Legacy Software Modernization Services

Audit defines fixed scope

Your team owns the result

Rollback path stays live

LEGACY SOFTWARE MODERNIZATION SERVICES WE PROVIDE

We trace the codebase, the data model, and the integration points before any code changes happen. You get a rebuild plan grounded in what the system does in practice, apart from any old documentation.

Application Re-Engineering

Application re-engineering covers each module in turn, rewriting onto a current runtime. Characterization tests hold the new code to the legacy system's exact behavior until your engineers take over.

Monolith-to-Microservices Refactoring

Services get exposed through an API gateway one at a time, following the strangler fig pattern across the migration. The result is a codebase of independently deployable units your team controls.

Workloads move onto cloud infrastructure configured for autoscaling and monitoring. Cloud migration for legacy systems reduces the operational overhead your engineers would otherwise carry manually.

Database & Data-Layer Modernization

The data model separates from the application logic built around it over the years. Double-write keeps both databases in sync, and integrity checks compare them before reads switch over at cutover.

We replace point-to-point connections with REST or GraphQL endpoints partners and internal tools can use directly. A new integration that once took several months now fits into a regular delivery cycle.

Interfaces get rebuilt on a current frontend framework. Your team keeps the underlying workflows familiar to the people using them daily, which keeps training overhead low through the transition.

Security & Compliance Hardening

We map SOC 2, HIPAA, or PCI-DSS controls onto the target architecture as the rebuild proceeds, closing gaps that would need a partial legacy rewrite. Your auditors keep the final say on certification.

Post-Modernization Support

Once the system is live, SapientPro stays available for new features and the modernization work that comes next. Your developers receive full documentation, keeping them in control of the system.

GET A SCOPE AND A START DATE

Send over the codebase and a short list of integrations to start the legacy software modernization services audit. What follows is a detailed scope with fixed milestones and a firm price, before any development starts.

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WHEN YOUR STACK NEEDS RE-ENGINEERING

01

Hiring for Your Stack Has Dried Up

The talent pool that supported your codebase a decade ago has thinned out, and that's only half the problem. The senior engineers still on the market actively avoid outdated framework versions on their CV, so each hire takes months to close and the salary band keeps moving up.

02

Every Integration Costs Three Months

A new partner, payment provider, or analytics tool should connect within a sprint. Legacy code that speaks neither REST nor GraphQL turns each connection into its own custom build, repeating the plumbing and pushing features down the backlog.

03

Your AI Roadmap Hits the Data Layer

RAG pipelines, agents, and analytics need a data model they can query directly and reliably. A schema fused inside a legacy monolith stalls every AI initiative at the same point, weeks spent untangling data access before any model gets trained.

04

The System Outgrew Its Last Owner

Legacy codebases that arrive through an acquisition, or survive a founding engineer's departure, carry decisions nobody documented or logic nobody can explain. Each change becomes an experiment, the people who knew the intent left years before.

05

Compliance Moved Under Your Feet

SOC 2, HIPAA, PCI-DSS, and GDPR keep tightening, and architectures that predate strict enforcement of these controls tend to fall short of what auditors now expect. Bolting them onto the legacy system creates new gaps, a rewrite closes them.

06

A Rewrite Started and Stalled

An internal team began migrating to a new stack. Priorities shifted, engineers moved on, and the scope grew well past what anyone had budgeted. Half the system runs on legacy code, half on new, and velocity has dropped below where it started.

WHO WE MODERNIZE LEGACY SOFTWARE FOR

Product CTOs

A CTO whose product roadmap keeps colliding with a legacy codebase, one built before AI features, modern integration protocols, and compliance requirements found their way onto every planning cycle.

SaaS Founders

The original team is gone, the legacy codebase has aged past its support window, and customers keep asking for features that strain an architecture already running close to its limit on every front.

Retail Operators

Custom e-commerce or operations platforms paired with ageing ERP systems, where every partner integration becomes its own project instead of a routine configuration change.

