Top 10 AI-Driven Legacy Modernization Companies for Enterprises

How We Selected the AI-Driven Legacy Modernization Companies

We have selected the best consulting firms for modernizing legacy IT systems based on the following factors.

• Years of experience in Legacy Modernization: We have prioritized AI-driven legacy modernization companies that have a track record of delivering complex enterprise-grade solutions with documented case studies. They should have shown their expertise in modernizing legacy systems such as mainframes, monolithic applications, and outdated data platforms. 
• Technical AI expertise: We have given higher preference to legacy modernization companies that have used cutting-edge technologies like AI, machine learning, and generative AI. It is used for analyzing the code, refactoring, testing, and migration. 
• End-to-End Modernization Services: We have given higher priority to legacy system modernization companies that offer comprehensive modernization services, spanning application assessment, architecture redesign, cloud migration, testing, and post-migration optimization.
• Security and Compliance: We have assessed the legacy modernization solutions that have strong adherence to security and compliance standards, such as ISO certifications and SOC2 compliance.
• Client review and feedback: We have reviewed client testimonials, case studies, and positive reviews to measure the track record of legacy modernization companies.

Top 10 AI-Driven Legacy Modernization Companies

1. Entrans

Entrans Technologies is a custom software development company that delivers scalable, secure, and high-performance digital solutions. We focus on transforming outdated systems into scalable, cloud-native, and AI-ready platforms through automated refactoring and modern architecture design. We use Agentic AI agents that can perform complex tasks such as dependency mapping and code refactoring.

Key Services of Entrans

• AI-Led Discovery and Assessment: Entrans uses AI for system audit. We scan the legacy environment to identify hidden connections between applications, data, and infrastructure. This includes auditing the legacy applications, mapping dependencies, and evaluating cloud readiness.
• Application modernization services: We provide legacy application modernization services​ , including upgrading core application code, migrating outdated programming languages and frameworks to modern stacks (Refactoring and re-architecting). They decompose monolithic applications into microservices or modular components. Thereby, they improve maintainability, scalability, and cost efficiency.
• Data and Cloud Modernization services: One of the core services provided by Entrans is modernizing the underlying data architecture. We build real-time streaming pipelines, update data layers to support analytics, and ensure they are cloud-ready and become stable. Through this, we enable better performance and future AI/ML integration.
• Agentic AI: Being an AI-first digital transformation partner, we support future analytics and machine learning integration. We integrate proprietary Agentic AI frameworks into enterprise layers such as CRM, ERP, and analytics. AI is integrated by embedding in Generative AI and Machine learning directly into re-architectured workflows for getting real-time insights.
• CI/CD pipelines and Governance: Entrans implements automated CI/CD pipelines, version control, and governance policies. This approach has shortened the release cycles.

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2.Accenture

Accenture is a leading Information Technology (IT) and management consulting company. They deliver cloud value by combining an AI-first intelligent transformation strategy with industry experience. Their legacy modernization solutions include proprietary tools like Accenture GenWizard, which includes automated code analysis and refactoring.

Key Services of Accenture

• Accenture uses GenAI to accelerate the migration of business-critical mainframe applications to the cloud. This reduces the infrastructure costs by 70% through automated testing and microservices development.
• They transform legacy environments into adaptive autonomous systems that integrate data and AI for predictive operations.

3. Radixweb

RadixWeb is a global product engineering partner that specializes in AI, Data, and cloud-driven software solutions. They mainly focus on a security-first methodology that uses AI-led code intelligence to analyze legacy code.

Key Services of RadixWeb

• Radixweb utilizes AI-powered tools to conduct a deep-drive audit of legacy mode. This process extracts business logic and identifies code to ensure a failproof modernization roadmap.
• Radixweb utilizes GenAI to automate code refactoring and translation. This accelerates the transformation of monolithic systems into microservices and cloud-native architectures while maintaining high code quality.

4. Infosys

Infosys is a pioneer software company established in India. Their AI-first core transforms legacy constraints into a fluid and timeless enterprise. By their proprietary framework, Infosys Topaz, their approach uses generative AI to automate the entire lifecycle from code refactoring to documentation.

