Your organization has already built an LLM-based solution and you want to know if it is trustworthy and compliant.
MLA-BiTe
Identify and expose hidden biases in your AI system related to sensitive categories by designing tests tailored to your organization's specific needs and scenarios in multiple languages.
Test your chatbot on hundreds of interactions with AI-simulated customers with unique identities, personalities and requests based on your organizations' needs and real use cases.
Test your LLM-based system's resistance to jailbreaking using sets of curated harmful prompts and a scoring system that measures its willingness and ability to generate unsafe content.
Evaluate your multilingual RAG system with MLA-RAGAS: extended RAGAS metrics enhanced by language-aware scoring, translation checks, and cross-lingual consistency tests.
