+1 (416) 505-4524

Contact us

+1 (416) 505-4524

Contact us

Data Modernization Solutions

AI-driven modernization removes tech debt and spurs business progress

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Bring your legacy systems into the future faster and safer — contact moc.ysqiler%40ofni

Cut tech debt. Reduce risk. Modernize with confidence.

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Mobile Apps

web app

Web Platforms

software

desktop app

Process

A Proven Framework for Data Modernization and Transformation

Reliqsy introduces data modernization consulting services that combine the speed and precision of AI with the deep domain expertise of human engineers. The framework utilizes Retrieval-Augmented Generation architecture and a Multi-Agent Swarm for comprehensive transformation. Experienced professionals manage every stage and control key decisions.

  • Issue: Tangled legacy code is hard to understand. Discovering it with traditional methods can extend to months. 
    Solution:With the MRI Scan, legacy code is transformed into a clear and transparent system of knowledge. The Archaeologist Agent reveals outdated libraries and security threats. Generated heatmaps reflect system complexity. Business capability maps implement functional requirements.
    What you get: A full visibility of opaque legacy code through the Tech Debt Audit Report and the Visual Dependency Graph

  • Issue: The absence of a definite modernization plan impedes progress, extends timelines, and undermines results.
    Solution: Strategic planning is performed through several components. By Topological Sorting, the Dependency Mapper builds the safe modernization order. The Slicer breaks a large application into smaller business-focused modules and identifies where to add APIs. The Estimator plans the time and effort required for modernization. RAG injection adds functional constraints.
    What you get: A Jira/Linear Backlog and a Dynamic Gantt Chart, as a prioritized migration roadmap 

  • Issue: Without proper testing, new code can cause issues and regressions, disrupting operations with unpredictable behavior.
    Solution: Test-driven modernization is performed with a set of agents. The QA Agent discovers the behavior of the existing system. The Architect Agent utilizes AI to create an accurate version of the legacy application. The Review Agent verifies the new app behavior. Vision-capable agents ensure visual parity for mobile and web UI.
    What you get: Automated tests and OpenAPI/Swagger documentation guarantee full verification of functional equivalence

  • Issue: An unsuccessful transition can hamper business operations through data issues, emergency rollbacks, and significant downtime.
    Solution: The transfer is fulfilled safely through Intelligent Proxies and Canary Deployments. The Traffic Controller redirects traffic according to user segmentation. The Data Agent guarantees that both legacy and modern databases remain consistent. Automated Rollback Logic initiates the switch to the legacy app if the new one cannot handle the traffic or experiences issues.
    What you get: A smooth, gradual transition with a parallel run of both systems, monitored through the Migration Health Dashboard.

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Challenges

Why Data Modernization Projects Become Complex

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Stakeholders struggle to trust modernization outcomes 

Without clear goals and a transparent process, decision-makers cannot track the modernization progress, while timelines and budgets can extend. The unpredictability around scope, cost, and system behavior makes stakeholders unconfident in modernization outcomes.

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Data is fragmented across multiple systems   

Critical data is often scattered across legacy apps, databases, and third-party systems with varying formats and duplicate records. Modern data architecture solutions mitigate integration risks and organize data into a single, reliable source of truth.

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Legacy data architectures limit scalability 

Legacy applications are usually built with rigid, monolithic data architectures that were not prepared for modern workloads. With expanding data volumes and business demands, these outdated structures become difficult to scale. They block performance, flexibility, and the ability to integrate with cloud technologies.

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Data warehouses become difficult to maintain  

Reliance on outdated architectures, complex ETL processes, and tightly coupled integrations makes legacy data warehouses hard to support. They continually impede analytics, increase operational costs, and often fail to meet growing business requirements.

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Data quality and governance issues increase risk 

Mismatching data formats, duplicate records, missing metadata, and weak governance policies are inherent in legacy systems. They compromise data reliability and compliance. Poor data quality may result in inaccurate analytics and errors, increasing modernization complexity and risks.

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Modernization initiatives lack visibility

When data modernization projects lack clear progress tracking, dependency mapping, and performance insights, migration decisions become vague and outcomes unpredictable. The comprehensive picture and real-time visibility into migration status are necessary to make informed decisions and keep the transformation schedule and budget.

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Cloud adoption becomes more difficult   

Tightly coupled infrastructure and outdated architectures are not intended for the cloud. This complicates migration, increases integration effort, and hampers cloud adoption. Modernization requires significant rework to guarantee scalability, security, and performance in modern environments.

