AI-driven cloud governance platform for multi-cloud cost and compliance management
CoreStack provides governance and security automation across AWS, Azure, GCP, and Oracle Cloud. The tech stack—Python, Django, Kubernetes, Prometheus, Datadog—reflects infrastructure-heavy engineering, while the hiring mix (sales-led with VP-level recruitment) and active projects (partner enablement, federal GTM) signal a push into enterprise and government segments. Pain points around federal compliance and dependency management indicate the product is addressing regulatory-intensive verticals.
CoreStack is a cloud governance platform designed for enterprises managing multi-cloud environments. The platform automates security, compliance, cost, and operational controls across major cloud providers, with claimed outcomes including 40% cloud cost reduction and compliance assurance across ISO, FedRAMP, NIST, HIPAA, and PCI-DSS frameworks. The customer base spans Financial Services, Healthcare, Retail, Education, Telecom, Technology, and Government sectors. The company operates from Bellevue, WA with 51–200 employees and has raised venture backing.
CoreStack integrates with AWS, Azure, GCP, and Oracle Cloud, using a connector-less model with declarative, Cloud-as-Code definitions and AI/ML-driven automation.
CoreStack assures compliance with ISO, FedRAMP, NIST, HIPAA, PCI-DSS, AWS CIS, and the AWS Well-Architected Framework.
CoreStack's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.