleshooting — but the root causes and fixes tend to repeat across cases, which is exactly the pattern Refaire's visual AI diagnostics are built to recognize and resolve at scale.

Pre-sale technical and compatibility questions, installation troubleshooting, and warranty/QA triage — anywhere a customer needs a fast, accurate answer about a physical product, not just after something breaks. Many teams also use it to reduce product returns caused by unresolved technical questions at checkout.

Refaire only gives a diagnosis when it's confident. When it isn't, it escalates to a human technician instead of guessing — so accuracy is a floor you can rely on, not a ceiling, and it keeps improving as your AI knowledge base grows.

Drag and drop your existing manuals, service logs, and repair history — our onboarding agent structures it into an AI-ready knowledge base for hardware repair automatically. Most customers are live within a few hours or days.

No — Refaire works through any standard phone camera and microphone. No special hardware to install, ship, or calibrate — just computer vision doing the work a technician's eyes and ears would.

Deploy Refaire as a standalone web link, a QR code, or embed it directly into your own app or support flow as an AI agent for hardware support — whichever fits how your customers already reach you.

Your knowledge base updates continuously as new service data comes in — new products, new failure modes, new fixes — so it's never a one-time training exercise.

Yes. Refaire runs in a federated, behind-the-firewall model — your raw data never leaves your environment. Only the synthesized diagnostic knowledge powers your AI hardware technician, and it's never shared across accounts.

Photo, video, and audio you submit stays in your knowledge base for as long as your account is active — it isn't deleted after each session. If you close your account, you have 30 days to export it, and we'll delete the rest within 30 days of a written request. De-identified data already used to improve our models isn't deleted along with it.

Most AI customer-service platforms automate the conversation — chat, voice, refunds, account changes — for issues a person can describe in words. Refaire is a different category: an AI hardware technician that automates the physical diagnosis underneath it, seeing and hearing the actual product to catch faults no one can describe accurately. The two are often complementary, not competing.

Most people can't accurately describe a rattling noise, a hairline crack, or a blinking light pattern in words — that's exactly the information a text-based bot never gets. Refaire's visual and audio AI diagnostics skip the translation problem entirely, diagnosing directly from what the camera and microphone pick up.

No — it multiplies their capacity. Refaire's AI hardware technician handles the first layer of diagnosis instantly, at a fraction of a technician's fully-loaded cost, letting you scale technical support without hiring for every repair that actually needs a human.

Alongside. Refaire is built to make your existing support and dealer/service network faster and more effective, not to route customers around them — think AI co-pilot, not replacement.

Refaire is the AI hardware technician that sees, hears, and diagnoses your product the way your best human technician would — at a fraction of the cost, and available 24/7.

Most customers see measurable support-cost reduction, a higher first-time fix rate, and a lift in conversion and CSAT from day one.