Fintech and Health

A CTO in a regulated industry whose legacy system was built before the current SOC 2, HIPAA, PCI-DSS, or GDPR bar, leaving the architecture short of what auditors and regulators now require from it.

HOW WE MODERNIZE YOUR LEGACY SOFTWARE

Six steps, each with a defined output your team can verify. The audit sets the scope, characterization tests hold the rewrite to the legacy system's behavior, and incremental cutover keeps production live until the last module moves.

  • Step 1

    Code Archaeology

    Before any code changes, the codebase gets traced end-to-end. Data flows, dependencies, and integration points all get mapped against what the system actually does, and that map becomes the foundation for the rebuild plan that follows it.

  • Step 2

    Fixed-Scope Estimate

    Once the audit is complete, SapientPro chooses between legacy code refactoring, replatforming, or rebuilding each module, pricing the work as fixed milestones. The price follows the strategy, both set before any development work starts.

  • Step 3

    Characterization Tests

    Before any module moves, characterization tests record the legacy system's behavior, edge cases included, and set the rewrite's baseline. A co-existence layer lets old and new run side by side, new code passing against those same tests.

  • Step 4

    Incremental Cutover

    Modules move to the target stack one at a time, behind an API gateway shifting traffic via the strangler fig pattern. Any module touching the database runs double-write to both, with integrity checks comparing them before reads switch over.

  • Step 5

    Final Legacy Decommissioning

    The new system having carried full production traffic through a business cycle, the legacy path gets retired. Servers come down, access gets revoked, historical data moves to archive, and your team gets a clean final architecture diagram.

  • Step 6

    Modernization Handover

    Documentation and runbooks transfer to your team alongside the codebase, with knowledge sessions built into the final milestones. From there, your engineers run the system, and SapientPro remains available for the next phase of the work.

LEGACY MODERNIZATION CASES

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sprinkle

Sprinkle

How Sprinkle Cut Costs by 50% and Expanded User Base by 75,000 Through Strategic Optimization

We migrated Thailand's largest water delivery CRM to a custom solution, automating the call center and optimizing order management.

footshop

Footshop

Footshop Webstore Overhaul Case Study

SapientPro rebuilt Footshop’s store, added multi-currency payments, and deployed AWS multi-region hosting to keep the site fast across Europe.

mastrack

From MVP to Powerful GPS Tracking Platform

GPS Platform Upgrade with 30% Subscription Growth

We helped MasTrack rebuild its tracking platform, added real-time features, and automated billing, leading to faster user handling and 30% subscription growth.

piktochart

Piktochart

Frontend and Animation Work for Piktochart Website

We supported Piktochart with custom marketing pages, advanced animations, and performance-optimized frontend development to elevate their visual content platform.

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TECH STACK

ChatGPT
Llama
GPT4All
LangChain
Rasa
OpenAI

ChatGPT

A conversational AI developed by OpenAI that specializes in generating human-like responses, facilitating engaging and contextually relevant dialogues.

IN REVIEWS WE TRUST

I’m most impressed with SapientPro’s development skills. They’ve developed our entire platform, and we didn’t have any in-house specialists to instruct them on how to build it.

Tim Grasmaijer

Tim Grasmaijer

Head of Product, Welcome app

clutchBased

WHY CHOOSE SAPIENTPRO FOR LEGACY MODERNIZATION

01

Production Code as the Deliverable

Each legacy application modernization engagement concludes with a working system in your production environment, documented and ready for your team to extend. The output is the codebase itself, the system you will run and own going forward.

02

A Fixed Price, Set After the Audit

The audit precedes the quote in legacy system modernization services. Once the codebase, data model, and all integrations are mapped, we set a fixed price and a milestone plan. A codebase more complex than indicated remains our cost to absorb.

03

Direct Experience With Your Stack

Most legacy codebases we see have the same problems underneath. A framework that stopped getting updates two versions ago. A frontend the team avoids. An ERP tangled into the application layer. We've seen those patterns enough times to spot them in the audit.

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