At Farang, 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.
Our breakthrough technology comprehends the complete response first—like imagining a picture before painting it—and then translates that concept into words. This approach enables us 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.”
Targeting Specialized Applications
This funding will enable us to scale our proof-of-concept models and invest in the compute power necessary for training and fine-tuning models for specialized use cases. We’re 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
Our 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 our 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.”
Investor Confidence in Our Vision
Our investors recognize the transformative potential of our technology. Inka Mero, Managing Partner & Founder of Voima Ventures, commented: “We look for exceptional founders and technologies that reset the curve—not just optimize around the edges. Farang showcases how Europe can step up in the global AI race, as its foundational architecture provides a true paradigm shift—specialized, efficient, and enterprise-grade from day one.”
Ion Hauer, Principal at APEX Ventures, added: “We’re constantly evaluating breakthrough technologies that could redefine entire sectors, and Farang caught our attention immediately. For years, the industry has been making incremental improvements to the same Transformer foundation. What Emil and his team have developed represents a fundamental architectural leap—the kind of foundational change we believe will separate the next generation of AI leaders from today’s incumbents.”
Looking Ahead
While we’re starting with specialized applications to prove our technology, we have ambitious long-term goals to become a market leader in artificial intelligence, ultimately aiming to compete with and surpass current leaders in the general AI space.
“We’re taking a different path than the big tech companies,” said Romanus. “By proving our architecture works in specialized domains first, we’re building the foundation to eventually challenge the current leaders across all AI applications.”
We’re currently targeting individual developers and AI enthusiasts as early users and have launched a waitlist for initial access to our technology.
About Farang
Farang is an AI research lab based in Stockholm, Sweden, developing the next generation of foundational Large Language Models. Founded in 2025, we consist of a team of five highly experienced researchers, developers, and business professionals led by Emil Romanus, an engineer with over 20 years of experience in search, AI, and startup ventures.