How it worksThe damage your team missed, caught automatically Damage detectionAI compares turnover photos against baseline Video walkthroughsFull-room coverage from a phone walk-through Breezeway integrationPlug into the turnover workflow you already run Chrome extensionOne-click upload from any tab Turnover checkTry it free on one property, no setup
New Cleaner Verification just shipped Changelog
Vacation rental managersCatch guest damage between back-to-back turns Hotels & resortsRoom-ready verification at housekeeping scale Large portfolios200+ units, one consistent standard Cleaners & field teamsProof the work was done, the first time
One engine, every kind of property View all industries
Content libraryEverything we know about turnover ops BlogGuides, comparisons, and deep dives Open datasetsFree STR-ops data, cited by anyone ToolsCalculators and free utilities ShowcaseReal damage RapidEye caught AboutWho we are and the McGinnis story
Free The STR-Ops open dataset corpus Browse all
BreezewaySync turnover photos from the workflow you already run SlackFlagged turns pushed straight to your channel Chrome extensionOne-click photo upload from any open tab BoomConnect RapidEye to your Boom PMS turnovers
Works with your PMS and ops stack All integrations

Research Team

Sam Parks

Co-founder, RapidEye · Research & Editorial Lead

Sam Parks is a co-founder of RapidEye and leads its research and editorial work, compiling operational data for the short-term rental and hotel industries into cited, primary-sourced references used by operators and writers. He studies Business Administration with an additional major in Human-Computer Interaction at Carnegie Mellon University.

Carnegie Mellon University $50K McGinnis Venture Competition winner HCI & AI, Class of 2027
LinkedIn Editorial process
Sam Parks, Co-founder of RapidEye
Sam Parks Co-founder · Research & Editorial

Background and expertise

What Sam works on

Sam co-founded RapidEye, the AI property-inspection platform that reads turnover photos and video walkthroughs to catch damage, missing items, and cleaning issues that manual review misses. Across the company's research library he owns the editorial side: identifying the operational questions short-term rental and hotel teams actually ask, compiling scattered public data into single cited references, and holding every figure to a named, verifiable source.

His academic focus sits at the intersection of business and human-computer interaction. At Carnegie Mellon University he studies Business Administration with an additional major in Human-Computer Interaction and a concentration in Artificial Intelligence, work centered on how people and AI systems make decisions together, which maps directly onto RapidEye's core problem: turning thousands of unreviewed property photos into decisions an operator can act on.

In 2026, Sam and co-founder Rohan Nagabhirava won $50,000 at Carnegie Mellon's McGinnis Venture Competition, the university's premier startup competition, for RapidEye. He writes and speaks regularly on visual intelligence in property operations.

Credentials

Education and recognition

Role in our research

How Sam contributes

Every RapidEye report is produced by a named team with clear responsibilities. Sam owns sourcing and editorial standards: each figure traces to a primary or clearly attributed source, cited inline at the point of the claim; where sources disagree, both ranges are shown rather than averaged; and nothing is published that cannot be verified against a public source. Read more about how we work.

For questions about our research, data quality, or a specific report, contact the team. We typically respond within one to two business days. See the full RapidEye Research library.