At Alinia, we’re building the foundation for safe and scalable AI—where LLMs and agents operate within clear, reliable boundaries. Our latest research pushes the frontier of guardrails for both RAG-based systems and autonomous agents, helping enterprises deploy GenAI with greater confidence.
From detecting hallucinations in six languages to benchmarking safety and precision in agent behavior, our multilingual RAG Guard system now outperforms top models from OpenAI, IBM, and Amazon—delivering up to 40% better accuracy in regulated, high-stakes environments.
Our Alinia RAG Guard is a leading model for detecting hallucinations and irrelevance in RAG-based applications. Tested across six languages and benchmarked against industry leaders like GPT-4o-mini, IBM Granite, and AWS Bedrock, our multilingual guardrails deliver up to 40% better performance in reducing errors—especially in high-stakes domains like finance and healthcare. Built for trust, speed, and precision, Alinia RAG Guard empowers enterprises to deploy reliable, regulation-ready AI assistants at scale.