Automate discovery, visualization, and translation for seamless migrations between AWS, Azure, and GCP.
70% of organizations encounter unexpected delays during cloud transitions, with each month of delay pushing back customer onboarding by 30-60 days and locking development teams into migration work rather than innovation.
Organizations waste 30% of their cloud spend through poor management, while manual labor costs start at $5,000 per application and require specialized cloud architects and DevOps consultants.
Manual policy enforcement creates over 30% change failure rates, with inconsistent compliance application leading to audit violations and security incidents that cost an average of $10.9 million in healthcare.
StackGen's intelligent cross-cloud resource translation eliminates manual reconfiguration work, reducing cloud-to-cloud migration timelines from typical 2-16 month projects to automated 4-6 week deployments with built-in data residency compliance.
AI agents apply consistent security policies across AWS, Azure, and GCP simultaneously, eliminating the 75% of manual effort typically required for multi-cloud compliance validation and reducing governance overhead by 60%.
Code analysis drives higher-order re-platforming instead of basic lift-and-shift approaches, automatically optimizing infrastructure for each cloud provider's strengths while maintaining 99.9% uptime during transitions compared to traditional migrations that risk significant downtime.
StackGen helps professional services organizations to quickly discover, visualize, and translate customer environments into Infrastructure as Code (IaC).
