Legacy code refactoring
Untangle monoliths into maintainable, testable services.
We refactor your entire infrastructure to be AI-friendly, then build intelligence on a foundation that can actually carry it.
Models are the easy part. Messy data, tightly coupled code and undocumented APIs are what kill AI projects.
Untangle monoliths into maintainable, testable services.
Clean schemas and pipelines so AI can trust your data.
Stable interfaces that models and agents can call safely.
Logging, tracing and evals so you can measure AI behavior.
Prompt-injection defense, access control and data protection.
Containers and CI/CD ready for inference workloads.
Chat and agents grounded in your data and workflows.
Ask questions across your documents, knowledge base and records.
Extract, classify and analyze contracts, forms and reports.
Cut repetitive work with AI-driven pipelines.
We map your code, data and risks.
Incremental modernization with no big-bang rewrite.
Build and evaluate features on the clean base.
Secure rollout with ongoing tuning.
Pair refactoring with a prompt-injection and LLM security audit.
It means clean, documented services, structured and accessible data, stable APIs, proper observability and security, the foundation AI features depend on.
No. We assess first, then refactor incrementally, isolating legacy pieces behind clean interfaces so your business keeps running.
LLM assistants, retrieval over your documents and data, document analysis, workflow automation and AI-powered search, integrated into your existing product.
Tell us about your project and get a clear plan, timeline and price.