Key Services of Infosys

• Infosys uses GenAI to automate the analysis, documentation, and conversion of legacy code into modern architecture, such as Java APIs or microservices. This reduces the manual effort by up to 30%.
• They mainly accelerate the migration of business-critical systems to the cloud through automated discovery and reverse engineering, by achieving a 40-60% reduction in modernization costs.
• Utilizing the LegMap platform and AI-led QA solutions, they automate test case preparation and execution that compresses test cycle time by 50%.

5. Cognizant

Cognizant is a global professional services company that helps clients engineer modern business. Cognizant’s legacy modernization services are coined as the Human + AI approach, which is designed to transform legacy systems into engines of growth. They have shown a reduction in operational costs of up to 40%.

Key Services of Cognizant:

• Using Cognizant Skygrade, they utilize generative AI to reverse-engineer legacy applications, filling documentation gaps and extracting complex business rules from old code to prepare for migration.
• Cognizant uses GenAI to translate legacy languages into modern cloud-native Java, showing a reduction in modernization of up to 40%
• Their Flowsource platform integrates AI copilots and agents across the development lifecycle to automate code refactoring, generative unit testing, and perform automated security reviews, boosting developer productivity.

6. Capgemini

Capgemini is a global IT consulting company that delivers tangible business value. Capgemini uses its CAAML (ADI-assisted Legacy Modernization) framework to automate end-to-end transformation of complex estates. 

Key Services of Capgemini

• Capgemini uses Generative and Agentic AI to refactor complex legacy codebases into cloud-native architectures, automating business rule extraction and documentation.
• They integrate AI agents into the software development life cycle (SDLC) to automate testing, data migration, and gap discovery, ensuring high-quality, scalable cloud transitions.
• Capgemini fast-tracks the migration of legacy workflows into modern, Pega Infinity environments, reducing manual efforts by 80%.

7. Hexaware Technologies

Hexaware Technologies is a global IT service and consulting firm. They specialize in cloud replatforming and agentic AI-led transformation by using autonomous AI agents to automate code refactoring, dependency mapping, and business logic extraction.

Key Services of Hexaware Technologies

• Hexaware Technologies automates the assessment and refactoring of Java, .NET, and TIBCO applications. Using the Amaze platform, they handle code conversion, containerization, and database migration.
• Hexaware deploys autonomous AI agents to reverse-engineer legacy code, extract complex business rules, and bridge the gap between mainframes and cloud-native ecosystems.
• They utilize AI to automate ERL migration, data validation, and CI/CD pipelines creation. This ensures a high-velocity transformation that compresses timelines.

8. Code District

Code District is an award-winning digital transformation partner that helps businesses turn outdated systems into assets. They specialize in creating future-ready digital products that use advanced AI and data architectures. They emphasize AI-assisted code refactoring and predictive analytics to automate the extraction of business logic and identify performance bottlenecks.

Key Services of Code District

• Code District starts with AI-led discovery by performing automated audits, mapping complex dependencies and hot-spots to create a transparent, risk-assessed roadmap.
• They utilize AI to automate cloud migration (AWS/Azure), containerization, and data rationalization, and get AI-driven insights.
• Code District’s GenAI-Assisted code refactoring extracts legacy business logic and refactors monolithic code into a modern cloud-native architecture.

9. IBM

IBM’s digital transformation services are focused on driving intelligent workflows and end-to-end business transformation. They mainly integrate AI and cloud platforms, especially using the proprietary Watsonx platform.

Key Services of IBM:

• IBM utilizes AI-powered tools like ADDI to map complex dependencies and provide natural language explanations of legacy codebases.
• Through their IBM consulting Advantage platform, they use AI to automate code containerization and migration of Java applications to cloud-native applications.
• They utilize Generative AI to automate the refactoring and transformation of COBOL business logic into high-quality Java code.

10. Deloitte

Deloitte Digital’s digital transformation approach is to create a profound business transformation. Their legacy system modernization services are characterized by the Intelligent Core philosophy, which shifts from reactive maintenance to an adaptive, AI-native architecture.

Key Services of Deloitte

• Deloitte embeds Generative and Agentic AI into the entire development lifecycle. This automates complex tasks like business rule extraction (code mining), documentation generation, and automated test cases.
• Deloitte uses its innoWake platform to provide 100% automated conversion of legacy languages into modern Java or .NET stacks.

