RapidEye plugs into the tools you already run.
You should not have to change how your cleaners work to get automated damage detection. RapidEye reads the turnover photos your team already captures, slots into the platforms you already pay for, and pushes what it finds to where your team already looks.
Breezeway Turnover ops
Most RapidEye customers run their turnovers in Breezeway, so RapidEye is built to sit on top of that workflow rather than replace it. Your cleaners keep documenting turns in Breezeway exactly as they do today; RapidEye reads those same photos and flags the damage.
- Works from the turnover photos your team already captures in Breezeway
- No change to how cleaners are assigned, scheduled, or documented
- Damage is compared against a per-property baseline, room by room
Slack Alerts
When RapidEye flags a turn, the people who need to act on it should hear about it without logging into another dashboard. Flagged turns are delivered to the Slack channel your operations team already lives in.
- Flagged turns pushed to the channel you choose
- The damage evidence travels with the alert, so the next step is one tap
- Prefer email? The same alerts can go to an inbox instead
Chrome extension Upload
The RapidEye Chrome extension is the fastest way to get photos into RapidEye from whatever tab you are already in. No export step, no switching apps, one click from the turnover you are looking at.
- Send turnover photos to RapidEye in one click from any open tab
- Built to sit alongside the tools you review turns in
- Free to install from the Chrome Web Store
Boom PMS
Boom is an AI-native property management system for short-term rentals. RapidEye works with Boom so the turnover documentation flowing through your PMS turns into inspection intelligence, without adding another system for your team to manage.
- Works with the turnovers you already manage in Boom
- One less tool for your team to log into
Don't see your tool?
Tell us what you run, your PMS, your channels, your ops stack, and we'll tell you how RapidEye fits. New integrations are driven by what operators actually ask for.