Run tabular foundation models on your data, before you commit to anything.

We're working with a small number of technology companies that have a real predictive workload (fraud, churn, recommendations, forecasting or anomaly detection) and a small, or no, ML team.

What you get

1. 01
   Benchmark on your historical data

   We evaluate against your current system (rules, in-house model or vendor) on the same holdout.
2. 02
   Shadow test against production

   Mirror live traffic to a challenger. Your customers keep getting your current responses.
3. 03
   Direct line to the founders

   A shared channel, fast iterations, and influence over what we build next.