Data Modernization Services

Data modernization solutions that help modernize legacy data platforms, improve governance, automate pipelines, and build secure, scalable foundations for analytics and AI.

OUR CLIENTS

Data Modernization Solutions For AI-Ready Growth

Outdated data infrastructure slows decision-making, limits models, and silently raises costs across the business.

AI makes good information better and bad data worse. If your pipelines are unreliable or the info is scattered across ten systems with no clear owner, AI will surface those problems faster than anything else.

Before your team invests in models, you need a data estate that is consistent, well-governed, and easy to maintain.

Companies that allocate more tech spending to change, without neglecting run, create a competitive advantage because their run-based infrastructure costs at least 20 percent lower than other organizations.

So, that’s the turning point:

Data Assessment and Board-Ready Strategy

We begin by discovering what you currently own: your data sources, your pipeline dependencies, the gaps in your quality, and your concealed technical debt. We end with a prioritized modernization roadmap that details your leader’s stages, costs, and metrics.

Legacy Data Platform Modernization With Low Downtime

Moving off a legacy data platform is the part most companies fear, which is why organizations often partner with a data platform modernization services company. We migrate in stages, test each piece before cutting over, and always keep a rollback option in place. Your business keeps running while the migration happens around it.

Data Integration and Pipeline Automation

One of the most frequent and costly pain points for teams is fragile pipelines. We can replace the manually constructed pipelines with an automated pipeline that runs periodically, notifies when something is wrong, and self-heals without manual intervention.

Data Governance, Security, and AI Readiness

In today’s world, your data infrastructure will need to satisfy regulators, pass auditors, and deliver outputs that AI can trust, in line with GDPR, NIS2, and ISO 27001. We build the data governance framework defining ownership, lineage, quality, and access for your entire data estate.

Your data infrastructure defines whether AI delivers or disappoints. Before investing in models, find out exactly where your data estate stands.

Get a Data Readiness Assessment

Our Board-Ready Data Modernization Process

We follow the six-step process on every engagement. Each step has a clear output, so nothing moves forward until that output is reviewed and signed off.

Step 1: Aligning Business Goals, Risks, and Data Debt

Firstly, we establish what success means for your organization, whether it’s faster reporting, reduced infrastructure cost, ready for AI, compliant, or a mixture of these. We will document the business risks of the current state and define the constraints for all architecture decisions, with a risk assessment signed before sign-off.

Step 2: Auditing Your Current Data Estate and Dependencies

All sources, pipelines, integrations, and storage systems are mapped. Upstream/downstream dependencies are documented. The most problematic areas are identified, along with the scale of the technical debt necessary to fix them, prior to commencing modernization.

Step 3: Designing the Target Architecture and Migration Roadmap

Based on the audit results, a target architecture is designed for performance, scalability, governance, and vendor independence. The migration is split into phased, testable stages, each delivering value independently.

Step 4: Modernizing Platforms, Pipelines, and Integrations in Phases

We implement this roadmap through tangible, phased iterations. Every phase delivers a specific segment of your data estate, validates the delivery against predefined acceptance criteria, and leaves the remainder of your environment untouched until the following phase is completed.

Step 5: Validating Quality, Security, Performance, and Recovery

We’ve got all the validations needed before go-live. Data quality, tests against your production data baselines, security tests against your compliance requirements, performance against your SLAs, and disaster recovery to verify your rollback strategy.

Step 6: Scaling With Support, Governance, and Continuous Improvement

At the end of the project, your team gets full documentation, runbooks, and everything needed to run the platform without outside help. Governance processes stay in place so quality standards don’t quietly drift back to where they started.

A phased roadmap means your operations stay live while the modernization happens around them. See how we sequence the work before you commit to anything.

Request a Phased Migration Plan

Business Benefits of Data Modernization Services

Data modernization delivers returns across the entire organization, from the engineering team that maintains the platform to the CEO who depends on the insights it produces.

Faster Access To Trusted, Usable Data

When pipelines run reliably, and quality standards are enforced at the source, every downstream consumer benefits. Analysts spend less time validating figures and more time working with them. Reports arrive on time. Dashboards reflect the current state of the business.

Lower Costs and A Clearer Run Model

For legacy systems, hidden costs include the additional engineering effort required for interventions, incident response, and general firefighting. This modern approach can convert unpredictable maintenance costs into an understandable “run” cost and provide operational flexibility.

