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Legacy applications were built for on-premise infrastructure — fixed hardware, local networks, and manual deployment processes that cannot match the elasticity and economics of cloud. As infrastructure ages, costs rise, security exposure increases, and the operational burden of maintaining aging systems grows. Meanwhile, digital transformation initiatives stall because legacy applications cannot be easily integrated with cloud-native services, modern analytics, or the AI platforms enterprises are now deploying. Cloud migration removes these constraints — but only when planned and executed with the right strategy for each application’s characteristics.
Our approach begins with an assessment of each application’s architecture, dependencies, and cloud readiness. We evaluate the appropriate migration strategy for each application — ranging from lift-and-shift for stable systems to re-platforming or re-architecture for applications where cloud-native capabilities deliver clear business value. This portfolio-level assessment prevents the common failure of applying a single migration approach to all applications regardless of their characteristics, and ensures that migration complexity is matched to the business value it delivers.
Most enterprise cloud migrations are not single events — they are phased programmes where individual applications or services are migrated sequentially, with each stage validated before the next begins. This approach reduces the blast radius of any individual migration issue, allows teams to build cloud operational capability progressively, and ensures that business-critical applications are migrated only after confidence has been established through earlier phases.
ADaM supports cloud migration by enabling API abstraction and service decomposition patterns that make legacy applications more portable to cloud environments. It helps reduce the tight infrastructure coupling that makes lift-and-shift migrations more complex than necessary.
Niral.ai helps maintain application layer stability during cloud migration by supporting front-end continuity while backend infrastructure transitions to cloud-hosted environments.
Structured cloud migration reduces risk. The right migration strategy for each application maximises long-term cloud value.
Successful cloud migration for legacy applications reduces infrastructure overhead, improves operational resilience, and creates the foundation for modern deployment, integration, and AI adoption.
We leverage cutting-edge tools to ensure every solution is efficient, scalable, and tailored to your needs. From development to deployment, our technology toolkit delivers results that matter.

We leverage proprietary accelerators at every stage of development, enabling faster delivery cycles and reducing time-to-market. Launch scalable, high-performance solutions in weeks, not months.

It is the process of moving legacy applications from on-premise infrastructure to cloud platforms, using an appropriate migration strategy — lift-and-shift, re-platforming, or re-architecture — based on the application’s characteristics and business requirements.
No. Many legacy applications can be migrated using lift-and-shift or re-platforming approaches that do not require significant code changes, delivering cloud infrastructure benefits without the cost of full re-architecture.
We assess each application’s architecture, dependencies, workload patterns, and business value to select the migration strategy that delivers the best outcome at an appropriate level of complexity and risk.
Timeline depends on application complexity, infrastructure dependencies, and the migration strategy selected. Phased programmes typically deliver early migrations within weeks, with the full portfolio migrated over several months.
Cloud migration is one of the key tracks within application modernisation, often pursued alongside API enablement, database modernisation, or microservices decomposition as part of a broader transformation programme.
