Built by researchers, for operators
RapidEye is the inspection layer for property operations. We read the turnover photos and walkthrough videos your teams already capture and surface the damage, missing items, and quality issues that slip past manual review, so condition gets verified on every property instead of spot-checked when someone has a spare moment.
Operations don't break because operators stop caring. They break because nobody can review everything. RapidEye fixes that layer.
Our Mission
We believe property condition should be something you can measure, not something you hope held up after checkout.
Operators already capture more documentation than any human can review, and that gap only widens as a portfolio grows. Damage slips through, and the first anyone hears of it is a guest review or a chargeback.
Our mission is to remove the review bottleneck entirely, so every turnover gets inspected automatically. Quality stops slipping as you scale. Damage gets caught before the next guest. Cleaner accountability becomes a number instead of a hunch.
Photos are only the start. As capture moves to video walkthroughs and spatial scans, inspection becomes a standard layer in every operation, the same way booking and messaging did before it.
Because the future of short-term rentals isn't just bigger portfolios. It's properties that stay in the condition guests were promised.
What RapidEye Does
Damage detection
RapidEye reads the turnover photos and walkthrough videos your teams already capture and flags damage, missing items, and wear before the next guest arrives, with the evidence frame attached. Operators find out from a report, not from a guest review or a chargeback.
Cleaning and standards verification
Every checklist item a cleaner ticks is verified against the walkthrough video, so "checked off" and "done" stop being different things. Misses get a nudge while the cleaner is still in the unit.
Cleaner and property analytics
Every inspection rolls up into per-cleaner and per-property analytics: guest-ready rates, recording habits, and recurring issues, exportable as a PDF for owner updates and vendor check-ins.
What Makes RapidEye Different
Built on evidence, not self-reports
Most quality tooling counts completed tasks and ticked checkboxes, which is the field team's own report. RapidEye inspects the photos and video themselves, so results reflect what the property actually looked like.
Every turnover, not a sample
Manual inspection programs see the properties an inspector had time to visit. RapidEye reviews every photo set and walkthrough it receives, so nothing depends on a spot-check.
Nothing new for field teams
Cleaners and inspectors keep capturing what they already capture. There is no extra photo protocol, no rating step, and no scoring for managers to fill in.
Research-grade computer vision
The detection engine is built on the founders' Carnegie Mellon research in computer vision and spatial AI, and the team holds multiple patents in AI inspection technology.
Who Uses RapidEye
- Vacation rental operations managers running turnovers across dozens to hundreds of homes
- Hotel housekeeping operations verifying room-readiness across staff at scale
- Housekeeping and inspection leads managing in-house cleaners or outside cleaning vendors
- Property management owners who report property condition to homeowners
How Working With RapidEye Works
Your teams finish a turnover or room check and capture photos or a walkthrough video the way they already do. RapidEye inspects each submission and returns a report: what passed, what was flagged, and the evidence behind each finding. Flags reach you where you already work, in the RapidEye dashboard or pushed to your existing channels, and analytics accumulate automatically from there.
Onboarding is run directly by the co-founders: you talk to Sam or Rohan, not a sales team, and the fastest way to start is a demo on your own properties' photos.
Founders
Rohan leads RapidEye's technology. His Carnegie Mellon research spans computer vision, spatial AI, and robotics, the foundation the detection engine is built on.
Sam leads product and go-to-market. His Carnegie Mellon research spans vision-language models, human-computer interaction, and product design, and he spends his time with operators making sure RapidEye fits how turnover teams already work.
Both founders are Carnegie Mellon researchers, and the team holds multiple patents in AI inspection technology, the core IP RapidEye is built on.
Company
Frequently Asked Questions
What is RapidEye?
RapidEye is AI-powered inspection intelligence for physical spaces. It analyzes the turnover photos and walkthrough videos property teams already capture to catch damage, missing items, missed cleaning, and standards not met.
Who founded RapidEye?
RapidEye was co-founded in 2025 by Rohan Nagabhirava (CEO) and Sam Parks (COO and Head of Product), both Carnegie Mellon researchers. The company won the $50,000 McGinnis Venture Competition at Carnegie Mellon in 2026.
Does RapidEye work with the software we already use?
Yes. RapidEye reads the photos and video from the workflow you already run and returns findings where you already work, alongside your PMS and operations tools. See the integrations page for how it fits your stack.
Do our cleaners have to change how they work?
No. RapidEye is built from the photos and walkthrough videos cleaners already capture during turnovers. There is no extra photo protocol and no rating step for anyone to fill in.
Where is RapidEye based?
RapidEye Inspections Inc. was founded in Pittsburgh, PA, out of Carnegie Mellon University. You can reach the team at support@rapideyeinspections.com.
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