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Software Product Modernization Services

CHI Software helps product companies modernize software platforms that have outgrown their original architecture. Our software product modernization services cover legacy code refactoring, cloud migration, data layer redesign, and DevOps work, delivered in separate phases to maintain product availability while the live system keeps serving customers.

Most of our clients are CTOs, VP Engineering leaders, and product owners dealing with the same set of pressures: mounting technical debt, release cycles that stretch longer every quarter, and a platform that needs to be AI-ready before the next budget cycle.

OUR CLIENTS

  • Livegenic
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  • MediaMarkt
  • banyan
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  • Minespider
  • vodafone
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  • Trapelo
  • Foresight Mobile
  • Telus
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We partner with product companies across FinTech, EdTech, HealthTech, AdTech, Retail, and SaaS. Our clients range from scale-ups carrying technical debt from their first growth wave to enterprises whose core platforms now constrain new strategy. They share one trait: they cannot afford to stop the product to fix it.

When Legacy Software Products Start Blocking Growth

Legacy products rarely fail on a fixed date. Deployments that used to take a day stretch into two weeks. Tickets pile up faster than the engineering team can close them. New features run into resistance because no one is sure what will break. At some point, the platform stops supporting business strategy and becomes a constraint on growth.

  • Slow Feature Delivery

    Release cycles slow down for several reasons at once:

    -Tight coupling between modules prevents independent releases

    -The test suite is flaky or misses coverage in core areas such as authentication and billing

    -Manual deployment steps depend on one engineer who knows the sequence

  • High Maintenance Costs

    Outdated platforms quietly drive up hosting and maintenance costs. Infrastructure sized for an older traffic pattern keeps billing for capacity that no longer matches demand. License fees accumulate on legacy components that the team has no time to replace. Engineers who know the older frameworks are harder to hire each year, and their salaries continue to climb.

  • Poor Scalability and Performance

    A product that worked well for 10,000 users often fails at 100,000 users. Database queries that were quick on small tables become performance bottlenecks for every request. Peak load reveals race conditions that never surfaced in testing. Without a path to cloud-native infrastructure, the only option is bigger servers, which only delay the problem and do not solve it.

  • Outdated UX and Low Adoption

    User expectations evolve faster than legacy interfaces. Screens that looked normal five years ago now feel sluggish and behave differently on phones, tablets, and desktops. Sales teams hear the same objection from prospects repeatedly. Customer success teams watch adoption flatten in accounts that used to expand. So, the UI/UX layer becomes a commercial issue, not just a design one.

  • Security, Compliance, and Integration Gaps

    Older platforms carry security debt the same way they carry technical debt:

    -Dependencies miss critical patches

    -Audit logs have holes

    -Integrations rely on credentials passed in ways that would fail any current security review

    In regulated industries, the gap between what auditors require and what the system can demonstrate continues to widen, directly affecting readiness for SOC 2, ISO 27001, GDPR, and NIS2.

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Outdated software creates compounding drag. We modernize legacy systems, architectures, and pipelines while the product continues to run.

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What Our Software Product Modernization Services Cover

Modernization usually involves multiple workstreams. Architecture, infrastructure, data, delivery, and occasionally the user interface advance simultaneously. Our software product modernization solutions are organized into six tracks that can run together or separately, depending on the scope of the application modernization.

The split reflects how the work actually happens rather than a marketing taxonomy. Each track is shaped by real business needs and the operational costs the client wants under control.

Product Modernization Consulting

We begin by assessing your current assets and their costs. Codebase, infrastructure, and the delivery process are usually the team’s main concerns. We then rank what to fix first based on impact, risk, and alignment with your business goals. Every modernization project we run starts here, including larger software product modernization solution engagements.

Application and Architecture Modernization

Most monoliths we see are not bad code. They are good code that grew without a plan. We split the codebase into modular services where it matters and preserve functioning components as they are. The pattern follows the product: microservices for one product, event-driven for another, layered design for a third. We match product to pattern, not pattern to slide.

Technology Stack Modernization

Old technology stacks increase hiring costs and complicate integrations. They also block useful new technologies, including machine learning libraries and modern observability. We standardize on the current framework versions that the team can realistically hire for:

  • Backend: Node.js, Python, .NET, Java, Go
  • Frontend: React, Vue, Angular, Next.js

Choices weigh hiring market, ecosystem support, and what the existing systems already speak.

