Future-ready solutions designed to ensure reliable, efficient operations — transforming age-old systems into composable, AI-native platforms.
Legacy systems need continuous modernization to keep pace with the fast-changing digital eco-system. We transform age-old systems into futuristic ones — leveraging AI-driven technologies for a seamless, cost-effective transition.
AI-assisted code mining and dependency mapping to surface risk, complexity and the highest-leverage modernization paths.
Generative tooling translates COBOL, PL/SQL and monoliths into modern, composable services on cloud-native stacks.
Phased cut-over with continuous validation — keeping business running while unlocking measurable performance gains.
Three modernization tracks — backed by AI-driven tooling and three decades of enterprise migration experience.
Highly automated and proven tool to modernize legacy systems, ensuring reliability, scalability and higher efficiency applications.
read-moreSeamless migration to advanced systems, effectively meeting the technology needs of today, tomorrow and beyond.
read-moreModernize legacy data platforms and reporting systems into cloud-native, AI-ready stacks — preserving lineage and accelerating insight.
read-moreA unified migration framework to move workloads across platforms, clouds and regions.
From banking to government, our deep domain expertise lets us deliver services that create real-world impact across the sectors that matter most.
Three decades of helping enterprises modernize the systems they cannot afford to break.
Real outcomes delivered for enterprise clients — proof, not promises.
A leading US manufacturer partnered with Kumaran to transform 40+ legacy mainframe systems into a modern AI-powered platform — delivering dramatic efficiency gains at enterprise scale.
Migrated an entire Informatica PowerCenter ETL estate to Azure Databricks — modernising data infrastructure and enabling real-time analytics with zero data loss.
Trusted to deliver excellence across 40+ countries. Let's build something extraordinary together.
