G o t   Q u e s t i o n s ?

Cloudeva.ai is a complete AI cloud management platform that unifies AWS, Azure, and more. It delivers multi-cloud visibility, cloud cost optimisation, and automated cloud remediation in one intuitive platform.

Our cloud security posture management scans every account in real time, flags risks, and auto-fixes issues - keeping you compliant without manual work.

Most tools just alert. Cloudeva’s automated cloud remediation uses AI agents to detect, recommend, and execute fixes instantly.

Yes. Multi-cloud visibility is built in. See costs, security, and performance across all clouds in a single unified cloud dashboard; no more jumping between consoles.

Absolutely. As an AI-powered FinOps platform, it cuts waste, rightsizes resources, and gives cloud spend optimisation recommendations.

Your AI cloud buddy. Ask anything in chat, get answers and one-click fixes.

Super simple: 14-day free trial, connect your clouds in minutes, pick ready-made policies. No huge upfront contracts, just pay as you go and scale when you’re ready.

Multi-cloud infrastructure refers to the combined use of different cloud platforms, edge systems, data centers, and automation environments across a manufacturing business. Manufacturers often rely on multiple cloud providers for IoT, robotics, simulation workloads, and analytics. Cloudeva.ai unifies this multi cloud infrastructure by giving factories real-time visibility into their multicloud environment, improving governance, uptime, and security across production lines.

A strong hybrid cloud strategy helps manufacturers run workloads across public cloud, private cloud service, and on-premises infrastructure. Robotics, automation platforms, and IoT systems often need low-latency processing, which hybrid cloud supports effectively. Cloudeva.ai ensures consistent governance across hybrid architectures, enabling factories to adopt Industry 4.0 technologies without losing control or performance.

Manufacturers adopt multiple providers to improve resilience, reduce downtime, and scale different workloads across various cloud providers. For example, AI models may run on Google Cloud Platform, automation tools on Azure, and analytics on AWS. By using Cloudeva.ai’s AI-native governance, organisations can simplify operations even when workloads span one cloud service provider or several different cloud platforms.

Manufacturers experience rising travel between engineering workloads, ERP systems, and IIoT applications. Cloudeva.ai strengthens cost control by identifying unused resources, monitoring spend across multiple public clouds, and providing AI-driven recommendations to optimise costs. The platform also helps teams improve cost management through accurate forecasting, cost allocation, and visibility across cloud providers.

Industry 4.0 depends heavily on cloud computing for processing sensor data, training machine learning models, supporting simulation workloads, and integrating robotics systems. Manufacturers also rely on cloud computing services to streamline supply chain analytics and QC processes. Cloudeva.ai enables teams to use these tools safely by ensuring consistent security across private cloud environments, edge systems, and public cloud deployments.

Factories use many third-party tools, including MES applications, automation platforms, IoT dashboards, and engineering design software. When these tools run across multiple cloud platforms, they create complexity. Cloudeva.ai simplifies integration by mapping cloud resources, aligning access policies, and enforcing compliance across all environments, regardless of cloud vendor or tool origin.

A multi-cloud management platform helps manufacturers simplify cloud operations across multiple regions, plants, and supply chain partners. Cloudeva.ai centralises monitoring, governance, cost insights, and policy enforcement across all environments. This gives IT teams complete visibility across cloud environments, cloud service providers, and hybrid cloud infrastructure while improving uptime and production workflow continuity.

Manufacturers often run mission-critical systems across multiple clouds to avoid reliance on a single cloud vendor. With Cloudeva.ai, organisations gain automated alerts, predictive analytics, and risk identification across their multicloud environment. This helps prevent downtime, strengthens disaster recovery, and improves the overall reliability of digital factory operations.