Every restaurant operator already knows their internal numbers: covers, average tickets, labor costs, and delivery mix. What they can't see is the broader market context.
When a month is weak, the question is always the same: is this an internal failure, or a market-wide slump? They lack a view on whether they are priced correctly relative to other venues, what local labor actually costs, or where the next logical site should be.
Hotels solved this decades ago. STR provided every hotel with real-time benchmarking against its competitive set. The restaurant sector is larger and more fragmented, and has nothing comparable.
Gossip, gut feel, guesswork
Restaurants do market intelligence. They just do it badly. When things go off, operators fall back on a manual workflow:
- Calling other restaurateurs for anecdotes
- Asking supplier account managers for "vibes" on the market
- Manually scrolling delivery apps and review platforms
- Scanning public filings or counting physical receipts
Operators care deeply about external data, but their current process is messy, anecdotal, and impossible to scale. We're solving this for them.
Answers, not analytics
Operators don't need more "data"; they need reliable answers to concrete questions:
Are we underperforming, or is the whole neighbourhood down?
What should we pay staff to ensure retention, not just hiring?
Which days and hours are actually worth operating in this climate?
Where is the real expansion opportunity for our specific format?
We're not building another dashboard that asks the user to do the analytical heavy lifting. We're delivering specific, plain-language answers to the recurring decisions that shape revenue and margin.
A market analyst for every restaurant
Each restaurant gets an AI agent that knows its market, competitors, and neighbourhood — and can answer questions, build reports, and surface what matters.
We set up the market context. Superextra maps the restaurant's competitive set, trade area, cuisine cohort, and pricing tier. The operator does not build anything from scratch.
The agent delivers tailored analysis. Reports, interactive dashboards, and deep dives — all generated around the specific questions the restaurant is asking.
We keep the intelligence current. Markets move. Competitors open and close. Prices shift. Sentiment changes. Superextra monitors those changes and turns them into ongoing updates.
The goal is to give context, so an operator can move from I think this is happening to I know what is happening, and I know what to do next.
Every signal, one place
We aggregate signals from dozens of external sources—including discovery platforms, delivery apps, menus, reviews, hiring boards, registries, and foot traffic patterns—to build seven connected layers of intelligence:
| Market Landscape | Openings, closings, saturation, and "white space" analysis. |
| Menu & Pricing | Competitor trends, delivery markups, and promotional activity. |
| Revenue & Sales | Estimates for comparable venues, seasonality, and channel splits. |
| Guest Intelligence | Deep sentiment analysis across the competitive set. |
| Location & Traffic | Trade area demographics and seasonal foot traffic shifts. |
| Marketing & Digital | Competitor social signals and demand-generation effectiveness. |
| Operations | Local labor salary benchmarks and supplier pricing signals. |
Every layer feeds into the agents so their answers are grounded in real data, not hallucinations.
It's never been possible before
This opportunity exists now because the information trail is already there. For years, it was too fragmented to turn into something reliable without a lot of manual work.
What has changed is the ability to connect scattered entities, structure noisy signals, maintain them over time, and deliver the output in plain language instead of raw analysis.
That is why our AI models materially change the economics. They make the full chain viable:
- Collect and refresh external market signals continuously
- Connect them into a usable market map
- Synthesise them into benchmarked intelligence
- Deliver them in a form an operator can act on quickly
That combination is what makes our product possible now in a way it was not a few years ago.
Built for the operators who need it most
We're starting with small multi-venue operators (groups with 2–5 locations). These businesses sit right in the sweet spot.
They make consequential decisions on pricing and expansion, and feel the immediate cost of getting those decisions wrong. They're large enough to value professional intelligence but too small to have in-house analysts.
Our pricing: €899 setup fee + €299 quarterly subscription per location.
Superextra was pulled into existence
Our founding team previously built Everytap and Finebite, working with over 2,500 restaurants and 2 million guests.
This product is a direct response to years of operators asking us the same questions: What are my competitors doing? How should I price this? Where do I go next? This history gives us a massive head start in access, pattern recognition, and distribution.
We aren't entering this category cold.
A large market is hiding behind a messy workflow
Restaurants are already paying for market intelligence. They spend 2–3 hours of management time every week, pay consultant fees and agency retainers.
Existing solutions validate pieces of the demand, but the category remains open. Some players are US-centric. Some are enterprise-heavy. Some are tied to internal systems. Some solve only one narrow function.
There is a gap for a Europe-first product built specifically for restaurant operators and centred on external market context rather than internal system data.
That is the position we are taking.
Every restaurant will need this
We are building a piece of infrastructure that every restaurant will eventually rely on for market context with the same confidence they have in their own bank balance.
Our ambition is to become the definitive external intelligence layer for the industry. Internal systems tell operators what happened. Superextra tells them why it happened and what is changing next.
That is the company we are building.