Business and IT consulting firm specializing in legacy modernization and cloud migration
Maayee is a consulting firm built around legacy system modernization, with active projects spanning CI/CD pipeline migration (Jenkins → GitHub Actions), Magento 2 ecommerce optimization, and enterprise analytics. The tech stack reveals a dual-world operation: deep expertise in mainframe and banking standards (HP NonStop, COBOL, ISO8583, HSM) paired with modern cloud infrastructure (Azure, AWS, Kubernetes, Terraform). Hiring is accelerating with a senior-heavy engineering focus, suggesting they're scaling delivery capacity on transformation-heavy engagements.
Notable leadership hires: Analytics Lead
Maayee is a privately held consulting firm founded in 2012 and headquartered in Suwanee, Georgia. They serve small to large organizations across the US and global markets, offering custom services around business process automation, legacy system modernization, and cloud infrastructure. The firm operates across multiple domains—from mainframe and financial services integration to modern web and ecommerce platforms—and positions cost savings (up to 60% on IT capital and operations) as a key value driver. A global network allows them to work across time zones and local commercial structures.
Maayee uses a dual-stack approach: legacy systems (HP NonStop, COBOL, ISO8583, HSM) and modern cloud platforms (Azure, AWS, Kubernetes, Docker, Terraform). Frontend: React, Angular, Next.js. Enterprise platforms: Salesforce, ServiceNow, OnBase. They recently replaced Jenkins and Azure DevOps with GitHub Actions for CI/CD.
Maayee is modernizing CI/CD pipelines, migrating legacy systems to GitHub Actions, building ecommerce features on Magento 2, integrating third-party platforms (HubSpot, Braintree, Google tools), and scaling enterprise analytics and reporting capabilities.
Maayee, Inc.'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.