The conversation about AI alignment is more critical than ever. With DeepSeek revolutionizing the tech world, the question of aligning AI models to human values and preferences takes center stage…
New AI advancements led by an ever-faster innovation pace, the race from companies to adopt generative AI at scale, and upcoming AI regulations, urge the industry to commit efforts towards a safe and responsible adoption of…
Announcing a $2.4M in pre-seed round to enable safe & controlled deployment of generative AI
Broad adoption of generative AI (GenAI) is underway, with spending forecasted to hit $143 billion by 2027. Still, its rapid adoption comes with significant challenges —the main one is managing control and safety of GenAI applications…
The rise of AI: After years of experimentation, early movers have demonstrated the value AI can deliver, offering vastly improved personalization and decision-making at scale. These companies have realized material cost savings while taking…
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.