Cloud and Platform Modernization

Lift-and-shift looks cheap on paper and gets expensive about six months in.  We move workloads to AWS, Azure, or Google Cloud with managed services, autoscaling, and cloud native deployment patterns, keeping the architecture portable enough to avoid vendor lock-in and keeping cloud costs under control over time.

Data and Integration Modernization

The biggest gains often hide in the data layer: pipelines strung together over the years, ETL jobs no one fully understands, and integrations held together by hope. We rebuild pipelines, replace legacy ETL with stream processing, and rewrite integrations as contract-first APIs. AI and real-time analytics work bring real benefit only once this layer is solid.

DevOps, Security, and AI-Ready Modernization

Without proper pipelines, modernization gains leak straight back out within a year. So we put in CI/CD, infrastructure as code, test automation, and security scanning that runs on every commit. Container platforms and observability go next. The data and platform layers are also prepared for AI workloads, so AI features can ship later without another round of modernization.

What You Get From Software Product Modernization Services

Modernization is easier to defend at the board level when outcomes are framed in terms of metrics the finance team already tracks. The benefits below are the ones our clients keep reporting back. They show what product modernization solutions actually deliver in practice, beyond architecture diagrams.

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Faster Release Cycles

Deployment frequency typically increases three to five times after modernization. Quarterly releases shift to weekly or daily. Smaller, more frequent releases reduce risk per change and shorten the time from idea to revenue.

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Lower Technical Debt

Modernizing essential modules and replacing brittle legacy components eliminates the hidden costs that slow every project. Engineers stop spending half their time working around historical decisions and start building features that move the product forward.

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Better Reliability and Uptime

Modern systems with redundancy, health checks, and automated recovery typically maintain uptime above 99.9%. Incidents that once required an all-hands incident bridge become controlled events that the platform handles on its own. When reliability is directly tied to revenue or compliance, it becomes the most valuable outcome, alongside higher deployment frequency, lower failure rates, and faster recovery.

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Lower Infrastructure and Support Costs

Right-sized cloud workloads, retired legacy licenses, and reduced manual operations lower infrastructure and maintenance costs by twenty to forty percent in most cases. McKinsey research links technical debt to higher IT costs and pressure on EBITDA. Savings often fund modernization within twelve to eighteen months while improving cost control over time.

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Better Budget Predictability

Modernized platforms generate fewer surprise costs:

-Capacity planning becomes data-driven instead of reactive

-Compliance audits run faster because the controls are already in the platform

-Finance teams get a more honest picture of what the product actually costs to run

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Cut infrastructure and maintenance costs without disrupting current business performance.

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Software Product Modernization Solutions We Apply

A full rewrite is almost never the right call. Rewrites run longer than expected, exceed the budget, and tie up the existing product in years of risk during which it cannot evolve.

As a software product modernization company, we apply solutions built on phased change that deliver something usable at every step. The goal is to improve performance, restore agility, and protect efficiency throughout the modernization project, not to gamble the platform on a single cutover.

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Incremental Modernization

We modernize one capability at a time, starting with the modules that carry the most operational risk or block the most business value. Every phase ends with software running in production. The team learns from each delivery, the roadmap adjusts to real feedback, and the business never has to live through a high-risk cutover. That is how our product modernization solutions stay safe at scale.

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Re-Architecture For Scale

When the system caps out, we redesign around clear service boundaries, asynchronous communication, and stateless workloads. The transition uses the strangler fig pattern: new capabilities take over behind a stable interface, and old components retire only after the new ones prove themselves in production. A reliable software product modernization partner plans the transition so nothing falls off a cliff.

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Refactoring Critical Modules

Some parts of the platform are too risky to rewrite from scratch. Payment processing, identity, and core business logic usually fall into this category. We refactor these modules in place, fixing structure, test coverage, and observability while preserving the behavior the business depends on. It is one of the lower-risk software product modernization solutions available and delivers most of the benefits of a clean codebase without the disruption of replacement.

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Cloud Migration and Replatforming

Moving servers is the easy part. The real work is replatforming: managed databases, container orchestration, and serverless, where it fits. We also handle the operational details that often break migrations, such as securing the new environment and writing runbooks that the on-call team can actually use at 3 AM. After handover, the team operates the platform on its own.

