Software Engineering
Legacy Modernization for production
Map, untangle and modernize critical systems without losing business logic or operational continuity.
300+ projects delivered
Overview
Legacy Modernization with a clear purpose.
A focused legacy modernization engagement that connects business outcomes, users, data and production engineering from the start.
Technology is selected after we understand the workload, constraints and operating model. We can work within an established stack or recommend a change with the trade-offs made explicit.
Business challenges
Business challenges we solve.
The engagement begins with the operating problem and a measurable baseline, not a predetermined tool.
Critical platforms are expensive to change and difficult to test
Addressed through architecture and product engineering, with the baseline and owner agreed before delivery.
Integrations fail silently or depend on manual reconciliation
Addressed through ai-assisted development with review gates, with the baseline and owner agreed before delivery.
Delivery speed comes at the cost of quality and operational readiness
Addressed through automated quality, devops and observability, with the baseline and owner agreed before delivery.
Architecture knowledge is concentrated in too few people
Addressed through integration, modernization and handover, with the baseline and owner agreed before delivery.
Solutions
What we can build with Legacy Modernization.
Representative solution types - the right starting point depends on your users, systems and operating constraints.
Custom business platforms
Designed around the workflow, users, integrations, data and measurable outcome required in your environment.
API and integration programmes
Designed around the workflow, users, integrations, data and measurable outcome required in your environment.
IoT and connected products
Designed around the workflow, users, integrations, data and measurable outcome required in your environment.
Legacy modernization
Designed around the workflow, users, integrations, data and measurable outcome required in your environment.
Automated quality engineering
Designed around the workflow, users, integrations, data and measurable outcome required in your environment.
Reliable delivery platforms
Designed around the workflow, users, integrations, data and measurable outcome required in your environment.
Aarvik capabilities and delivery capacity.
Aarvik brings strategy, product, design, engineering, AI, quality and operations together across teams in the UAE and India.
- 80+designers and developers
- 300+projects delivered
- 4offices across the UAE and India
Scope
Scope of services.
Strategy, design, engineering, integration, modernization and support are scoped around the outcome and ownership model.
Architecture and product engineering
Included with clear ownership, acceptance criteria, documentation and handover.
AI-assisted development with review gates
Included with clear ownership, acceptance criteria, documentation and handover.
Automated quality, DevOps and observability
Included with clear ownership, acceptance criteria, documentation and handover.
Integration, modernization and handover
Included with clear ownership, acceptance criteria, documentation and handover.
Engineering foundation
Technology stack and integrations.
The final stack follows the workload, existing estate, team capability, security and ownership model.
- React
- Node.js
- Python
- Java
- .NET
- PostgreSQL
- Kafka
- Docker
- Kubernetes
- Terraform
Applied AI
AI-native, with human control.
AI accelerates delivery only when specifications, tests, security and review remain explicit. We embed it into the SDLC with measurable quality gates.
- Grounded data
- Scoped access
- Human approval
- Evaluation and audit
Process
A delivery flow that keeps risk visible.
- 01
Frame
Agree the outcome, constraints, baseline and decision owners.
- 02
Design
Map the experience, architecture, data flows, controls and delivery plan.
- 03
Deliver
Build and validate in short releases with visible demonstrations and acceptance criteria.
- 04
Run
Release with observability, documentation, support and a measured improvement backlog.
People
Relevant Aarvik specialists.
A representative team for this capability. Final staffing follows the scope and availability.
Vikram TKV
CTO
G Rabi Kumar
Project Manager
Madatha Satish Siddiram
Senior Software Engineer
Vijay Musham
Senior Software Engineer
Engagement models
Choose the right way to engage.
Start small, commission a complete delivery team, or add specialists to your own team.
Best for an unclear opportunity or a high-risk assumption
Discovery or proof sprint
- Workflow and requirement map
- Feasibility and architecture
- Prototype or technical spike
- Roadmap and delivery estimate
Best for an outcome with defined ownership and releases
Managed project team
- Cross-functional Aarvik team
- Milestones and working demos
- Quality and security gates
- Launch, handover and support
Best for adding specialist capacity to an existing programme
Team extension
- Role and skill matching
- Shared delivery practices
- Transparent reporting
- Knowledge transfer and continuity
Industry fit
Legacy Modernization across industry workflows.
We adapt the same engineering discipline to the data, regulation, customer journey and operating reality of each sector.
Success measures
How success will be measured.
For Legacy Modernization, targets are agreed during discovery and reviewed after launch. Where verified project evidence is available, we present it separately as a case study.
Cycle time
Baseline the time from request to completed outcome, then measure the change after release.
Quality and control
Track defects, overrides, grounded answers, failed actions and approval outcomes.
Adoption
Measure active use, task completion, abandonment and the points where people still need help.
Reliability and cost
Monitor availability, latency, unit cost, incidents and recovery against agreed targets.
Related
Explore more in Software Engineering.
Adjacent capabilities that often form part of the same programme.
Software Engineering
Architecture, product development, testing and operations as one accountable delivery system.
Learn more about Software EngineeringCustom Software Development
Purpose-built platforms and integrations for workflows that off-the-shelf products cannot fit.
Learn more about Custom Software DevelopmentProject Development Services
A managed product team with clear scope, milestones, demos and ownership.
Learn more about Project Development ServicesIoT Development
Connected-device platforms, telemetry, analytics and automation from edge to cloud.
Learn more about IoT Development
FAQ
Frequently asked questions
When is Legacy Modernization a good fit?
When its strengths match the workload, team and constraints. Discovery makes that decision explicit before a larger build begins.
Can Aarvik work with our existing team and systems?
Yes. We can lead a defined scope, embed specialists, or work alongside internal and vendor teams with shared quality gates.
How do you use AI in the engagement?
AI accelerates delivery only when specifications, tests, security and review remain explicit. We embed it into the SDLC with measurable quality gates. We also use AI-assisted delivery behind review, testing and security controls.
What happens after launch?
We provide monitoring, documentation, knowledge transfer and an improvement backlog, with support matched to the system's importance.
How are scope, timeline and cost estimated?
After a focused discovery, we break the work into outcomes, dependencies and releases. The proposal states assumptions, team shape, milestones and what is outside scope.
Can we start with a smaller validation?
Yes. A discovery or proof phase can test the riskiest assumptions on representative data before you commit to full delivery.
Consultation
Discuss your legacy modernization requirement.
Share a work email now. On the next page, add the workflow, systems, constraints and outcome you have in mind.
- 01We review the requirement
No automated sales sequence or generic proposal.
- 02Discovery conversation
We clarify the outcome, data, systems, risks and decision owners.
- 03Scoped next step
You receive a recommended team, delivery path, assumptions and estimate.