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Welcome to Espresso AI

Espresso AI automates data warehouse performance engineering with ML to reduce Snowflake and Databricks costs. It uses intelligent agents that run continuously to optimize scaling, scheduling, and query execution, delivering savings without manual tuning.

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What it does

  • Saves up to 70% on Snowflake and Databricks spend through real-time optimization.

  • Runs autonomous agents that act like a 24/7 team of expert data engineers.

  • Charges only on realized savings (no onboarding costs, no minimums, and no commitments).

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How it works

Espresso AI deploys specialized agents that optimize how the warehouse scales, schedules, and runs queries. On Snowflake, those map to three layers:

  • Autoscaling Agent: Smarter multicluster scaling per workload using predictive models on metadata logs.

  • Scheduling Agent: Routes queries in real time to reduce idle compute and maximize utilization.

  • Query Agent (Private Preview): Optimizes SQL using LLMs with formal verification to preserve correctness.

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Why teams use it

  • Lower cloud data warehouse bills without sacrificing performance.

  • Save engineering time and scale with confidence.

  • Fast, easy setup (run a SQL command and update configs).

  • Continuous optimization across all workloads and query sources.

NextSavings Estimate Instructions

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