Swedish startup, Farang, has successfully raised €1.5 million in seed funding to advance their groundbreaking AI research and development. The funding round was led by Voima Ventures and the Amadeus APEX Technology Fund, with participation from notable angel investors including Tero Ojanpera (Co-founder, Silo AI), Nilay Oza, and Niraj Aswani (Former Founders, Klevu).
Farang is an AI research lab based in Stockholm, developing the next generation of foundational Large Language Models. “We’re developing a fundamentally new approach to artificial intelligence that challenges the dominant Transformer architecture used by current market leaders like ChatGPT, Claude, and Gemini. While most AI companies rely on the same underlying technology introduced by Google in 2017, our innovative architecture mimics how the human brain works to create more intuitive and efficient responses,” written in the company’s announcement.
Their breakthrough technology comprehends the complete response first – like imagining a picture before painting it – and then translates that concept into words. This approach enables them to deliver more coherent responses while using twenty-five times fewer computational resources, resulting in significantly lower training costs.
“We’re not building another application layer on top of existing models,” explains Emil Romanus, Farang’s Founder. “We’ve developed a completely new foundational architecture that enables us to create specialized AI assistants that outperform current solutions in specific domains like programming and medicine, while using dramatically less computational power. Based on current testing, we believe the percentage of resources used will decrease even further in the future.”
This funding will enable the company to scale its proof-of-concept models and invest in the computing power necessary for training and fine-tuning models for specialized use cases. The team is initially focusing on areas where current AI assistants struggle or underperform, including:
- AI assistants for specific programming languages and frameworks (starting with React programming)
- Specialized medical field applications
- Internal company AI tools with full privacy controls
Farang’s technology offers a critical advantage for organizations in healthcare, legal, and financial services by enabling them to deploy specialized AI models on their own premises with complete data sovereignty. Rather than sending sensitive information to external AI services, companies can train and run their models entirely in-house.
“Our vision is that companies will have these specialized assistants running on their own infrastructure, integrated with their existing systems,” adds Romanus. “A law firm could have an AI that understands its specific practice areas and case history, or a research hospital could have an assistant trained on their unique patient data—all while keeping that sensitive information completely private.”
