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Legacy framework modernization
Move .NET Framework, Java EE, older JavaScript frameworks, PHP, Python, and other aging estates to supported architectures.
Modernize legacy applications, frameworks, databases, and infrastructure without discarding the business logic that already works.
Move critical systems forward
We assess legacy estates, isolate risk, and modernize applications in controlled stages across Microsoft, Java, web, mobile, data, and cloud ecosystems. Integration work spans APIs, events, enterprise applications, identity, data, and partner platforms, with compatibility, security, and operational continuity treated as first-class requirements.
What this service is for
The service can be delivered as a focused intervention or as part of a broader transformation program. These are common starting points, not the limits of the engagement.
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Move .NET Framework, Java EE, older JavaScript frameworks, PHP, Python, and other aging estates to supported architectures.
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Separate tightly coupled domains and deployment units in controlled stages without losing proven business behavior.
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Modernize runtime, data, identity, deployment, and observability while maintaining reconciliation and rollback controls.
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Connect ERP, CRM, Microsoft 365, identity, payments, data platforms, APIs, queues, and external business networks.
Delivery context
This capability is shaped for Financial Services, Insurance, Manufacturing, Government, Healthcare and the teams responsible for Information Technology, Application Development, Operations, Data Management. The engagement connects the right engineering disciplines, controls, and technology choices to the target business outcome.
Industries
Architecture, workflow design, controls, and delivery priorities are adapted to the regulatory, operational, and customer realities of these sectors.
Financial Services 路 Insurance 路 Manufacturing 路 Government 路 Healthcare
Teams
We work with the leaders and practitioners who own the system, its data, its operational outcome, and its continued performance after launch.
Information Technology 路 Application Development 路 Operations 路 Data Management
Solution fit
The work can stand alone or connect with adjacent Levmetrics capabilities, allowing strategy, implementation, integration, and operation to move as one program.
Modernization 路 Enterprise Integration 路 Cloud Transformation
Technology ecosystem
We work across established enterprise platforms and modern engineering ecosystems. The final stack follows the customer environment, delivery constraints, security requirements, and target architecture rather than a fixed vendor preference.
AI-first delivery
We apply AI where it improves the speed, depth, or consistency of application modernization & integration. Agentic AI is used for bounded, traceable workflows; experienced people remain responsible for architecture, quality, security, and production outcomes.
Analyze source code, dependencies, interfaces, schemas, and documentation to accelerate system understanding and migration planning.
Support refactoring, test generation, documentation, and compatibility analysis under senior engineering review.
Automate repeatable evidence collection, parity checks, defect triage, and migration reporting across staged releases.
Capabilities
Outcomes
Approach
The team behind the work
The application modernization & integration engagement is staffed around the required technology, domain, risk, and operating model. We combine role-specific screening, senior oversight, secure delivery practices, and measurable quality gates rather than treating staffing as a volume exercise.
Delivery teams are selected for the actual domain and stack. CCAT-verified talent is assessed for problem solving and learning agility before joining project work.
Architecture, implementation, test strategy, release readiness, and operational handover are reviewed by experienced engineering and quality leaders.
Security-sensitive work can draw on KLCP-certified expertise, secure engineering practices, least-privilege access, and evidence-based delivery controls.
We work across AWS, Microsoft Azure, Google Cloud, containers, serverless, Kubernetes, infrastructure as code, CI/CD, observability, and hybrid estates.
Ways to engage
Engagements can begin with a short assessment, a defined implementation, or ongoing product and platform ownership. The commercial and delivery model follows the outcome, risk, and level of continuity required.
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A focused engagement to establish current state, business priorities, risks, target architecture, delivery stages, measures, and investment choices.
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An accountable team delivers a defined outcome through discovery, architecture, implementation, quality engineering, deployment, and handover.
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A stable, cross-functional team works against an agreed roadmap with transparent cadence, governance, technical ownership, and capacity.
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Continuing ownership for reliability, releases, enhancement, security, modernization, observability, and operating-cost improvement.
Start with the outcome
Share the current system, constraint, and target outcome. We will map a practical path forward.