What Espresso AI does

Espresso AI is a private, Brooklyn-based software company that uses machine learning and large language models to optimize cost and performance for cloud data warehouses, primarily Snowflake and Databricks. Its core technology is a proxy-based agent system — a Query Agent and Scheduling Agent — that intercepts SQL traffic, interprets queries using LLMs, and routes each query to the most cost-efficient available warehouse cluster while autoscaling compute in real time. The company trains custom ML models on each customer's metadata to refine optimization over time, and offers deployment options including cloud-hosted and self-hosted via Helm and Terraform for AWS and Azure.

The product portfolio includes a Snowflake Optimizer claiming up to 70% bill reduction, a Databricks Optimizer claiming up to 50% reduction, a Kubernetes Scheduler for Snowflake, an on-premises proxy with a query-text-less privacy mode, and a free Snowflake Observability suite used as a lead-generation tool. Espresso AI monetizes through a performance-based "pay-for-savings" model with no onboarding fees, minimums, or commitments — the company only charges when it demonstrably reduces the customer's data warehouse bill. Go-to-market combines a consultative enterprise sales motion (demos with CEO Ben Lerner and custom savings estimates) with a self-serve PLG path (free savings estimate, SQL-based setup) and a free observability funnel targeting top-of-funnel data teams.

The company is venture-backed with over $11 million in seed and pre-seed funding from FirstMark Capital (Matt Turck), Daniel Gross, and Nat Friedman, and is led by three ex-Google co-founders including CEO Ben Lerner, who previously did LLM cost optimization work with DeepMind. Espresso Computing, Inc. holds SOC 2 Type II, HIPAA, and GDPR compliance and sells into a horizontal mix of mid-market and enterprise customers across financial services, e-commerce, technology, and education/credentials verticals.

Name

Espresso AI

Legal name

Espresso Computing, Inc.

Website

https://espresso.ai

Company type

Private

Founded year

2024

Operating status

Operating

Headcount range

1–10 employees

Short description

Espresso AI is an ML- and LLM-driven platform that autonomously optimizes Snowflake and Databricks data warehouses in real time, using a pay-for-savings pricing model to cut cloud compute costs for mid-market and enterprise data teams.

Ownership category

akta.pro rank

Product category

Cloud Data Warehouse Cost Optimization

NAICS

Software Publishers (513210)

SIC

Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

AI Compiler, Runtime & Kernel Optimization Software (CUDA/ROCm/XLA, graph compilers) (HDAAAAAI)

akta.pro secondary industry

End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)

Keywords

• Data warehouse optimization
• Cloud cost reduction
• Snowflake optimization
• Databricks cost savings
• AI infrastructure automation

Headquarters

HQ city

New York

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure

Revenue model

1. Performance-based Savings Model: Espresso AI charges based on the savings they generate for customers. No onboarding costs, no minimums, and no commitments. If they don't save money, they don't charge. This aligns incentives and reduces customer risk.

Pricing tiers

Go-to-market motion2 records

Distribution channels3 records

Marketing channels5 records

Core offering

Espresso AI provides ML-driven software that autonomously optimizes Snowflake and Databricks data warehouse workloads in real time. The platform uses proprietary neural scheduling models trained on customer-specific metadata to route queries, scale warehouses, and reduce cloud compute spend by up to 70%. Customers are charged on a performance basis only when savings are actually achieved, with deployment via a proxy architecture requiring minimal configuration changes.

Product overview

Espresso AI is an LLM-driven cost optimization platform for data warehouses, offering a unified platform that includes the Snowflake Optimizer and Databricks Optimizer. The platform uses ML models trained on metadata to make real-time optimization decisions, functioning like a team of world-class data engineers working 24/7. Customers can save up to 70% on Snowflake and up to 50% on Databricks bills. Additional offerings include the Kubernetes Scheduler for Snowflake for intelligent query routing, Free Snowflake Observability tooling, and On-Premises Proxy Deployment for enterprise customers requiring enhanced data privacy. The platform integrates with tools like dbt, Fivetran, Airflow, Hex, and Looker through proxy onboarding.

Differentiator

Problem solved

Functional benefit

Products and services

• Snowflake Optimizer
• Databricks Optimizer
• Kubernetes Scheduler for Snowflake
• Free Snowflake Observability

Quantifiable outcome

• Save up to 70% on Snowflake and Databricks bills
• +4 more outcomes

Named customers7 records

Segments3 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration8 records

AI capability5 records

Feature5 records

Partnerships

One partnership is on record.

• Monte CarlosecondaryGTM or Marketing PartnerEspresso AI co-hosts events with Monte Carlo at industry conferences, including the Soiree at Caf(AI) during Data + AI Summit 2026. Monte Carlo is a data observability company.

Scale indicators5 records

Recent moves6 records

Expansion highlights6 records

Broad incumbents

• Apptio (IBM): Apptio, now an IBM company, is a FinOps and IT financial management platform with cloud cost optimization capabilities. It represents a large incumbent alternative for enterprises seeking a system-of-record approach to cloud spend management.
• Spot.io (NetApp Spot): Spot (now part of NetApp) provides cloud infrastructure optimization, including data workload cost management. It is comparable as a large-scale FinOps and cloud optimization incumbent with overlapping capabilities.

Direct peers

• Vantage: Vantage is a cloud cost observability and optimization platform covering AWS, Snowflake, and other data services. It overlaps with Espresso in Snowflake cost reporting and recommendations, with a broader FinOps scope.
• Keebo: Keebo applies ML to data warehouse cost optimization, particularly Snowflake, with automated tuning and learning-based recommendations. It competes head-to-head with Espresso in the same ML-driven Snowflake optimization category.
• ProsperOps: ProsperOps automates Snowflake and Databricks cost optimization through committed spend management and ML-driven discount allocation. It is the most direct competitive analog to Espresso AI, addressing the same buyer and pain point with a similar outcome-based orientation.
• CloudZero: CloudZero provides cloud cost intelligence and optimization across AWS, Azure, GCP, and data services including Snowflake. It is a listed Espresso customer logo, indicating the platforms are evaluated as adjacent/competing solutions in FinOps buying cycles.

Emerging players

• Zesty: Zesty optimizes cloud compute and storage spend with ML-driven autoscaling, increasingly extending into data and AI workloads. It is comparable as an ML-driven cost optimization platform targeting the same FinOps buyer, though with a broader cloud focus.
• Cast AI: Cast AI automates Kubernetes cost optimization and performance with ML-driven autoscaling and rightsizing. It is comparable as an ML-driven, outcome-oriented cost optimization platform for cloud workloads, with growing relevance to the data infrastructure stack.
• Kubecost: Kubecost provides Kubernetes cost monitoring and optimization, with expansion into broader data workload cost management. It is comparable as a workload-level cost optimization platform using ML and observability.

Others

• Monte Carlo Data: Monte Carlo is a data observability platform that is a co-marketing partner of Espresso AI and addresses adjacent pain points in the modern data stack. While not a direct cost optimizer, it competes for the same data team budget and is often evaluated alongside Espresso.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat5 records

Key risks5 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/espresso-ai
• Xx.com/espresso_ai

Compliance3 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles4 records

Funding overview

Funding rounds2 records

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Espresso AI