Espresso AI

Espresso AI uses generative AI to optimize data warehouses. We save customers up to 70% on Snowflake.

Espresso AI specializes in optimizing data warehouse operations, primarily focusing on reducing costs and improving efficiency for Snowflake users.

Platforms to make the most of cloud infrastructure

Cloud Optimization Tools

Espresso AI emerges from stealth with $11M to tackle the cloud cost crisis

Espresso AI specializes in optimizing data warehouse operations, primarily focusing on reducing costs and improving efficiency for Snowflake users.Espresso AI automates code optimization using large language models (LLMs) and machine learning (ML), aiming to reduce cloud compute costs. 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. Its core product is a generative AI-powered optimization platform designed to streamline and enhance SQL queries.This platform leverages LLMs to automatically refactor queries, boosting performance while cutting costs. It performs query optimization by analyzing and optimizing queries sent to Snowflake, reducing execution times and computational load.

Harness is a cloud-based end-to-end software delivery platform that provides cloud cost management (CCM), among other modules.Harness CCM offers a holistic set of features to facilitate cost optimization of the development pipeline. It provides a single customizable dashboard to unify data and insights across multiple departments and cloud vendors. Further, it delivers automated anomaly detection and resource allocation to optimize continuous delivery (CD) workflows and allows for seamless integration with existing monitoring tools for an overview of cloud spend.In <a href="http://v">January 2024</a>, Harness acquired Armory, a continuous delivery platform company, for USD 7 million, with plans to integrate some of Armory’s technology into its products. Furthermore, in <a href="https://sp-edge.com/updates/29964">May 2024</a>, it acquired Split Software, a company specializing in feature management and experimentation, for an undisclosed sum. Harness aimed to integrate Split's feature management and experimentation capabilities into its software delivery platform to offer a comprehensively integrated solution that allows software teams to build, deploy, test, and refine software features efficiently and effectively.Harness operates a consumption-based sales model with pricing based on the annual cloud spend.Key customers and partnershipsHarness CCM’s clientele ranges from individuals to large-scale enterprises across various industries, including healthcare, IT, finance, service, and SaaS. Notable customers include Synopsys, Relativity, Discover Dollar, and Carvana.Harness collaborates with many industry leaders to ensure wide service provision and integrations with various tools and platforms. Some of its key technology partners are HashiCorp, Benchmark, and Insight.

Harness

Cloudchipr is a company specializing in cloud cost optimization and automation solutions.CloudChippr helps businesses reduce cloud expenses by identifying inefficiencies and recommending cost-saving measures. It provides real-time insights into cloud usage, automates cost allocation, and offers actionable recommendations for optimizing resources. Additionally, CloudChippr simplifies cloud management by integrating with popular cloud platforms, enabling organizations to maximize their cloud investments and minimize waste while ensuring optimal performance across cloud environments.Cloudchipr adopts a subscription-based approach.Key customers and partnershipsCloudchipr’s customer base includes DISQO, ServiceTitan, Activeloop, AimHub, Podcastle, and SuperAnnotate.Cloudchipr Cloud provides native integrations with AWS, Azure, and Google Cloud.

Cloudchipr

Vega Cloud is a technology company offering a cloud cost optimization and management platform.The Vega Cloud Platform provides visibility and organization of cloud infrastructure with a unified view across major cloud providers. Vega Cloud platform provides near real-time data to influence spending and make intelligent trade-off decisions between cost, quality, and speed. The platform's proprietary unit economics and outcomes-oriented approach to cloud infrastructure optimization uses data context and automation to help businesses make decisions efficiently.Vega Cloud employs a subscription-based pricing model.Key customers and partnershipsVega Cloud provides native integrations with AWS, Azure, and Google Cloud.The company’s clientele includes entertainment companies like CBS, Paramount, MTV, VH1 and others such as ITRON, Cal Poly, and ClearData.

Vega Cloud

StackZone offers a suite of technology solutions for optimizing and enhancing various aspects of AWS cloud operations.StackZone's range of products and features encompasses AWS management tools, infrastructure optimization solutions, security services, application performance management, cost optimization solutions, analytics and reporting, automation, and support/consulting services. These offerings cater to various IT aspects, including resource management, performance enhancement, cost reduction, security, and operational efficiency.StackZone employs a direct sales model.Key customers and partnershipsStackZone’s customer base includes enterprises in various industries. Among its customers are The Weir Group, Sigma Móvil, Vitaccess, Triario, and Keroppa.

StackZone

mist.io provides an open-source multi-cloud management platform aimed at optimizing costs and streamlining operations.mist.io’s unified dashboard and APIs provide real-time visibility into hybrid cloud environments to track, understand, and govern cloud spend and resource utilization. The platform also provides orchestration automation for repeatable deployments and the ability to create custom policies to control infrastructure access. Moreover, the platform eliminates the need for migration by allowing users to control legacy bare-metal servers from the same interface used for cloud infrastructure.The platform operates a pay-as-you-go and subscription-based sales model.Key customers and partnershipsmist.io is utilized globally in several industries. Some notable customers are SevOne, the European Parliament, the National Bank of Greece, the University of Colorado Boulder, and Windstream Enterprise.mist.io offers integrations with over 15 service providers and technologies. Some key technology integrators are AWS, Microsoft Azure, Google Cloud Platform, IBM Cloud, Alibaba Cloud, and VMware.

Mist.io

Tools that improve performance per spend by offering visibility and insights as well as leveraging pricing models such as reserved and spot instances. These also provide financial guardrails to enforce budgetary limits and other cost-saving opportunity recommendations

Tools designed to streamline and simplify various tasks and processes related to cloud computing. These help organizations manage and optimize their cloud infrastructure, improve operational efficiency, and reduce manual intervention

Tools that provide comprehensive features and functionalities to safeguard cloud resources and maintain adherence to industry-specific regulations for data protection and overall security

All companies in this hub provide optimization services for cloud-based platforms

Provides support for governance & regulatory compliance and transparency & insights regarding cloud spend

A few companies use AI/ML algorithms for workload optimization and deployment automation

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 Espresso AI, a startup that aims to optimize cloud computing costs, has successfully secured USD 11 million in pre-seed and seed funding. Major contributors to the funding rounds include Daniel Gross, Nat Friedman, and Matt Turck from FirstMark.
 The startup plans to utilize these newly acquired funds to expedite product development and bolster its go-to-market strategies.&nbsp;
 Specializing in automating code optimization using Low Level Virtual Machines (LLVMs) and Machine Learning (ML), Espresso AI strives to decrease cloud compute costs by a significant margin of up to 80%. As of now, the company analyzes and optimizes queries for <a href="https://sp-edge.com/companies/241548"> Snowflake </a>, a top-tier platform for cloud data warehousing, and has future plans of expanding its repertoire of services to other SQL data warehouses.
 
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