Built for techies and leaders
Low-code and no-code environment designed for rapid innovation.
emma utilizes artificial intelligence (AI) to optimize resource utilization and manage costs effectively across various cloud environments.
AI-driven insights enable proactive and strategic management of cloud resources, leading to more effective use of technology and better alignment with business objectives.
Continuous monitoring, lifecycle management, and reporting ensures efficient administration and control of cloud resources.
Boost efficiency and cost-effectiveness by right-sizing resources, dynamic scaling, identifying idle resources, tuning performance, and facilitating continuous improvement.
Low-code and no-code environment designed for rapid innovation.
Experience cloud freedom like never before with the emma platform.
Avoid vendor lock-in to achieve greater flexibility and innovation power. Deploy your infrastructure across multiple cloud environments with emma's cloud-agnostic approach.
Unlock savings with emma's real-time insights and rightsizing options. Save up to 80% in specific cases, optimizing your cloud resources efficiently.
Boost productivity with streamlined operations and automated resource provisioning. Maintain centralized control while empowering self-service capabilities.
Experience lightning-fast interactions with emma's high-speed multicloud networking backbone, designed for maximum application performance and resilience.
Fast provisioning, automated workflows, and seamless DevOps integrations for rapid deployment and scaling across diverse cloud environments.
Harness your growth by scaling resources dynamically with emma, ensuring uninterrupted operations and unmatched business support.
By leveraging AI, emma can help achieve greater financial control, reduce cloud spending, and make informed decisions to support strategic objectives in cloud management.
Benefit from enhanced tracking, reporting, policy enforcement, and billing, ensuring precise control over cloud expenses.
Drive efficiency by following recommendations for right-sizing, auto-scaling, identifying unused resources, and suggested cost-saving alternatives.