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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

We built a system of intelligent agents that optimize how your data warehouse scales, schedules, and runs queries. Each agent targets a specific layer: scaling and sizing, workload placement, and query structure. Together, they help your warehouse- and your data engineering team - do more with less.

  • 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.

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

  • Continuous optimization across all workloads and query sources.

  • By charging only on realized savings, ROI is guaranteed.

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