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Phased delivery, clear milestones, no big-bang rewrites.

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How We Modernize Software Products

Our modernization process gives CTOs, CIOs, and CEOs visibility at every stage. Five phases, each with its own deliverables, owners, and pass criteria. Leadership never has to ask where things stand.

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  1. Assess Current Architecture and Technical Debt Phase one is an audit: code, infrastructure, data layer, delivery practices, and on-call patterns. We map what is fragile, what is wasteful, and where modernization efforts deliver the highest return when applied first. The output is a single document that finance and engineering can both work from.

  2. Align Modernization With Business Priorities Findings matter only when they connect to outcomes. We translate the audit into a roadmap that respects revenue goals, compliance deadlines, and product strategy. Stakeholders approve the plan before any execution begins.

  3. Modernize In Phases With Minimal Disruption Each phase delivers a working improvement without breaking the rest of the platform. We use: -feature flags to toggle new capabilities without redeploying -parallel deployments to run old and new components side by side -gradual traffic shifting to migrate users in controlled batches Every change has a defined rollback path before it ships.

  4. Validate Performance, Reliability, and Security No phase ships without proof. We require performance benchmarks, reliability targets, and security checks before closing a phase. Load and penetration testing runs where the product demands it, and we verify compliance against the standards each industry requires. If metrics do not meet the agreed thresholds, the phase does not close.

  5. Launch Monitor and Optimize Continuously Launch is not the finish line. We deploy monitoring tools with alerts and dashboards so the team can observe the system in production, then optimize against real usage patterns. The modernization strategy advances alongside product and business development.

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Align modernization with long-term digital strategy in phases that protect continuity.

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Selected Software Product Modernization Case Studies

The cases below show how our software product modernization works across different industries and platform types. Each one combined product modernization with cloud, data, and DevOps work into a single delivery plan, the kind of integrated execution a mature software product modernization company can assemble within a single team.

Financial Software Modernization for a US Wealth Management Platform

A US wealth management firm had a trading platform on aging infrastructure that kept missing latency targets when markets opened. We rebuilt the core architecture, moved workloads to cloud-native, and reworked the data ingestion layer for real-time processing.

Results:

-99.95% uptime after stabilization

-4x previous transaction volume processed without performance loss

-SOC 2 and FINRA-aligned controls passed in the first audit cycle

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K-12 Digital Learning Platform Modernization

An education technology client kept tipping over during enrolment season, when traffic could grow tenfold inside a week. We split the monolithic backend into bounded services, moved everything onto a multi-tenant cloud setup, and reworked content delivery.

Results:

-500,000 concurrent learners served without degradation

-Deployment frequency moved from monthly to weekly

-Enrolment-period incidents reduced to near zero

How Online Learning K-12 Platform Broke Free from Its Monolith

Data Management Platform Modernization for AdTech

An Italian AdTech company had unreliable data pipelines that kept breaking campaign forecasting for enterprise advertisers. We replaced the existing ETL with an event-driven pipeline on Kafka, redesigned the integration layer around contract-first APIs, and added machine learning models for budget optimization.

Results:

-10-20% higher ROI reported by enterprise advertisers

-Zero outages across the stabilization period

-Forecasting accuracy lifted enough to support new enterprise contracts

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Why Choose Us As Your Software Product Modernization Partner

Picking a software product modernization partner is a decision with multi-year consequences. The points below answer the questions we hear most often from engineering and economic buyers weighing run vs. change trade-offs and the cost of staying on the current platform.

ROI-Focused Modernization Strategy

Every engagement starts with a clear view of the financial case. Assessment defines expected savings, revenue protection, and risk reduction, then tracks them through delivery. Leadership receives a modernization business case that holds up in board discussions rather than a technical wishlist that depends on executive buy-in.

Senior Engineers With Product Modernization Experience

The engineers we put on modernization teams are senior practitioners who have rebuilt platforms in production, not generalists picking up the domain along the way. CHI Software has:

  • 800+ engineers globally
  • 80+ AI and ML specialists
  • 14 PhDs across the modernization stack

Strong Architecture, Cloud, Data, and UX Capabilities

Modernization rarely respects discipline boundaries. A cloud migration changes data design. A data redesign changes the UI. A UI overhaul changes the API contract. Architecture, cloud, data, DevOps, and UX expertise all sit within the same team here, so trade-offs are resolved within the project rather than being escalated across vendors.

