Legacy Application
Modernization—
without disrupting your business

Transform outdated applications into modern, scalable, cloud-native systems incrementally and safely, with zero business disruption. Built for Indian enterprises across BFSI, manufacturing, logistics & healthcare.

Modernizing Legacy Applications for Scale, Security, and Growth

Indian enterprises across BFSI, manufacturing, logistics and healthcare still run on systems built 15–20 years ago. Maintaining them consumes 60–80% of IT budgets, leaving little for innovation and regulatory pressure from RBI, SEBI, IRDAI and the DPDP Act is accelerating the urgency. We move organisations from fragile monoliths and unsupported technologies to cloud-native, API-first architectures incrementally, safely, and with full business continuity.

Trusted by India's Leading Enterprises

When You Need It

Problem Statements

High Maintenance Costs and Operational Overhead

Legacy applications are expensive to maintain, requiring ongoing support, upgrades, and specialized resources that increase IT costs.

Monolithic Architectures Slow Innovation and Time-to-Market

Monolithic applications slow software releases, making it harder to launch new features and respond to changing business needs.

Unsupported Technologies Increase Risk

Outdated platforms, frameworks, and databases create security risks, compliance challenges, and vendor support issues.

Complex Integrations Limit Business Agility

Legacy systems often rely on point-to-point integrations that make modernization, automation, and system connectivity difficult.

Limited Scalability Impacts Performance and Growth

Legacy applications struggle to scale with growing users, workloads, and data volumes, affecting performance and reliability.

Technical Debt Slows Down Development

Technical debt, outdated code, and legacy architectures increase development effort and slow digital transformation initiatives.

What we Do

How We Solve

Architecture & Design

1. Application Architecture Assessment

Evaluate application architecture, dependencies, modularity, scalability, and modernization readiness.

Technology & Supportability

2. Technology Stack Assessment

Assess frameworks, platforms, databases, libraries, and third-party technologies for modernization opportunities.

Code & Maintainability

3. Code Quality & Technical Debt

Analyze code quality, technical debt, maintainability, complexity, documentation, and engineering risks.

Integration & APIs

4. Integration & Dependency Analysis

Review APIs, middleware, third-party integrations, data flows, and system dependencies impacting modernization.

Security & Compliance

5. Security & Compliance Review

Evaluate vulnerabilities, identity and access controls, regulatory compliance, governance, and security posture.

Cloud & Future State

6. Cloud & Modernization Readiness

Assess cloud readiness, workload suitability, modernization pathways, migration complexity, and transformation readiness.

Who Delivers

A Senior, cross-functional team

Architect-led — not generalists. The roles that execute your modernisation:

Solution / UX Solution Architect

.NET Architect & Developers

Node.js Architect & Developers

Angular / React Architect & Developers

AWS Cloud Engineers (I & II)

Azure Cloud Engineers (I & II)

DevOps & CI/CD Engineers

Linux & Windows Administrators

QA Automation Engineers

Technology Stacks We Modernize

Application Development

.NET Modernization

Upgrade legacy .NET Framework applications to modern .NET for improved performance, security, scalability, and long-term support.

Application Development

Java Modernization

Modernize Java applications with the latest frameworks and cloud-native architectures to improve performance, scalability, and maintainability.

Frontend Development

Angular Modernization

Upgrade AngularJS and older Angular applications to the latest versions for faster performance, better security, and an enhanced user experience.

Frontend Development

React Modernization

Refactor and optimize React applications using modern architectures, reusable components, and performance best practices.

Backend Development

Node.js Modernization

Upgrade Node.js runtimes, dependencies, and backend architecture to improve application performance, reliability, and scalability.

Database Modernization

SQL Server Modernization

Modernize SQL Server databases to enhance performance, availability, cloud readiness, and support future business growth.

Differentiator

AI-powered modernisation

AI has changed the economics - AI accelerates, humans decide. We apply it across the lifecycle with senior-architect governance.

40-50% faster • Up to 70% lower cost by 2027 (Gartner)

AI-assisted discovery of legacy code & business rules
Automated documentation from undocumented source
AI-supported COBOL → Java & legacy → cloud translation
Agentic migration tasks under human oversight
Automated functional-equivalence test generation

Why Zarthi for Services

Reimagining traditional outsourcing, with industry-first differentiators to drive a seamless delivery experience.

