We've seen firsthand how easy it is to overspend on cloud infrastructure. AnalyzeMyCloud was built to solve this problem at scale.
A product of ServiceVision.net
After years of working as cloud consultants at ServiceVision.net, we kept seeing the same pattern: companies would migrate to the cloud expecting cost savings, but their bills kept growing month after month.
The problem wasn't the cloud platforms themselves - it was the complexity. With hundreds of resource types across Azure, AWS, and GCP, dozens of pricing tiers, and constantly changing options, even experienced engineers struggle to keep their infrastructure optimized.
We'd manually audit client environments and consistently find 20-40% in unnecessary spending. The recommendations were straightforward once you knew what to look for, but discovering them required deep cloud expertise and hours of analysis across multiple platforms.
"What if we could automate this process using AI?"
That question led to AnalyzeMyCloud, a product built by the team at ServiceVision.net. We combined our multi-cloud optimization expertise with advanced AI language models to create a tool that can analyze infrastructure across Azure, AWS, and GCP at scale - providing the same quality recommendations we'd deliver manually, but in 24 hours instead of weeks.
How we approach cloud cost optimization
Every recommendation includes risk assessment and rollback procedures. We never suggest changes that could impact production stability without clear warnings and mitigation strategies.
Generic advice doesn't help. We provide specific commands, exact resource names, and step-by-step implementation guides so you can actually execute the recommendations.
We only win when you win. Our 2x ROI guarantee means we're betting on our ability to deliver real, measurable savings - not just producing reports that sit in email folders.
Cutting-edge AI combined with deep multi-cloud expertise
Our proprietary analysis engine combines AI with years of multi-cloud optimization expertise to deliver actionable recommendations you can trust.
Maximum data privacy: Elect to have all AI analysis performed using cloud-native AI services within your own cloud environment (Azure AI, AWS Bedrock, or Google Vertex AI) or a dedicated private environment. With this option, your infrastructure data never leaves your cloud provider's ecosystem - nothing flows to external third-party AI providers. Same analysis quality with complete data sovereignty.
Our ServiceVision.net team brings years of hands-on experience across Azure, AWS, and GCP
Expert certification
Zero-trust principles
Multi-tenant experience
Cloud financial mgmt
Connect your cloud accounts and receive a detailed cost optimization report within 24 hours.