Cloudamize offers a data‑centric platform that automates discovery, analysis, planning, and migration of enterprise workloads to AWS, Azure, or Google Cloud. By collecting detailed performance and configuration metrics through agent‑based and agentless scans, it generates right‑sized infrastructure recommendations, total cost of ownership comparisons, and migration roadmaps that can cut planning time by up to 75% and deliver significant cost savings.
Funding
$1M 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
Enterprises often face lengthy, error‑prone cloud migration projects because they lack accurate, up‑to‑date data on server configurations, application dependencies, and cost implications across multiple public clouds.
Solution
Cloudamize provides a data‑centric platform that automates the discovery, analysis, planning, and migration of workloads to AWS, Azure, or Google Cloud. Agent‑based and agentless scans collect over 150 performance and configuration metrics at the machine level, including installed applications, dependencies, firewall rules, and licensing details. The platform’s analytics engine generates right‑sized infrastructure recommendations and a total cost of ownership (TCO) comparison, enabling customers to reduce migration planning time by up to 75% and achieve more than 50% cost savings versus lift‑and‑shift. Users can model “what‑if” scenarios, group applications by tags or business units, and create detailed migration roadmaps with integrated multi‑cloud support. All insights are delivered through a unified dashboard that supports continuous optimization as business needs evolve.
Target Audience
Primary customers are enterprise IT teams, cloud architects, and migration consultants who need to assess and move large application portfolios to public cloud environments.
Features
- Automated discovery using hypervisor, agent, and agentless methods to capture detailed server, application, and firewall data
- Analytics engine that produces right‑sized cloud configurations and multi‑cloud TCO calculations
- “What‑if” scenario modeling for instance types, regions, pricing plans, and performance thresholds
- Migration planner with application tagging, grouping, and custom workflow design
- First‑class integrations with AWS, Azure, and Google Cloud for seamless migration execution
- License‑optimization recommendations to maximize cost efficiency in the target cloud