# Rafay Customers Cut Cloud Costs by 63% and Deploy 4× Faster

The Rafay Platform is the infrastructure orchestration and workflow automation platform for enterprise AI and cloud-native use cases. The Rafay Platform delivers optimal developer productivity through self-service consumption of environments and experiences, making infrastructure truly composable.

With Rafay, developers and data scientists see 4x faster deployments and 63% lower costs (on average), allowing them to experiment faster, ship new capabilities and features quicker, reduce infrastructure waste, increase utilization and drive better business outcomes.

## Trusted by leading enterprises, neoclouds and service providers

## Learn Why Customers Rave About Rafay

### 4x

faster deployments

### 63%

lower cloud costs

### 0

cognitive load & controllers to manage

"With Rafay, we have complete peace of mind that our K8s clusters & apps are operating efficiently and securely."

### Sharad Sanghi

Founder and CEO, Neysa AI

"Our focus on democratizing AI across India demands for us to move at lightning speed to deliver high-value data science experiences to developers."

### Joe Vaughan

Chief Technology Officer, MoneyGram

"We are able to deliver new, innovative products and services to the global market faster and manage them cost-effectively with Rafay."

### Vikram Sinha

President, Director, and CEO of Indosat Ooredoo Hutchinson (parent company of Lintasarta)

"As part of the Indosat group, Lintasarta is playing a crucial role in not only paving the way for us to become an AI-native TechCo."

### Rakesh Singh

Senior Director, Cloud & DevOps, Regeneron

"One single tool, one single process, one single knowledge base helps us achieve efficiency. Less chaos, less complexity."

### Justin Boitano

VP, Enterprise AI at NVIDIA

"The Rafay Platform is a powerful enabler for NVIDIA customers looking to move fast."

### Sharmila Ramar

Global Head of Cloud , Devops & Data Management, MassMutual

"Rafay has streamlined the management and operations of 100+ Amazon EKS clusters while helping us enable developer self-service."

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