Espresso

Espresso is an analytics tool. Espresso AI uses machine learning agents to optimize Snowflake and Databricks workloads in real time, with the vendor claiming savings of up to 70%. Setup is described as one SQL command plus configuration changes, and billing is tied to realized savings with no onboarding fees or minimum commitments.

Espresso AI is a cost optimization layer for cloud data warehouses. Its machine learning agents continuously tune the way Snowflake and Databricks workloads execute, aiming to reduce compute spend without requiring teams to rewrite queries or restructure their data models. The company positions the product as an automated performance engineering service, comparable to a data engineering team watching the warehouse around the clock. The setup is deliberately lightweight. According to the vendor, onboarding amounts to running a single SQL command and adjusting some configuration settings, rather than migrating platforms or hiring additional staff. Once connected, the agents operate autonomously and apply optimizations in real time. Espresso frames this as a way to reclaim engineering hours that would otherwise go into managing execution times and cost-related technical debt. The commercial model is tied to results. Espresso states that it charges only on savings, with no onboarding fees, minimums or commitments, so a customer pays nothing if the bill does not drop. The homepage claims reductions of up to 70% and cites customers describing cuts of roughly half. Published case studies cover companies including Goldbelly, Babylist, Koalafi, Accredible, Minerva, Onward and Black Crow. This fits data platform and analytics engineering teams whose warehouse costs are climbing faster than usage justifies, and who want relief without a re-architecture project. It is not a general analytics or business intelligence tool: it sits beneath existing workloads as an optimization layer. Teams that need granular query-level authoring control or who run warehouses other than Snowflake and Databricks will find the scope narrower than a full data operations suite. Note that Espresso sits outside the creativity categories suggested for this listing; it is an infrastructure cost tool and is categorized here under analytics and productivity.