Legacy migration

Monolith decomposition

Cloud-native re-architecture

Modernize the platform. Don't break the business.

The system that got you here won't get you to the next decade. But ripping it out and starting over is rarely an option. We modernize legacy platforms incrementally, replacing critical components without disrupting customers, operations, or revenue.

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See migrations we've shipped

Clients:

Years modernizing enterprise stacks

Clutch rating

The challenge

Your Legacy Platform is Costing You Deals.

A new opportunity appears, but your platform needs six months to support it. A modern competitor ships in six weeks. The system that got you here is now slowing down what comes next.

Technical debt costs more than maintenance. It slows delivery, kills velocity, and keeps teams fixing the past instead of building what comes next.

Every release takes a quarter, every change carries fear

A monolith with no test coverage and tribal knowledge bottled up in two senior engineers means even small changes ship slowly. The team is exhausted, the roadmap is shrinking, and competitors are deploying daily while your release calendar runs in months.

Infrastructure costs that grow faster than revenue

On-prem hardware approaching end-of-life, vendor licenses renewing at 30% increases, and a cloud bill that nobody can explain because the architecture predates anyone who currently works here. The platform costs more every year and does less.

Hiring strangled by a stack nobody wants to learn

Senior engineers don't want to spend their careers on Java 6, ColdFusion, or Oracle Forms. You can't hire, you can't retain, and the people who do know it are one resignation letter from being a single point of failure.

We modernize legacy platforms without disrupting the revenue they still run.

What we build

Migrations, refactors, and re-architectures designed to ship without breaking what works

We modernize legacy platforms through incremental migration, refactoring, or re-architecture, with every change built to be safe, observable, and reversible.

Legacy assessment & modernization roadmap

Assesses architecture, dependencies, costs, and risks, then turns them into a phased modernization roadmap.

Strangler-pattern incremental migration

Build the new platform alongside the old one, shift traffic gradually, and retire legacy parts only after they work in production.

AI-ready codebase refactoring

Most codebases weren't built for AI. We refactor yours for AI-readiness, clean boundaries, coherent structure, optimized token usage.

Cloud-native platform re-architecture

Monitoring, alerts, logs, dashboards, tracing, and runbooks that help teams spot issues early and resolve incidents faster.

Technologies & platforms

Kubernetes

AWS

GCP

Azure

Terraform

Docker

Java / Spring Boot

Python

NestJS

OpenTelemetry

Kafka

Kubernetes

AWS

GCP

Azure

Terraform

Docker

Java / Spring Boot

Python

NestJS

OpenTelemetry

Kafka

Kubernetes

AWS

GCP

Azure

Terraform

Docker

Java / Spring Boot

Python

NestJS

OpenTelemetry

Kafka

Kubernetes

AWS

GCP

Azure

Terraform

Docker

Java / Spring Boot

Python

NestJS

OpenTelemetry

Kafka

We don’t replace blindly.
We modernize safely.

Industry research consistently puts large-rewrite failure rates above 50%. We have rescued enough of them to know why: the new system never quite matches the old one's quiet edge cases. Strangler-pattern migration validates each piece in production before retiring its predecessor. Slower in headlines, faster in reality.

Migration Strategy

Risk Reduction

Incremental Modernization

Choosing your route

Refactor, re-platform, or rebuild which one fits?

Engineering risk: Low
Best when: Code is salvageable
Outcome: Faster ship cadence

Improve test coverage, modularize the monolith internally, upgrade frameworks, eliminate dead code. The system stays but becomes maintainable. The right call when the code is fundamentally sound but neglected.

Engineering risk: Medium · controlled
Best when: System is revenue-critical
Outcome: Modern stack, zero downtime

Build the new platform alongside the old one. Migrate traffic module by module using feature flags. Best for systems that cannot afford disruption.

Engineering risk: High
Best when: Domain has fundamentally changed
Outcome: Greenfield architecture

A clean rewrite only makes sense when the old model no longer fits the business. Use sparingly. We’ve rescued more rebuilds than we’ve recommended.