Traditional

Zarthi

Sell manpower and billable hours

Deliver measurable business outcomes and modernization velocity

Reactive support after issues occur

Proactive engineering that prevents issues before they impact business

Fixed scope, rigid contracts, slow change cycles

Flexible, scalable engagement aligned to evolving business needs

Legacy systems remain tightly coupled and hard to scale

Cloud-native architectures built for scalability, agility, and resilience

One-time migration projects with little ongoing optimization

Continuous modernization and optimization included as part of the engagement

Success measured by project completion

Success measured by performance, cost savings, and business impact

Team

Nidhin Nair

CTO

Nidhin is the CTO with 10+ years of experience. He leads Zarthi's technical vision. He expertly transforms business needs into strong AI, front-end, and back-end systems, expanding teams and delivering significant value. With a knack for expanding teams and delivering significant impact, an "11th hour champion", Nidhin consistently pushes innovation.

Nidhin's Team

Our Database Architect DBE is responsible for designing and governing database engineering solutions for enterprise data platforms. Responsible for defining database structures and engineering standards, supporting schema design and data modeling, optimizing database performance and scalability, guiding integration and data flow design, ensuring security and reliability requirements, and maintaining robust and efficient database engineering practices.

Our AWS Solutions Architect designs and implements scalable, secure, and cost-effective cloud solutions using AWS services such as EC2, VPC, S3, RDS, IAM, and EKS while defining architecture standards, guiding cloud adoption, optimizing performance, and ensuring alignment with business and technical requirements.

Our UI/UX Lead leads the design and delivery of intuitive, user-centered digital experiences while guiding design teams, conducting user research, establishing design systems, reviewing design quality, and ensuring consistency, usability, accessibility, and alignment with product and business objectives.

Our DevOps Architect designs and defines enterprise-scale DevOps strategies, CI/CD frameworks, cloud infrastructure, and automation solutions while establishing platform standards, implementing Infrastructure as Code, guiding engineering teams, optimizing software delivery processes, and ensuring the scalability, reliability, security, and efficiency of technology platforms.

Our Azure Solutions Architect designs and implements scalable, secure, and cost-effective cloud solutions using Microsoft Azure services such as Azure Virtual Machines, AKS, Storage, Networking, and Identity Management while defining architecture standards, guiding cloud adoption, optimizing performance, and ensuring alignment with business and technical requirements.

Our GCP Solutions Architect designs and implements scalable, secure, and cost-effective cloud solutions using Google Cloud Platform services such as Compute Engine, GKE, Cloud Storage, and VPC while defining architecture standards, guiding cloud adoption, optimizing performance, and ensuring alignment with business and technical requirements.

Our Product Manager defines product vision, strategy, and roadmaps while gathering business requirements, prioritizing features, collaborating with engineering and design teams, analyzing market and user feedback, and ensuring successful delivery of products that meet customer and business objectives.

Our .NET Technical Lead leads the design and development of scalable web applications, APIs, integrations, and enterprise solutions using .NET technologies while guiding development teams, reviewing code quality, resolving technical challenges, ensuring adherence to architecture standards, and driving successful project delivery.

Our React Technical Lead leads the design and development of scalable web applications and user interfaces using React.js and modern front-end technologies while guiding development teams, reviewing code quality, resolving technical challenges, ensuring adherence to architecture and development standards, and driving successful project delivery.

Our Angular Technical Lead leads the design and development of scalable web applications and user interfaces using Angular and TypeScript while guiding development teams, reviewing code quality, resolving technical challenges, ensuring adherence to architecture and development standards, and driving successful project delivery.

At our organization, DevOps Leads design and govern enterprise DevOps platforms, CI/CD strategies, and automation frameworks. They define scalable, secure, and resilient deployment architectures, establish infrastructure and platform standards, and guide engineering teams in implementing best practices across cloud, container, and automation ecosystems.

Our Java Technical Lead leads the design and development of scalable backend applications, APIs, integrations, and microservices using Java and Spring frameworks while guiding development teams, reviewing code quality, resolving technical challenges, and ensuring adherence to architecture and development standards.

At our organization, Flutter Leads design, develop, and oversee cross-platform application development using Flutter and Dart. They provide technical guidance to development teams, drive implementation best practices, review code quality, and ensure scalable, high-performance mobile and web solutions aligned with business requirements.

Our Node.Js Architect is responsible for designing and governing scalable application architectures built on Node.Js technologies. Responsible for defining backend architecture standards, guiding application and service design, reviewing coding and integration practices, ensuring performance, security, and scalability requirements, supporting deployment and modernization initiatives, and maintaining consistency across Node.Js-based applications.

Our Database Architect DBA is responsible for designing and governing database administration standards across enterprise environments. Responsible for defining database architecture and operational standards, overseeing performance, backup, recovery, and availability strategies, guiding database provisioning and maintenance practices, ensuring security and access control compliance, supporting issue resolution and optimization efforts, and maintaining reliable and efficient database operations.

