We review, clean up and harden AI-built software — including RAG systems, LLM workflows and cloud architecture — so it becomes production-grade.
Full review of codebase, vector DB structure, LLM layer, cost exposure, and infrastructure risks.
Improve chunking strategy, metadata architecture, hybrid retrieval and hallucination control.
Refactor unstable AI apps, add monitoring, optimize cloud spend and secure your stack.
AI-generated or rapidly built applications without strong architecture planning.
Yes. We stabilize AI systems built quickly by startups, agencies and internal innovation teams.
Yes. We optimize retrieval pipelines, embeddings, metadata and LLM orchestration layers.
Stop guessing. Get a structured audit and a production roadmap.