How AI Accelerates Technology Modernization

We help organizations use data, automation, and expert guidance to identify opportunities, streamline execution, and continuously improve systems.

System Discovery & Audit

Quickly maps systems, dependencies, and technical debt.

Accelerated Delivery

Speeds development through AI-assisted analysis and automation.

Validation & Quality Assurance

Detects issues earlier with automated testing and validation.

Smarter Decision-Making

Uses data-driven insights to prioritize modernization initiatives.

Continuous Optimization

Continuously monitors performance and identifies improvement opportunities.

Risk Reduction

Minimizes uncertainty through intelligent analysis and validation.

How we work

Assess first. Migrate incrementally. Retire legacy only when its replacement is proven.

We assess the platform first, plan the safest migration route, rebuild in controlled phases, and retire legacy only when the new system is proven in production.

Book a Discovery Call

Discovery

We audit your stack, workflows, integrations, and bottlenecks.

Build

We develop production-ready systems in focused, iterative phases.

Planning

We define a clear roadmap with priorities, milestones, and architecture direction.

Scale

We optimize performance, reliability, and operations for higher growth.

By the numbers

A creative partnership you can trust

400

M+

GMV running on platforms we've re-architected

Years modernizing enterprise platforms

Clutch rating

.9%

System Uptime Achieved

Related work

Modernizations in production

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SFCC re-architecture: 30–40% faster page loads, 7,500 orders per hour, zero downtime at peak

Brands' monolithic SFCC platform couldn't scale for Black Friday traffic. We re-architected it into a headless microservices system and it handled peak season without a single incident.

eCommerce

Commerce Engineering

Competitor data intelligence case study thumbnail

Competitor data intelligence accuracy from ~70% to 95%+

Their third-party competitive intelligence tool couldn't keep up, rigid workflows that didn't fit how the business worked, and accuracy stuck around 70%. We designed, built, and deployed a custom competitor analysis system that outperformed the tool it replaced.

Fashion & Retail Tech

Software Engineering

Elasticsearch cluster optimization case study thumbnail

Elasticsearch cluster optimized from 12 nodes to 3, cutting infrastructure costs by 83%

Stabilized a high-traffic search cluster under heavy load while reducing monthly infrastructure spend from $5,000 to $850.

Restaurant Tech

Cloud & Infrastructure

View all case studies

Testimonials

What our clients say

Brice Gumpel

CEO & Co-founder, Seated

One thing that stood out to me is how well they understand not just the technical requirements, but also the actual business context and the goals behind what we're building.

Brice Gumpel,

CEO & Co-founder, Seated

We're very grateful for the work of Exper Labs and look forward to a long-term relationship.

CEO

Fashion Retail Brand

We are very impressed with their strong development abilities and cost-effectiveness. We measured the success by tracking their deliverables and through QA testing, and Exper Labs was able to pass some of our code quality testing, timelines, and milestones to produce great results.

Vadim Tarasov

CEO, Slick Development

Engineers at Exper Labs are incredibly competent and easy to work with, and I would trust them to handle the most sticky and complex issues you could throw at them.

Conchita Franco

Founder, Caromi

I've had a very good dialogue with Farhan and his team all throughout the process, with quick response and elaborate feedback. We are very happy with the first version of the app.

Ruben Hansen

Project Manager, Seafarer CV

We had numerous challenges wrt software development including speed of delivery, quality of code and cost. We worked with Exper Labs to help find a solution that helped us achieve our solution within cost and high quality.

Nauman Jaffar

CEO, Markitech

Modernize the platform. Don't break the business.

The challenge

Your Legacy Platform is Costing You Deals.

Every release takes a quarter, every change carries fear

Infrastructure costs that grow faster than revenue

Hiring strangled by a stack nobody wants to learn

Migrations, refactors, and re-architectures designed to ship without breaking what works