Our UX/UI Consultant is responsible for defining user experience strategies and designing intuitive, user-centric digital experiences across web and mobile applications. Responsible for conducting user research, creating user journeys, wireframes, prototypes, and high-fidelity designs, ensuring usability and accessibility standards, collaborating with product, engineering, and business teams, validating designs through user feedback, and delivering engaging, consistent, and conversion-focused user experiences aligned with business objectives.

Next Step

Book a Free Modernisation Assessment

No sales pressure — a senior architect reviews your application estate and gives you the shortest credible path forward: which apps, which strategy, and what it costs.

AI-assisted discovery of legacy code & business rules
Automated documentation from undocumented source
AI-supported COBOL→Java & legacy→cloud translation

Case Studies

Explore All Case Studies

Legacy application modernisation is the process of transforming outdated, fragile applications into modern, cloud-native, API-first systems — incrementally and safely, with full business continuity. It updates the code, architecture, infrastructure and data so the system meets current business, security and scalability needs, without the cost and risk of a single big rewrite.

The 7 Rs are Retire, Retain, Rehost, Relocate, Replatform, Refactor (Rearchitect) and Rebuild — with Replace often added. Each is a distinct strategy for a given application, from simple decommissioning to full re-architecture. We assess every workload and assign the lowest-risk option that delivers your business outcome.

Cloud migration is just one part of modernisation — moving an application to the cloud. Modernisation goes further, also changing the architecture, code and data so the system is scalable, secure and maintainable. You can migrate to the cloud without modernising, but that often fails to deliver real value.

It depends on scope, technical debt, codebase size and the number of integrations — from a few lakhs for small initiatives to crores for large enterprise programmes. Because work is sequenced by business value, each phase pays back, and you can start with a low-cost 3–4 week assessment before committing to delivery.

Typically 3 to 9 months, depending on application complexity, codebase size and integration points. It always begins with a standalone 3–4 week Assessment & Roadmap, and the first delivery phase usually produces measurable value within 8–10 weeks — not after a multi-year wait.

Yes. We use the strangler-fig pattern or a parallel-run approach — new functionality is built alongside the existing system so operations continue uninterrupted. Cutover is incremental, with rollback capability at every stage, so business continuity is fully maintained throughout the migration.

AI analyses large legacy codebases to map functional boundaries and business rules, generates documentation from undocumented source, assists code transformation such as COBOL to Java, and creates test suites.

Maps functional boundaries and business rules.
Generates documentation from undocumented code.
Assists code transformation (e.g., COBOL to Java).
Creates automated test suites.
Can accelerate delivery by 40–50%.
Gartner projects up to 70% lower modernisation costs by 2027 under expert oversight.

Compliance is designed into the solution from the assessment phase. We incorporate data residency, DPDP consent management, data-principal handling, audit logging, and the governance and resilience controls required by RBI, SEBI and IRDAI for regulated Indian enterprises.

Well-executed programmes commonly report 228–362% ROI over three years, with 30–50% lower operating costs and 40–60% faster release cycles. The true comparison is against the cost of inaction, as maintaining legacy systems often consumes 60–80% of the IT budget.

Begin with a standalone Assessment & Roadmap — a 3–4 week engagement that can be purchased independently.

Technical audit of your application.
Modernisation roadmap with implementation options.
Effort and timeline estimates.
Costed phased delivery plan.
No obligation to continue after the assessment.

Modernizing legacy applications helps organizations reduce maintenance costs, improve security, accelerate innovation, support cloud adoption, and deliver better user experiences. It also enables businesses to respond faster to changing market and customer demands.

Common indicators include:

High maintenance costs
Slow release cycles
Unsupported technologies
Poor performance
Security vulnerabilities
Limited scalability
Integration challenges
Difficulty finding skilled developers

The decision depends on business value, technical debt, maintenance costs, integration requirements, compliance obligations, and the application's role within the organization. A modernization assessment helps determine the most appropriate strategy.

Cloud migration is often part of modernization. Moving applications to cloud platforms improves scalability, availability, disaster recovery, and operational efficiency while enabling organizations to leverage cloud-native services.

Technical debt refers to outdated code, architectural limitations, and shortcuts that make applications difficult to maintain or enhance. Addressing technical debt during modernization improves software quality, reduces future maintenance costs, and accelerates development.

Costs depend on the application's size, technology stack, complexity, integrations, and modernization strategy. An assessment at Zarthi typically helps estimate investment, timelines, and expected business outcomes before implementation begins.