How it works

One loop that keeps every device smarter.

Add your data once. RageEdge trains a model on it, shrinks it for each device, delivers it over the air and brings wrong answers back to the right team. Then it does it again, every time you improve.

  1. Train01
  2. Shrink02
  3. Deliver03
  4. Run offline04
  5. Report05

01Upload. Choose. Train.

Train on your data

Upload service manuals, product catalogues, support tickets, SOPs and images, in the languages your people use. Choose where training runs: on your own premises, in your own cloud account, or in RageEdge Cloud. Your data never has to move somewhere it isn’t allowed to go.

  • PDFs, documents, spreadsheets, tickets and images
  • On-premises, your AWS, Azure or Google Cloud, or ours
  • Only the roles you choose can start a training run

02Compress. Score. Sign.

Shrink it to fit

A phone, a car and a camera gateway don’t have the same memory or chip. RageEdge compresses the model separately for each one, then scores every version on your own test questions so you can see exactly how much accuracy was kept before anything ships.

  • One build per device class, sized to its memory
  • Uses the device’s NPU, GPU or CPU automatically
  • Accuracy report on your own test questions

03Stage. Deliver. Rollback.

Deliver automatically

When a version passes your checks, every device downloads it on its own, in the background, the next time it has a connection. Rollouts start with a small group and widen in stages. If anything looks wrong, one click puts every device back on the previous version.

  • Staged rollout: 5%, 25%, then everyone
  • Devices download only what changed
  • One-click rollback, kept ready for 30 days

04Ask. Answer. Offline.

Run offline

The model lives inside your app, on the device. People ask in plain words, typed or spoken, and the first word of the answer appears in about a second, with or without a signal. Questions and answers stay on the device.

  • Your own white-label app, or our SDK in your app
  • Phones, tablets, desktops, cars, kiosks and IoT
  • Answers point to the page they came from

05Report. Route. Fix.

Report and improve

When an answer is wrong, the user taps Report. The report goes straight to the team that owns that knowledge, whether that’s service, sales or HR, with the question, the answer and the version. They fix the source data, the next version trains, and every device gets the fix.

  • One tap for the user, no forms
  • Routing rules per team, topic or site
  • Each report is closed by the version that fixed it
Questions

About the loop

Put AI where your work happens.

Pick one team and one use case. We’ll have it running on your own devices in weeks.

Not sure if RageEdge AI is what you need?

Ask ChatGPT, Claude or Perplexity and see what they think. One click, instant insight.