Scalable Data Platforms For Growth

The scalability of cloud-native depends on your needs. If the volume and analytical demands on your platform begin to increase, your infrastructure can scale with them without the need for a full rebuild or an artificial cap, as found in most legacy systems.

Stronger Governance, Security, and Auditability

If we define owners, automatically capture lineage, and implement role-based access, we now have a data estate that can hold up against a regulatory investigation or an internal audit without weeks of back-channel investigation.

Faster Decisions and Better Analytics

Clean, integrated, consistently structured information makes analytics faster and less expensive. Teams that were previously blocked by preparation work regain the capacity to focus on data-driven analysis. Advanced analytics and machine learning projects that depended on better information quality became viable.

Greater AI Readiness Without New Data Debt

Information quality is among the most common reasons AI initiatives fail to deliver on their business case. A well-governed, modernized platform provides the consistent, high-quality inputs that AI and machine learning models require.

Most teams see faster reporting and lower storage costs within the first 60 to 90 days of a phased engagement, not only after full implementation.

See How We Deliver Early ROI

Data Modernization Tech Stack for Low-Lock-In Delivery

Architecture & Business Logic
- Java
- .NET
- Python
- Node.js
- Go
- Microservices
- API-first
- DDD
- Hexagonal
UI/UX Modernization
- JavaScript
- TypeScript
- React
- Next.js
- Angular
- Vue.js
- Adaptive & Responsive Design
- Narrative and User Journey
- UI Prototyping
Mobile Modernization
- Flutter
- React Native
- Kotlin Multi Platform
- Swift
- Kotlin
- Objective-C
- Java
Cloud & Infrastructure Modernization
- AWS
- Azure
- GCP
- Kubernetes
- Docker
- Terraform
- Hybrid Cloud & Multi-cloud
- Cloud Migration
- Cost Optimization
Integration & Ecosystem Connectivity
- REST
- GraphQL
- gRPC
- API Management
- Kafka
- RabbitMQ
IoT & Embedded Modernization
- C++
- Qt
- Embedded Linux
- RTOS
Enterprise Platforms & Extensions
- SAP
- Microsoft Dynamics 365
- Salesforce
- Oracle
Data Processing & Analytics
- Apache Spark
- Airflow
- Snowflake
- Databricks
- PostgreSQL
- MongoDB
- Power BI
- Tableau
- Looker
AI & Intelligence Enablement
- Generative AI
- Agentic & Multi-Agentic Systems
- Conversational AI (Chatbots, Assistants)
- NLP
- Computer Vision
- Predictive Analytics

Data Modernization Case Studies with Measurable ROI

All cases

ERP Modernization for K-12 Schools

A cloud-based K-12 ERP modernization initiative that unifies HR, finance, and payroll operations in a single system to improve compliance and operational control for school districts.

Classifieds Platform Modernization (Web & Mobile)

High-traffic marketplace performance improved through a classifieds platform upgrade that supports stable operation and ongoing delivery across web and mobile.

Financial Planning Software Modernization

CHI Software led a successful financial software modernization for a SaaS platform, boosting engagement by 60% and enabling secure, scalable growth.

Data Modernization Services for Industries

Healthcare Regulations are more stringent in the healthcare field than in any other industry. Patient information, clinical processes, and operational reporting are deeply interwoven, highly regulated, and often found in systems that were never originally designed to share data. We ensure that, for all of our healthcare clients, three things stand out: auditing reliable compliance, seamless interoperability across EHR and HL7/FHIR interfaces, and a dependable data architecture on which both clinical and operational groups can rely for mission-critical decisions.
EdTech The majority of EdTech companies are currently drowning in more learner data than they can use. Learner engagement signals, assessment results, progress metrics, and behavioral patterns accumulate within individual tools, but these valuable inputs rarely reach product managers and analysts who can act on them due to the lack of a unifying layer below. Our data modernization work for EdTech clients focuses on connecting those sources to governed, AI-ready platforms that make personalization more reliable, product iteration faster, and third-party integrations and content platforms more stable, enabling them to be relied on at scale.
FinTech In financial services, data infrastructure is a regulatory matter as much as an engineering one. Audit trails, lineage documentation, access controls, and processing throughput are requirements, and the cost of getting them wrong shows up in compliance findings. We modernize legacy core banking integrations, payment processing pipelines, and regulatory reporting environments, with full end-to-end lineage tracking and the throughput needed for real-time risk and fraud detection.
Real Estate Information in most real estate businesses grows in layers: the CRM not linked to the property portal, market feeds not integrated with transaction history, and monthly operational reports compiled manually due to the lack of a single repository for all the information. Modernization services for real estate clients begin with consolidating sources to an integrated layer. Portal speeds are boosted, reporting cycles are compressed, and executives gain real-time market exposure to speed commercial decision-making.

