Leverage our compliance metrics or create your own
Ensuring the safety, security, and compliance of your Al Assistants is paramount.
Place your domain experts in the driving seat to validate AI Assistants at scale with a few clicks. Make sure Al abides by your policies and product requirements.
Create test sets 10x faster with Alinia
Poorly-validated Al Assistants lead to non-reliable and undesirable output.
Evaluation datasets are key to validate AI Assistants' compliance with specific policies and regulatory requirements.
Craft your legal & business-specific evaluation datasets informed by regulatory requirements 10x faster.
Not sure what LLM is best for regulated scenarios?
Avoid spending days, several engineers, and experts manually testing LLM.
Create your own business-specific LLM scorecards 8x faster.
Understand the performance of your AI Assistants
Test and red team your AI assistants in business-specific scenarios informed by applicable regulations.
Our platform is model agnostic, and helps companies navigate the dynamic open LLM space and ensure that our evaluation and alignment techniques work across any foundation model and Gen AI application. We support both cloud and on-prem solutions.
Whether you want to integrate one or multiple models, you have the option to access them via Alinia’s Platform User Interface, or call our alignment APIs directly.
Select the single offering you need or select them all
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.