Farang raises €1.5M to launch outperforming AI models

Stockholm-based AI research lab Farang has raised €1.5 million in seed funding to develop a novel foundational architecture for large language models (LLMs). Unlike traditional transformer-based systems, Farang's architecture comprehends the entire response before generating text, enabling more coherent outputs and a 25x reduction in computational resource usage. The round was co-led by Voima Ventures and the Amadeus APEX Technology Fund, with participation from angel investors including Tero Ojanpera, Nilay Oza, and Niraj Aswani. Farang plans to initially focus on specialized applications such as React programming and niche medical domains, and it supports on-premises deployment for privacy-sensitive enterprises. The funding will be used to scale proof-of-concept models and invest in computing power for training and fine-tuning.