Our Awards And Certifications For Procurement And Enterprise Trust

Why CHI Software As Your Data Modernization Consulting Firm

Phased Migration for Zero Downtime
Modernize without pausing your business with a trusted data modernization consulting company. Our phased migration approach replaces risky transitions with controlled, incremental upgrades, so your mission-critical operations stay live with 99.9-99.95% uptime during migration.
Rapid ROI Through Milestone Delivery
Achieve measurable results immediately by using milestone-based delivery. High-impact data is delivered first so you will begin realizing gains, such as rapid reporting and reduced storage costs, within 60-90 days rather than at the end of the implementation.
Cloud Agnostic Freedom and Zero Lock-in
You will own your data and infrastructure. We build on open standards and containerized architectures, giving you flexibility to operate across AWS, Azure, or GCP without dependency on any single provider. Backed by IaC via Terraform in the client’s own repository, 80%+ test coverage, and proven independence in three post-offboarding cases.
Unified Expertise for End-to-End Ownership
Get rid of the handoffs and mismatch. Owning the process from start to finish, from a single, cross-functional team of a skilled data modernization provider-architecting, engineering, cloud, and DevOps will drive speed and understanding.

What Our Clients Say About Our Data Modernization Company

The CHI Software team successfully developed upgraded versions of the company's products with new functionalities and features. Thanks to these contributions, the company was able to increase its number of platform users and deepen the level of their engagement.

Salman Eskandari

Founder at Albert AB

CHI Software played a crucial role in optimizing our mobile application, ensuring seamless functionality across iOS and Android platforms. Initially brought in for a short-term fix, their expertise quickly became indispensable as they resolved critical publishing issues, modernized outdated libraries, and enhanced navigation. Their proactive approach in identifying and fixing hidden flaws significantly improved app stability and usability. CHI Software’s adaptability, deep technical knowledge, and ability to streamline a previously fragmented system have made them a trusted technology partner in this project’s success.

Nick Valstar

Lead Data Engineer at Cefetra Group B.V.

At Imagine Learning, we highly value our collaboration with CHI Software. Their skilled AI and generative AI engineers have significantly enhanced our K–12 education solutions.

With CHI Software’s help, we have developed tools for providing feedback on student writing, mechanisms to create learning content based on reading education strategies, and a series of chatbots that provide efficient and accurate information access for our teams. Their ability to deliver specialized applications swiftly demonstrates their agility.

Jason Fournier

VP, Product Management, AI Initiatives at Imagine Learning

Well, we met the CHI Software team 2 years ago and started off with a single web application. Since then this company is our reliable software development partner, be it something fast and easy, like a feature update or a profound architecture building. We have our own technical team in-house, still, when we are in need of a partner who can urgently perform some extra development or require quality headhunting, CHI Software comes in. Always on time.

Olek Shestakov

President at InsurTech Startup

The mobile application that CHI Software developed enhanced the company’s processes through automatization which satisfied client’s goals. The team exhibited efficient workflow and maintained transparency throughout the engagement. They went above and beyond to deliver work in a timely manner.

Frederic Jacob

IT application management manager at Labgroup

Still deciding between replatform, rebuild, or phased migration? The right approach depends on your compliance constraints and runway. A scoped assessment maps your options before you choose.

Start with a Scoped Data Assessment

FAQ

What are Data Modernization Services?

These are professional data modernization consulting services that help organizations upgrade their legacy data infrastructure and underlying technology to cloud-based, scalable, and AI-ready systems.
Why is Data Modernization Important?

It allows businesses to reduce technical debt, improve data quality, and gain the agility required to compete in an AI-driven market.
When Should a Company Invest in Data Modernization?

You should consider it when you face high maintenance costs, slow processing speeds, or when your current systems limit your ability to adopt new AI or analytical tools.
What Challenges Can Data Modernization Services Solve?

They solve challenges related to data silos, legacy system bottlenecks, security vulnerabilities, and the lack of integration between disparate business units.
How Long Does a Data Modernization Project Usually Take?

The timeline varies based on your current data estate and business goals. We typically utilize a phased approach to deliver value early and scale as needed.