Cross-Lingual RAG Architecture
Design retrieval pipelines that keep source evidence, translated queries, embeddings, reranking, and generated answers aligned across markets.
Enterprise Globalization Infrastructure
Corporate NLP & Localization Systems
Helping global technology platforms adapt LLMs to international markets. Specialized engineering in cross-lingual Retrieval-Augmented Generation (RAG), programmatic translation evaluation, and cultural semantic alignment.
Hallucination Benchmarking
Build evaluation suites for factuality, citation quality, language drift, regional terminology, and model regressions before release.
Automated Prompt Localization
Convert prompts, guardrails, system instructions, and product flows into market-specific AI behavior without losing brand or policy intent.
Audit Scope
Know where your AI product breaks before your users do.
Our audit translates multilingual risk into an implementation roadmap your engineering team can act on: benchmarks, controls, architecture gaps, and market-specific localization priorities.
- 1 Multilingual retrieval and data readiness review
- 2 Translation quality and semantic alignment assessment
- 3 Hallucination, refusal, and factuality benchmark design
- 4 Localized prompt and workflow recommendations
- 5 Implementation roadmap for engineering teams
Enterprise Contact
Build for every market from the architecture up.
For corporate NLP, localization systems, RAG evaluation, and global AI infrastructure inquiries, contact info@mamulabs.com.
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