Provides a cloud management platform (CMP) that integrates and automates the management of multi-cloud environments, including private, public, and hybrid clouds, using modular architecture to optimize resource allocation and reduce operational complexity. Its AI-powered tools enable proactive anomaly detection, capacity planning, and cost optimization, ensuring reliable and efficient cloud operations for public institutions, financial organizations, and enterprises.
Funding
$111.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Managing multi-cloud environments, including private, public, and hybrid clouds, can be complex and inefficient, leading to resource misallocation and increased operational overhead. Organizations struggle to optimize cloud resource allocation, proactively detect anomalies, and effectively plan capacity across diverse cloud infrastructures.
Solution
OKESTRO CMP is a cloud management platform that integrates and automates the management of multi-cloud environments. The platform uses a modular architecture to optimize resource allocation and reduce operational complexity across private, public, and hybrid clouds. AI-powered tools enable proactive anomaly detection, capacity planning, and cost optimization, ensuring reliable and efficient cloud operations. OKESTRO CMP provides a unified management interface, standardizing workflows across different cloud vendors and automating complex infrastructure operations.
Target Audience
The primary target audience includes public institutions, financial organizations, and enterprises managing complex multi-cloud environments.
Features
- Unified management interface for Openstack, VMWare, Kubernetes, and other multi-cloud environments
- Modular architecture allowing customization to specific cloud operating environments
- Automated cloud infrastructure operation
- AI-powered anomaly detection and predictive capacity planning
- Integrated monitoring of cloud resource status, costs, and usage
- Standardized management and provisioning across diverse cloud vendors
- Customizable workflows to integrate with existing customer governance models
- Support for software-defined computing (SDC), software-defined networking (SDN), and software-defined storage (SDS)