Espresso AI, a startup focused on optimizing cloud compute costs, has emerged from stealth with USD 11 million in pre-seed and seed funding. The funding rounds were led by Daniel Gross, Nat Friedman, and Matt Turck from FirstMark.
The fresh funds will accelerate product development and strengthen its go-to-market strategies.
Espresso AI automates code optimization using LLMs and ML, aiming to reduce cloud compute costs by up to 80%. It currently analyzes and optimizes queries for Snowflake , a leading cloud data warehousing platform, and plans to expand its service to other SQL data warehouses.
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