AI/ML Production Support — Fix Live Model, LLM, RAG & MLOps Issues Fast

Model drift and accuracy regressions, inference latency and timeout spikes, GPU/CPU cost and memory blowups, RAG pipelines returning wrong or hallucinated answers, embedding and vector-index problems, feature store and data drift issues, failing batch/streaming jobs, and rollback and recovery situations. We work the incident live with you until the system is stable.

Usually within the same working session. Message us on WhatsApp with the symptoms and stack, and we assign an engineer who has handled that class of incident before. For active outages we prioritize immediate response.

Yes. LLM and RAG systems are a core focus — retrieval quality collapse, chunking and embedding issues, prompt regressions, context-window and cost problems, evaluation gaps, guardrail and safety failures, and latency from multi-step chains and agents. We help you diagnose and fix answer-quality and reliability issues.

Yes. Beyond the immediate fix, we help you add the right observability — model and data drift monitoring, evaluation harnesses, latency/cost dashboards, alerting, and safe rollback paths — so the next regression is caught early. See our model monitoring support.

Completely. We never share client, employer, or system details with any third party, and NDAs are available on request. All incident work is handled with full professional discretion.