At intuist.ai, we are committed to minimizing the carbon footprint of artificial intelligence. Our proprietary Retrieval Augmented Generation (RAG) technology is designed to optimize computing resources, ensuring that only the minimal necessary payload is processed, reducing both power consumption and costs while maintaining top-tier performance and accuracy.
Efficient Computing
intuist.ai continuously evaluates cutting-edge large language models (LLMs), including those with a focus on reducing training energy requirements. Our plug-n-play LLM architecture ensures we can seamlessly integrate the most efficient models available, without compromising the quality of responses.
Sustainable AI
From training to inference, every step of our AI development lifecycle is optimized for power efficiency. We harness responsible computing strategies to lower energy consumption while maintaining best-in-class AI-driven solutions.
Carbon-Conscious Partnerships
We prioritize collaborations with AI vendors and partners who share our vision of sustainability, ensuring that our AI operations contribute to a reduced global carbon footprint.