WHAT WE KNOW.
WHY IT MATTERS.
Research, analysis, and field intelligence from the superGM.ai team — covering the questions operators are asking and the knowledge gaps the current category cannot fill.
New Entrant. Same Architecture.
When a new platform enters the restaurant analytics market with the same underlying architecture as the platforms that have been there for twenty years, it tell...
The Wrapper Question: What Is Your Restaurant AI Platform Actually Built On?
The most important architectural question to ask any restaurant AI platform is not what it does — it is what it is built on. The answer determines whether the i...
Everyone Is Predicting. Nobody Is Seeing.
The restaurant AI market operates in two tenses. Legacy platforms report what happened. AI upstarts predict what is probably going to happen. Neither of them bu...
Seventy Integrations. One Human. Zero Actions.
There is a category of restaurant technology platform whose entire product is the pipe. They connect to your POS, your labor platform, your inventory tool, your...
A Letter to the Restaurant AI Vendors
This letter is addressed to the teams behind the decision intelligence platforms, the observability tools, the management suites, the benchmarking products, and...
Why Everything Built on Snowflake Was Already Behind
A significant portion of the restaurant AI market is built on the same foundation: Snowflake or BigQuery as the warehouse, a transformation layer on top, and a ...
Empathic Intelligence: The Architecture Built for People Who Carry the Weight
In 1997, a researcher at MIT published a paper — the foundational argument that machines serving humans must model human emotional and cognitive context, not ju...
MOST OPERATORS
WHO APPLY
WILL NOT BE SELECTED.
We work with operators whose operation, culture, and competitive position fit what we built this for. We review every application individually. We select from the backlog.
If you are reading this because a competitor sent it to you, they may already be in production. We don’t confirm or deny active deployments.