Bridging the gap between what works and what your business needs
We transform legacy applications and systems with AI, evolving them toward modern, flexible, and scalable architectures while preserving business rules and critical knowledge embedded in your existing technology.
We combine artificial intelligence, code analysis, and enterprise software expertise to assess your system, validate the strategy on a real application, and move forward with a gradual, controlled modernization process.
Maintaining legacy applications can increase maintenance costs, make it harder to introduce new features, and create dependencies on unsupported technologies.
Legacy systems often concentrate decades of knowledge and critical business rules. However, the lack of support, updates, and modern security mechanisms can increase the attack surface and make it harder to protect critical applications.
Rigid architectures and dependencies on older systems make it difficult to integrate new technologies, introduce features, and respond quickly to business needs. In addition, legacy applications cannot always be moved directly to the cloud. They may require adaptations, upgrades, or architectural transformation to truly benefit from Cloud capabilities.
A legacy application can remain critical to a business for many years. However, certain signs indicate when it may be time to start a legacy system modernization process:
We understand your system before transforming it
We analyze your legacy application, its code, architecture, dependencies, and technology environment to identify risks, opportunities, and critical areas.
We test the strategy on your actual system
We validate the application modernization strategy on a representative module or workflow. This allows us to verify the approach, compare results, and obtain an accurate estimate before proceeding with full-scale modernization.
We scale up the modernization process
Once the strategy has been validated, we progressively modernize the legacy system, prioritizing features and components according to business needs. We can handle the entire migration or proceed in stages, maintaining control over every deliverable.
We deploy the new platform to production and support its ongoing evolution.
We complete the transformation, deploy the solution to production, and hand it over so your team can operate and maintain it independently. If needed, we continue to provide maintenance, support, and ongoing development services to ensure the new platform continues to grow with your business.
We understand your system before transforming it
We analyze your legacy application, its code, architecture, dependencies, and technology environment to identify risks, opportunities, and critical areas.
We test the strategy on your actual system
We validate the application modernization strategy on a representative module or workflow. This allows us to verify the approach, compare results, and obtain an accurate estimate before proceeding with full-scale modernization.
We scale up the modernization process
Once the strategy has been validated, we progressively modernize the legacy system, prioritizing features and components according to business needs. We can handle the entire migration or proceed in stages, maintaining control over every deliverable.
We deploy the new platform to production and support its ongoing evolution.
We complete the transformation, deploy the solution to production, and hand it over so your team can operate and maintain it independently. If needed, we continue to provide maintenance, support, and ongoing development services to ensure the new platform continues to grow with your business.
Bring your applications up to date with current technologies and versions.
Evolve legacy applications toward new technologies and architectures.
Prepare your applications to operate more flexibly, securely, and at scale.
Modernizing a legacy system does more than reduce technological complexity. It also prepares the platform to incorporate AI copilots, agents, and intelligent automation.
With more than 25 years of experience in enterprise software development and process automation, Urudata Software combines technology consulting, artificial intelligence, and our Qflow BPM platform to transform the way organizations manage their work.
Accelerate modernization without losing control
50%* less migration time
Our modernization methodology can reduce application modernization time by at least 50%, accelerating transformation without compromising quality or business continuity.
*Result observed in modernization projects using our methodology and AI tools. Results depend on each application’s size, architecture, technology, and complexity.
Address audit findings, incidents, and risks associated with unsupported technologies by incorporating current security standards and mechanisms.
Modernize versions, frameworks, and components that have reached the end of their lifecycle, while making it easier to attract and retain technology talent.
Evolve legacy applications to integrate them into an ongoing Cloud strategy and take advantage of more flexible, scalable, and efficient architectures.
Update applications with limitations involving modern browsers, devices, and platforms, improving availability and the user experience.
Transform systems that lack APIs, documentation, or suitable architectures so they can connect with other platforms and support artificial intelligence initiatives.
In banking, outdated architectures and core systems can increase maintenance costs, hinder product development, and limit the adoption of new digital capabilities. Our modernization strategy enables you to evolve these systems progressively, securely, and at scale without disrupting operations.
Modernization makes it possible to integrate systems and data that currently operate in silos and build a technology foundation that supports increasingly automated operations. We evolve your platforms to facilitate integration, accelerate Cloud adoption, and enable new automation and artificial intelligence capabilities.
Modernization helps reduce technological complexity, connect applications and data, and create a more flexible architecture that can respond to new business needs. Build a platform ready to meet the insurance industry’s future challenges.
Laboratories rely on multiple applications, devices, and data sources that are not always integrated. Modernizing this technology foundation facilitates interoperability, improves traceability, and prepares information for new analytics and artificial intelligence applications.
We analyze your application, architecture, dependencies, and code to determine which modernization strategy makes sense before you invest in a full–scale transformation.
Legacy system modernization is the process of updating existing applications and technology platforms to bring them in line with current architectures, programming languages, frameworks, and infrastructure, while preserving critical functionality and business rules.
A legacy system can lead to high maintenance costs, security risks, dependence on unsupported technologies, and difficulties introducing new features. Modernization helps reduce these limitations and prepare technology for Cloud, new integrations, and artificial intelligence solutions.
No. A migration may move an application and its infrastructure to a new environment without substantially changing its architecture. Modernization involves adapting, refactoring, replacing, or rewriting components to take advantage of the capabilities of modern platforms.
We can modernize applications built with legacy technologies and migrate them to modern technology stacks. Examples include:
Plain JavaScript, jQuery, ASP.NET Web Forms, and ASP.NET MVC → Angular or React/Next.js
.NET Framework → .NET Core
Java → modern Java versions and architectures
Mobile applications developed with Xamarin or Android → PWA or Flutter
The strategy depends on each application’s architecture, functionality, integrations, and objectives.
Not necessarily. We assess each application to determine the most appropriate strategy. Depending on the situation, we can upgrade components, migrate frameworks, refactor code, replace specific modules, or perform a complete rewrite. Modernization Proof allows us to validate the strategy on a real part of the system before scaling up.
We use AI to accelerate tasks such as code analysis, dependency identification, business rule extraction, and the generation of functional specifications and documentation. AI can also assist with code transformation and validation, always within a controlled process that includes review and testing.
The cost depends primarily on the application’s size, programming language, architecture, number of integrations, complexity of business rules, test coverage, and modernization strategy.
Yes. Once modernization is complete, we deliver the code, documentation, and knowledge your team needs to operate and maintain the solution independently. You can also rely on our team for ongoing maintenance, support, and development.
You don’t need to replace everything at once.
We analyze your application, architecture, code, dependencies, and integrations to identify risks and define a viable modernization strategy. We validate the approach on the actual system before scaling up.