Core Services Provided by AI-Driven Legacy Modernization Companies

AI-driven legacy modernization companies provide a wide range of services that use automation centered on transforming outdated systems using generative AI. The core legacy application modernization services​ are

• Discovery and Assessment: Legacy systems often lack documentation, so AI-driven legacy modernization companies assess existing systems. With the help of AI, companies perform deep code and database tracing to identify the technical debt, dependencies, security vulnerabilities, and opportunities for modernization.
• Automated Code Analysis: Legacy modernization solutions use AI to interpret complex legacy code and convert it into modern programming frameworks, such as moving from one language to another, MDX to DAX. This reduces the manual effort and time.
• Data schema and modernization Services: AI tools analyze data structures and automatically generate mapping scripts for modern cloud databases. 
• Cloud migration and Platform modernization: AI-powered tools do cloud modernization services by assessing cloud readiness and recommending optimal migration strategies such as rehosting, refactoring, and replatforming.
• Testing and Parallel validation: AI-driven modernization enhances testing by automatically generating test cases, detecting bugs, predicting performance bottlenecks, and identifying security vulnerabilities before deployment.
• Optimization and Support: AI-driven legacy modernization companies monitor system performance, optimize resource utilization, and identify improvement opportunities.

How to Choose the Best AI-Driven Legacy Modernization Company for Your Business

Choosing the leading IT services companies for legacy modernization is more than lift and shift with the rise of Agentic AI and self-healing architectures.

• Experience with legacy systems: Analyze the legacy modernization company that has hands-on experience with legacy systems such as mainframes, monolithic applications, and legacy ERPs.
• Industry-Specific Experience: Pick up the legacy modernization companies that have a proven track record in a specific domain, e.g., finance, healthcare. 
• Structured Modernization framework: Focus on the methodology, a phased approach followed by the legacy modernization company. They cover the roadmap, definition, execution, and optimization. 
• AI and Automation capabilities: Ensure that the legacy modernization company uses advanced AI-based tools for code analysis, data migration, and automated testing. 
• Testing and Quality Assurance: A legacy modernization company should use AI-powered tools for automating the test case generation and performance validation. Continuous testing minimizes downtime and makes it easier to solve issues after it goes live. 
• Client feedback and case studies: Ask for the testimonials and verify whether they offer similar solutions needed for your organization, a legacy modernization company.

Future Trends in AI-Driven Legacy Modernization Services

AI-driven Legacy modernization services have shifted from simple code conversion to the creation of autonomous, self-evolving software ecosystems. 

• Agentic AI and Multi-Agent: Agentic AI helps in analyzing COBOL logic and maps dependencies. Multi-agent workflows are an increasingly agent-led process overseen by humans. Agentic AI will make modernization services autonomous with minimal human intervention.
• Generative AI: Gen AI is used for automating the analysis, refactoring, and documentation of legacy code to modern language platforms. They boost developer productivity by 20-30%. Combined with ML, they automate operational flows and predictive maintenance.
• Self-healing architecture: IT legacy modernization in 2026 will include self-healing architecture. AI agents continuously scan the codebase to identify bugs and fix emerging technical debt. They perform root cause analysis and apply fixes automatically.
• Enhanced security and compliance: AI tools scan the legacy code for vulnerabilities and policy gaps, ensuring compliance during the modernization process.
• AI-Augmented Testing and Quality Assurance: AI is used in generating test cases, detecting any anomalies, and predicting failure points. Continuous testing helps in reducing post-migration defects and improves release reliability.

Why Choose Entrans as Your AI-Driven Legacy Modernization Services Partner

Legacy Modernization Services is about enabling continuous innovation and long-term operational efficiency. They also provide a smarter, faster path to transformation by automating analysis, migration, and optimization. Selecting an AI-driven legacy Modernization partner like Entrans brings in the AI expertise, proven frameworks, and automation-driven efficiency.

With our proven AI expertise, we ensure structured execution, handle the risks, and bring in measurable business outcomes. Our deep knowledge in using AI for legacy code modernization​ ensures modernization efforts are scalable, secure, and aligned with the business goals.

Want to know more about how we turn modernization into a continuous value-driven journey? Book a consultation call.