Most apps show what’s popular.
Srvn learns what you’d actually like.
An AI dining agent built on a personal taste graph that compounds with every meal.
Restaurant choice is still broken.
The issue is not a lack of places. It is scattered, low-trust, non-personal information.
Generic scores don't explain whether a place fits your taste.
Great for inspiration, weak at turning desire into a dinner decision.
Shows what's close or popular, not what this person or group should choose.
Endless back-and-forth with no memory of the last meal.
The problem is not discovery. It’s decision-making.
It reads the full picture.
Personal taste signals+friend & group context+restaurant and dish data+occasion, budget, location, vibe+past decisions
The first real taste graph for food.
The moat isn’t the interface. It’s the compounding memory created from repeated dining decisions.
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