Process optimization
Parameter tuning & yield lift
How a run goes
The steps this agent takes, in order, and what each one leaves behind.
Models yield against process parameters
Recommends recipe parameter changes that lift yield
Ranks candidate adjustments by expected lift
Quantifies the expected gain and the risk of each change
Monitors the post-change cohort
Tracks whether the change held after deployment
Works in
Snowflake, Databricks, Tableau
Snowflake, Databricks, TableauWhat it does
- Recommends recipe parameter changes that lift yield
- Quantifies the expected gain and the risk of each change
- Tracks whether the change held after deployment
Connects to
Need it to work differently?
Every agent can be changed: the steps it takes, the systems it uses and who approves what.