Tabular data is so ready for disruption.

Structured/tabular data is now getting its own foundation-model moment.

@synthefyinc just launched a foundation-model platform for structured numerical data where tables, transactions, sensor readings and time series should not need a separately trained model for every prediction problem.

Nori is applying an idea we now associate with reasoning LLMs to tabular prediction.

With Synthefy: New dataset → give Nori some labeled rows → ask it to predict new rows.

A tiny 30 mn param, Nori-30M rivals Google's 1.6-bn-parameter TabFM across public regression benchmarks

This will be highly impactful because the industrial world relies far less on textual data and more on transactions, sensor readings, trades, inventory, customer records, and time series.

And they just raised $6.5M seed round.