Transparent Delivery and Ongoing Support

Clients see weekly demos, milestone status, and a handover checklist with runbooks at every phase. After launch, ongoing support tiers align with the product’s operational needs, ranging from reactive maintenance to dedicated platform engineering. 

OUR AWARDS AND CERTIFICATIONS

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ai excellence award
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aws certified
designrush AI Award

These credentials reflect the standards we apply to every modernization project, not separate marketing achievements.

Technologies, Platforms, and Compliance

As a software product modernization company with a broad platform footprint, we update the stack we recommend as new tools mature and older ones lose support. Every engagement adapts to what the client already runs and where the product needs to go, with enough flexibility to fit procurement constraints and existing vendor relationships.

Cloud and Infrastructure
  • Cloud: AWS, Microsoft Azure, Google Cloud Platform
  • Containers and orchestration: Kubernetes, Docker, Helm
  • Infrastructure as code: Terraform

Cloud-agnostic, where it serves the client, provider-specific, where managed services pay off clearly.

Frontend and Backend Stacks
  • Frontend: React, Next.js, Vue, Angular
  • Backend: Node.js, Python, .NET, Java, Go

Performance requirements, hiring availability, and the existing systems the new code has to integrate with all weigh in on the decision.

Data and Integration Layer
  • Databases: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch
  • Streaming and analytics: Apache Kafka, Snowflake, Databricks

The data architecture follows the product’s actual access patterns, not a default reference design.

Security and Compliance Standards

ISO 27001, SOC 2, GDPR, HIPAA, PCI DSS, and the regional standards relevant to the product. Security controls go into the platform from the first phase, not bolted on at the end.

Partners Who Believe in Us

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One of the standout qualities of CHI is their accessible management team. Lately, I approached the CHI team for guidance on AI/ML and AI Assistant for a proof of concept our development team is creating.

Not only did they agree to help, but they also provided a complimentary webinar for the TAC Technology team, sharing their knowledge in AI/ML and in building AI Assistant. ​

Such support and generosity demonstrate their dedication to our success.

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Gennadiy Vaksman

Director, Engineering at TELUS Agriculture & Consumer Goods

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CHI Software's team has impressed us with their exceptional expertise and deep knowledge in generative AI. Their specialists are not only highly educated but also demonstrate an advanced understanding of the latest AI trends, particularly in Large Language Models (LLMs) and cutting-edge AI systems.​

What sets CHI Software apart is their ability to stay at the forefront of AI innovation, consistently providing expert insights and creative solutions. Their professionalism and intellectual rigor have been invaluable, making them a trusted partner for our AI-driven initiatives. We highly value the depth of their knowledge and forward-thinking approach.

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Michael Burian

Founder and CEO at New Digital Intelligence GmbH​

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I am very pleased with the exceptional work delivered by the CHI Software team on our Workspace customer portal project. Their business analysis, insights and technical implementation expertise has been instrumental in developing a sophisticated platform, that serves our 70+ London locations and enhances the overall experience of our customers.

Their ability to translate complex business needs into practical solutions was particularly impressive, alongside event management, community engagement features, and building access system integrations.

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Chris Boultwood

​​Head of Technology at Workspace

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Modernize on your terms, at your pace, without operational disruption.

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FAQs about Software Product Modernization Services

  • How long does software product modernization take? arrow

    Assessment runs four to six weeks. Modernization then proceeds in phases, each lasting three to six months. Most full programs take nine to eighteen months, depending on platform size and the required depth of the modernization strategy.

  • How much does product modernization cost? arrow

    Cost depends on platform complexity, scope, and how quickly the business needs to move. The assessment phase produces a detailed estimate before any execution starts. Most clients recover a substantial portion of program costs through infrastructure and maintenance savings within the first eighteen months.

  • Can you modernize without downtime? arrow

    Yes. We maintain live product availability through phased delivery, parallel deployment, and gradual traffic migration to avoid downtime. High-risk changes have a defined rollback path before they ship.

  • Do you replace the entire product or modernize incrementally? arrow

    Almost always incrementally. We modernize step by step because full rewrites increase risk and postpone business value for years. As your software product modernization partner, our goal is to keep the product generating revenue while we improve it.

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