Modernize with AI. Modernize for AI.
Transform your legacy apps with AI-powered tools that accelerate code analysis, automate refactoring, and deliver future-proof, cloud-native apps—fast
Traditional modernization methods are manual, slow, and often incomplete. Our AI-powered modernization services deliver speed, clarity, and precision you simply can't achieve through old-school methods.
Manual assessments are time-consuming and leave room for oversight. Our AI-powered approach automates deep system scans, generating comprehensive documentation and actionable insights—without guesswork or gaps.
Working with undocumented legacy systems? No problem. Our tools decode even the most complex and outdated codebases, extracting embedded business logic and auto-generating clean documentation—filling in where your team left off years ago.
What used to take architects weeks, we now accomplish in hours. Our GenAI agents can perform end-to-end portfolio assessment and rationalization at a pace that redefines industry norms—without compromising architectural integrity.
Modernization isn't just technical—it's strategic. Our process keeps your business stakeholders in the loop, ensuring every transformation supports your real-world goals and workflows.
We don't just analyze code—we uncover architectural flaws, security risks, technical debt, and system dependencies in one cohesive view. You see what you have and what needs fixing—all in one place.
Using specialized AI agents, we provide a 360° view of your application—including feature mapping, vulnerability scanning, software composition, and technical debt metrics—offering both engineering and business perspectives in a single dashboard.
Legacy systems are holding enterprises back. They're hard to scale, expensive to maintain, and unfit for the AI-driven economy. Intelligent modernization is the bridge from outdated to outstanding—delivering:
Adopt modern architectures and DevOps practices.
Reduce technical debt and operational costs.
Unlock the value of AI and cloud-native capabilities.
See how AI transforms every phase of application modernization, delivering faster results with greater precision and insight.
Phase | Traditional Approach | AI-Powered Approach |
---|---|---|
1. Discovery & Assessment | Manual interviews, tribal knowledge, outdated docs, spreadsheets | AI scans codebase, auto-generates architecture, maps dependencies, analyzes usage & gaps |
2. Code Analysis & Reverse Engineering | Manual code reading, dependency diagrams drawn by SMEs | AI auto-parses code, identifies business logic, reconstructs missing documentation |
3. Technical Debt Identification | Requires architects to comb through manually | AI pinpoints hotspots, unused modules, outdated libraries, and code complexity in real-time |
4. Application Rationalization | Long workshops with multiple business units | AI agents propose rationalization matrix by matching usage, business criticality, and cost |
5. Target Architecture Design | Requires architect intervention and documentation efforts | AI suggests cloud-native patterns (microservices, event-driven, APIs) based on current structure |
6. Refactoring / Rewriting | Manual rewrite, high time and cost | AI-assisted refactoring with code generation, automatic microservice split, test generation |
7. CI/CD & DevOps Setup | Manual YAML files, infra provisioning, scripting | AI auto-generates pipelines, optimizes build/test/deploy scripts, suggests deployment patterns |
8. Testing & Validation | Manual test case writing and execution | AI auto-generates test cases, runs regression, performs load testing with self-healing logic |
9. Deployment & Monitoring | Manual deployment steps, human monitoring | AI-managed blue-green deployments, anomaly detection, AI-driven observability dashboards |
Embrace AI-driven application modernization to unlock the full potential of your systems. Future-proof your operations, enhance efficiency, and position your business for sustained growth.