v1.0 — Built for operators

Reviews, decoded.
Problems, prioritized.

Customers don't write tickets. They write rambling sentences. Revly's AI splits every review into atomic insights and groups them into themes — so you stop guessing what to fix.

Join the waitlist →See how the AI thinks
Review #4127Processed in 0.3s

"The pasta was incredible and our waiter Marco was so warm — but the music was way too loud and we waited 25 minutes for the bill."

+The pasta was incredible
Food
+Waiter Marco was so warm
Service
−Music was way too loud
Atmosphere
−Waited 25 min for the bill
Service
loud music ●warm staff ●cold soup ●great cocktails ●slow Wi-Fi ●cozy lighting ●overpriced wine ●perfect bread ●rude host ●amazing tiramisu ●loud music ●warm staff ●cold soup ●great cocktails ●slow Wi-Fi ●cozy lighting ●overpriced wine ●perfect bread ●rude host ●amazing tiramisu ●

01 — How it works

From a sentence to a strategy.

Step 01

Collect

Pull reviews from Google, Yelp, TripAdvisor, your own forms — automatically.

Step 02

Split

AI breaks each review into atomic statements. Each one is tagged with topic and sentiment.

Step 03

Cluster

Atoms are grouped by topic and sentiment. New themes emerge as customers speak.

Step 04

Act

See ranked problems with quotes attached. Assign, fix, watch the cluster shrink.

02 — The dashboard

Stop reading.
Start fixing.

Every cluster is a real problem with real quotes. Sorted by volume and momentum, so the loudest pain floats to the top.

● ● ●revly.app / Lumière Bistro / last 30 days1,284 reviews

Atmosphere · Noise

+38%
142
mentions
...the music was way too loud, couldn't hear my date.

Service · Wait time

+12%
97
mentions
...waited almost half an hour just to pay.

Food · Pasta

+4%
211
mentions
...the cacio e pepe was honestly perfect.

Pricing · Drinks

+22%
64
mentions
...$22 for a glass of house red? come on.

03 — From an operator

"We thought our food was the issue.
Turns out 87% of complaints were about noise. Fixed the ceiling panels. Ratings up 0.6 stars in a month."

Hear what your
customers actually mean.

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