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Reliqsy’s SOLUTION

With Reliqsy, Data Modernization Becomes Predictable

Reliqsy is a suite of proprietary data modernization solutions created by a software development company. The framework utilizes AI for speed and accuracy and works under full expert oversight to guarantee reliable and predictable transformation.

What Changes When You Modernize with Reliqsy:

  • 01

    AI maps data ecosystems automatically 

    Automatic identification of legacy data systems and their relationships

  • 02

    You receive a clear modernization roadmap   

    A structured modernization plan establishes clear priorities and goals

  • 03

    Data dependencies become visible 

    AI agents identify all data dependencies across systems and components.

  • 04

    Data architecture becomes future-ready   

    Data architecture is transformed to meet the demands of scalable, modern systems.

  • 05

    Data warehouse modernization becomes manageable  

    AI-driven automation and clear mapping simplify data warehouse modernization

  • 06

    Governance and quality improve 

    Automated validation and monitoring ensure structured and manageable data

  • 07

    Stakeholders gain modernization transparency 

    Convenient dashboards allow stakeholders to track migration and code quality

  • 08

    Cloud readiness accelerates  

    Reliqsy modernizes for full compatibility with modern cloud infrastructure

  • 09

    Teams focus on analytics and innovation

    Easier maintenance allows engineering teams to switch to innovative initiatives 

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Reliqsy.APP

  • Let's Work Together!

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Reliqsy Combines AI-Powered Analysis with Data Modernization Expertise  

Reliqsy is an AI-enabled modernization tool that works with the full support of a professional engineering team for comprehensive data modernization consulting services. AI agents perform the transfer from analysis to code generation, with human experts guiding every critical step and decision.

  • 12

    Years
    Of Experience

5x

faster system understanding

3x

reduction in modernization risk

2x

improvement in engineering productivity

Ready to Modernize Your Data Environment? 

Discover how to make the transfer fast, safe, and risk-free by arranging a meeting with Reliqsy engineers. They will walk you through the entire process, explaining how the tool assesses the existing databases, eliminates technical debt, and upgrades your data system. 

START YOUR DATA MODERNIZATION JOURNEY

Book a consultation

OUR APPROACH

AI-Assisted Data Modernization with Human Oversight  

Reliqsy combines AI-enabled speed and scalability with expert validation. Data modernization services driven by AI automate analysis, mapping, and transformation tasks while experienced engineers guide every critical decision. This approach minimizes risk and guarantees reliable outcomes.

From legacy to modern, no limits!

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  • 01

    Experts validate modernization strategies  

  • AI agents discover the data system and plan the modernization strategy based on technical findings. Human engineers control, check, and confirm the strategy before the project starts.

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  • 02

    Engineers approve modernization changes

  • AI-generated logic and code are sent for engineering review via a Pull Request. Experts check and approve every change before implementation to ensure technical precision and business alignment.

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  • 03

    Teams maintain complete modernization control

  • Comprehensive expert supervision allows engineers to pause the automated transfer in case of migration issues. The traffic switches to the old app version, and system operation continues.

Why Reliqsy App?

Reliqsy changes the game with a structured, AI-powered approach:

AI scans legacy codebases
Builds system intelligence
Generates modernization roadmap
Assists code modernization
Ensures behavioral parity
Enables zero-downtime migration
Accelerated cycles
Bias-free decisions
Transparent progress
Future-ready scalability

Get in Touch With Us

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FAQ

  • AI-enabled data modernization solutions like Reliqsy relieve teams from manual code analysis and migration. Instead, Reliqsy automates data mapping, dependency analysis, testing, and documentation. With comprehensive expert control, this ensures speed, safety, and reliability for risk-free modernization.

  • Reliqsy data modernization consulting services include meticulous planning, phased rollout, and a parallel run of the old and new application versions to guarantee an uninterrupted transition with full functional parity. A seamless traffic shift is performed through Intelligent Proxies and Canary Deployments.

  • Experienced in healthcare data modernization solutions, the Reliqsy team guarantees data integrity through automated validation, traceability, and migration processes supervised by experts. Compliance is integrated into every modernization stage. While AI performs data transformation and quality checks, engineers control alignment with HIPAA, GDPR, SOC 2, ISO 13485, and more.

  • AI data modernization services solutions automatically detect inconsistent schemas, duplicate records, missing relationships, and hidden dependencies in legacy systems. With automated validation and review by Reliqsy experts, this helps standardize data, making the system more organized and controllable.

  • Reliqsy introduces modern data solutions for risk-free migration. The framework continuously validates migrated components against legacy behavior, monitors system health, and initiates automated rollback if issues occur. AI-enabled analysis, engineering control, and phased implementation strategies minimize the probability of failures.