Denmark’s NobodyWho: €2M for Local, Efficient AI 🚀

The AI landscape is quietly undergoing a fundamental shift, and Copenhagen-based NobodyWho just secured €2 million to accelerate it. This isn’t about building bigger, more power-hungry Large Language Models (LLMs); it’s about shrinking them and bringing the intelligence directly to *you* – your laptop, your phone, and crucially, without sending your data to the cloud. This pre-seed round, led by PSV Tech, The Footprint Firm, and Norrsken Evolve, signals a growing investor appetite for a more decentralized, privacy-focused, and sustainable approach to AI.

For the past year, the narrative around AI has been dominated by the race to build ever-larger LLMs – models requiring massive computing power and vast datasets, almost exclusively controlled by a handful of US tech giants. NobodyWho, founded by Cecilie Waagner Falkenstrøm and Asbjørn Olling, is deliberately charting a different course. They’re developing Small Language Models (SLMs) designed to run locally on devices. This isn’t a downgrade; it’s a strategic re-think. The benefits are threefold: significantly reduced energy consumption (early benchmarks suggest up to 500x lower emissions during inference), enhanced data privacy (no data leaves your device), and lower operational costs (no reliance on expensive cloud compute). This last point is particularly attractive for startups and organizations handling sensitive data.

The timing is critical. European regulators are increasingly focused on data protection (GDPR) and AI governance (the upcoming EU AI Act). Solutions that prioritize privacy and data control, like NobodyWho’s, are poised to gain a competitive advantage. Furthermore, the environmental cost of training and running LLMs is becoming a major concern – a problem NobodyWho directly addresses. The Footprint Firm’s investment is a clear indication that climate-tech is now a core consideration in AI funding decisions.

The Forward Look

NobodyWho’s success hinges on several factors. First, they need to continue refining their SLM engine to close the performance gap with larger cloud-based models. While the company claims impressive emission reductions, real-world performance and usability will be crucial for developer adoption. Second, expanding their developer ecosystem is paramount. The fact that over 5,000 developers are already using their open-source engine is a strong start, but scaling that community will be essential. Finally, watch for increased competition. While NobodyWho is an early mover, other companies are also exploring on-device AI. Apple, for example, is heavily investing in on-device machine learning capabilities. The next 12-18 months will be pivotal as NobodyWho seeks to establish itself as a leading provider of decentralized AI infrastructure, and a key player in bolstering Europe’s AI independence. The question isn’t *if* on-device AI will become mainstream, but *who* will define its future – and NobodyWho is positioning itself to be a major architect.