Application modernization is more than lifting workloads into containers. We take legacy estates apart, harden them, refactor where the value is, and rebuild where AI changes the contract — all on the platforms our platform team has just stood up.
What we deliver
- Discovery and assessment. Application portfolio review, technical debt profile, modernization roadmap. We tell you which applications are worth refactoring, which are worth replatforming as-is, and which are worth replacing.
- Containerisation and replatforming. From Java EE on traditional middleware to OpenShift, from VM-bound services to containerised stateless workloads, with image hardening and supply-chain signing.
- Microservices refactoring. Decomposition strategy, bounded contexts, anti-corruption layers, strangler-fig migrations. We don’t refactor for its own sake — only where it earns its keep.
- Integration platform modernization. WSO2 API Manager, MuleSoft, and successor stacks (WSO2 Micro Integrator). Replatform from legacy ESBs, federate APIs across business units, modernise webhooks and event flows.
- Workflow and orchestration. Camunda for human-in-the-loop BPM, Temporal for durable workflow engines in code. Saga patterns where transactions span systems.
- Streaming and data. Apache Kafka, Apache Spark on OpenShift, S3-compatible object storage, Iceberg / Delta lakehouse formats. Built to feed both classical analytics and AI/ML workloads from the same surface.
- AI-enabled application rebuilds. Where a legacy app’s contract is best rewritten with an AI-augmented front-end (claims triage, customer support, document understanding), we build it on OpenShift AI with NVIDIA NIM / vLLM / Triton inference and MCP-based tool integration, behind your existing identity boundary.
See the full AI practice
This page covers AI-enabled rebuilds as part of application modernization. For the seven-aspect deep view of our AI practice — strategy and readiness, AI platforms, LLM inference, RAG and agentic AI, MLOps, and AI security and governance — visit the dedicated AI practice page.
How we work
We don’t take on monolith-by-monolith rewrites. Engagements are bounded around outcomes — “this claims-handling flow runs in containers behind enterprise identity in 14 weeks”, not “modernise everything indefinitely”.
Engagement shape
Single-application modernizations typically run 8–14 weeks. A portfolio modernization programme is structured as a sequence of bounded engagements, each independently delivered, with a steering cadence in between.