NobodyWho

Today’s large cloud-based language models are dominated by a handful of non-European tech giants. They require massive computational resources, constant internet connectivity, and the transfer of vast amounts of data to third-party servers. This creates high costs, locks users into specific providers, threatens data sovereignty, and comes with a large carbon footprint from training and inference.

NobodyWho allows Small Language Models (SLMs) that run directly on laptops and mobile devices, keeping data fully on-device. This local-first architecture preserves privacy, ensures data sovereignty, reduces energy consumption, and lowers CO₂ emissions by up to 100x for training and 500x for inference. Their open-source engine is easy to deploy and scale, enabling cost-efficient, climate-aligned, and human-centric AI accessible to both developers and organizations.