Espresso AI

Espresso AI is a cost-optimization tool for Snowflake and Databricks data warehouses, run by autonomous agents built on machine learning. It is aimed at data engineering and data platform teams whose Snowflake or Databricks bills are growing faster than they would like. Espresso AI positions its agents as working continuously, in place of the manual tuning data engineers would otherwise have to perform.

A Scheduling Agent autoscales warehouses and reroutes workloads, analyzing each one independently instead of applying one scaling rule to every workload, and a Query Agent rewrites SQL using large language models. Every optimized query is cross-checked with formal verification so it remains mathematically equivalent to the original. Setup requires running one SQL command and changing some configuration, rather than hiring additional data engineers or migrating to new infrastructure.

Espresso AI reports utilization gains of 25%+ from per-workload scaling and savings of up to 40%+ from real-time query routing, bringing idle warehouse time below 10%. Snowflake users typically see warehouse utilization between 40% and 60%, meaning much of their compute spend goes to idle machines; Espresso AI's neural scheduler targets that idle capacity. Across Snowflake and Databricks, the agents report cutting bills by as much as 70%.

Espresso AI bills only on realized savings, with no onboarding costs, no minimums, and no commitments: a Single-Shot plan bills 40% of the savings it generates each month with a 150% guaranteed ROI, a Double-Shot plan bills 36% of estimated annual savings upfront with a 175% guaranteed ROI, and a Cold Brew plan offers custom billing for enterprise customers. The Query Agent remains in private preview.

Use cases

• Cutting Snowflake and Databricks compute bills
• Reducing spend lost to idle warehouse capacity
• Optimizing ORM-generated and ad hoc analyst SQL queries