About Couverte

What Couverte is

Couverte is AI-powered restaurant analytics software for hotel F&B. It scores your menu, benchmarks your market, and turns the numbers into three prioritized actions a week.

It is analytics software first: it runs on your own menu, cost, and sales data and on public market data for the venues around you. The AI layer sits on top of the numbers to diagnose what is happening, rank what to do about it, and quote the expected effect as a range rather than a promise. Then it measures what actually moved.

Menu is where it starts, because a menu is the fastest place to prove value. Pricing, market position, and the weekly operating cadence follow.

Who it is for

Hotel food-and-beverage operators, hotel revenue teams, and the leadership of hospitality groups running several restaurants and bars across properties. Independent restaurants use it too. The portfolio view exists because groups need both the roll-up and the property-level detail.

How you start

With the Verdict: a free, one-time, property-specific read of your menu and market. It is a document and a decision, not a subscription. Continuous plans (Local, Boutique, Groups) come after, and only if the Verdict earned it.

Where we are, honestly

Couverte was founded in 2026 in Barcelona, Spain. It is early. We are recruiting a founding cohort of properties, and we say so rather than manufacture social proof. The sample Verdict published on this site runs on fictional sample data and is labeled as such on every page it appears; it is a worked example of the method, not a client result.

When real, measured outcomes exist, they will be published here with the same conservatism the product uses: ranges, not point estimates, and only what was actually observed.

Founder

Sagar Sharma founded Couverte after years operating in hotel and restaurant food and beverage. The product is built around the question he kept asking on the floor: what would a top-tier F&B consultant tell this property this week, and why does that advice arrive once a year in a PDF instead of continuously on live data. He writes the journal, authors the methodology, and answers hello@couverte.io himself.

How the method is kept honest

The methodology is versioned, cited, and identical for every property. Every recommendation carries its logic and its data basis. Opportunity figures follow a conservative rule: realization factors applied, a split between what we are confident is recoverable and what is identified as potential, and ranges instead of false precision. The full method is public at /methodology.